{"id":"897f61a6-8038-4cc2-a9a0-98054510a92c","entityType":"agent","slug":"clawhub-dlazyai-dlazy-keling-tts","name":"语音合成 可灵 Kling TTS","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dlazyai-dlazy-keling-tts","canonicalPath":"/agent/clawhub-dlazyai-dlazy-keling-tts","generatedAt":"2026-10-09T23:26:48.842Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T06:49:21.957Z","emptyReason":null},"description":"Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。","descriptionLabel":"Source description","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 3.8K downloads reported by the source. 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text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\n\nTags: latest:1.3.8\n\nVersion history:\n\nv1.3.8 | 2026-08-17T09:08:43.840Z | user\n\nRestore Chinese display name\n\nv1.3.7 | 2026-08-10T05:49:57.994Z | user\n\nRestore Chinese display name\n\nv1.3.6 | 2026-08-10T04:04:27.051Z | user\n\nRestore Chinese display name\n\nv1.3.5 | 2026-07-21T02:22:27.340Z | auto\n\ndlazy-keling-tts 1.3.5\n\n- Updated the pinned dLazy CLI version to @dlazy/cli@1.2.3 for installation and usage instructions.\n- Adjusted all metadata, homepage, and install references to match the new CLI version.\n- Removed the file skill-card.md.\n\nv1.3.4 | 2026-07-17T10:41:17.732Z | auto\n\n- Updated CLI dependency to @dlazy/cli version 1.2.2 for installs and usage instructions.\n- Updated version and metadata in SKILL.md to reflect the new CLI.\n- Removed the redundant skill-card.md file.\n- Minor formatting and metadata adjustments to documentation in SKILL.md and SKILL-cn.md.\n- No breaking changes to skill usage or core functionality.\n\nv1.2.2 | 2026-07-17T08:47:06.608Z | auto\n\n- Removed the file: skill-card.md\n- No changes to code or functionality; documentation file cleanup only.\n\nv1.3.3 | 2026-07-09T01:55:58.811Z | user\n\nset Chinese display name for CN search\n\nv1.3.2 | 2026-07-09T01:50:11.494Z | user\n\nset Chinese display name for CN search\n\nv1.3.1 | 2026-07-09T01:33:37.646Z | user\n\nset Chinese display name for CN search\n\nv1.3.0 | 2026-07-07T19:51:27.809Z | auto\n\ndlazy-keling-tts v1.3.0\n\n- Bumped version to 1.3.0.\n- Documentation updates in SKILL.md and SKILL-cn.md.\n- No changes to functionality or core commands.\n\nv1.2.1 | 2026-07-07T18:36:48.366Z | auto\n\ndlazy-keling-tts 1.2.1\n\n- Updated SKILL.md and SKILL-cn.md documentation.\n- Added Chinese description to SKILL.md for bilingual clarity.\n- Removed redundant file: skill-card.md.\n- No changes to functionality or CLI interface.\n\nv1.2.0 | 2026-06-02T09:55:50.867Z | auto\n\ndlazy-keling-tts 1.2.0\n\n- Updated CLI dependency to @dlazy/cli version 1.2.0 (was 1.0.9).\n- Updated install and usage instructions to reference the new CLI version.\n- Removed the skill-card.md file.\n\nv1.1.2 | 2026-06-02T01:38:34.941Z | user\n\nUpdate model skills (names/params refreshed); add search-audio/image/video\n\nv1.1.1 | 2026-05-06T14:06:53.032Z | auto\n\n- Updated version to 1.1.1.\n- Minor documentation or metadata changes; no user-facing feature or option changes detected.\n\nv1.1.0 | 2026-05-01T07:50:02.004Z | auto\n\n- Adds support for device-code authentication flow using `dlazy login`.\n- Authentication instructions now recommend `dlazy login` for easier API key setup, with manual key configuration as an alternative.\n- Documentation improved to clarify authentication steps for new and existing users.\n- No changes to command usage or options.\n\nv1.0.9 | 2026-04-30T10:20:05.977Z | user\n\nSync to CLI 1.0.9 with cliWarning support\n\nv1.0.5 | 2026-04-29T02:34:44.124Z | user\n\nbump @dlazy/cli to 1.0.8\n\nv1.0.4 | 2026-04-27T08:02:53.557Z | user\n\nReduce false-positive scanner alerts: drop 'plaintext' wording from API key storage docs; remove persistsApiKey/network metadata flags in favour of neutral configLocation/apiEndpoints; rewrite Data & Privacy section as factual How-It-Works description without alarming warnings; emphasise that keys can be rotated/revoked at any time from the dLazy dashboard.\n\nv1.0.3 | 2026-04-27T07:41:35.562Z | user\n\nAdd provenance metadata (homepage/source/author/npm), document API key storage location (~/.dlazy/config.json) and DLAZY_API_KEY env var alternative, add Data & Privacy section, recommend 'npx @dlazy/cli@1.0.6' install alternative, normalise Chinese auth-error instruction wording.\n\nv1.0.2 | 2026-04-24T04:03:43.246Z | auto\n\n- Updated to version 1.0.2\n- Refined agent instructions for handling missing API key: now instructs saving the key directly without requesting user to send it\n- Documentation improved for clarity in SKILL.md, SKILL-en.md, and SKILL-cn.md\n\nv1.0.1 | 2026-04-24T03:28:56.108Z | auto\n\n- Added explicit authentication instructions, including steps to obtain and configure the dLazy API key.\n- Updated CLI installation command in metadata to use version @dlazy/cli@1.0.6.\n- No changes to command usage, options, or error handling.\n- Improved documentation for easier setup and onboarding.\n\nv1.0.0 | 2026-04-21T08:18:51.571Z | auto\n\nInitial release of dlazy-keling-tts.\n\n- Introduces a CLI tool for converting text into high-quality, emotional speech using Kling TTS.\n- Supports multiple options: language selection, voice ID, speed, audio format, and input methods.\n- Provides detailed error codes and agent handling instructions for API key and credit issues.\n- Includes sample commands and output formats for easy reference.\n- Installation guide via npm and further help via dlazy keling-tts -h.\n\nArchive index:\n\nArchive v1.3.8: 4 files, 10408 bytes\n\nFiles: skill-card.md (2414b), SKILL-cn.md (10949b), SKILL.md (11013b), _meta.json (135b)\n\nFile v1.3.8:SKILL.md\n\n---\r\nname: dlazy-keling-tts\r\nversion: 1.3.5\r\ndescription: \"Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy keling-tts -h for help.\"}}\r\n---\r\n\r\n# 语音合成 可灵 Kling TTS\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n\r\nConvert text into high-quality, emotional speech reading using Kling TTS.\r\n\r\n## Trigger Keywords\r\n\r\n- kling tts\r\n- text to speech\r\n- generate speech\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nRun the `dlazy keling-tts` command to get results.\r\n\r\n```bash\r\ndlazy keling-tts -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\r\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\r\n  --speed [speed]                      Speed [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\r\n  --format [format]                    Format [default: mp3] (choices: \"mp3\", \"wav\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"keling-tts\",\r\n    \"modelId\": \"keling-tts\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Command Examples\r\n\r\n```bash\r\n# basic call:\r\ndlazy keling-tts --prompt 'prompt text'\r\n\r\n# complex call:\r\ndlazy keling-tts --prompt 'prompt text'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.8:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.3.8\",\n  \"publishedAt\": 1786957723840\n}\n\nFile v1.3.8:skill-card.md\n\n## Description:\n\nConvert text into high-quality, emotional speech reading using Kling TTS.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to invoke dLazy's Kling TTS wrapper for generating Chinese or English speech from text prompts with selectable voice, speed, format, and asynchronous execution options.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill requires running the external dLazy npm CLI.\n\nMitigation: Prefer the pinned on-demand npx invocation or review the CLI source before installing it globally.\n\nRisk: A dLazy API key is required and may be stored in local CLI configuration or supplied through the environment.\n\nMitigation: Do not paste real API keys into chat; use the CLI login or auth flow and rotate the key if it is exposed.\n\nRisk: Text prompts and selected generation parameters are sent to dLazy's hosted service.\n\nMitigation: Avoid submitting sensitive text unless the user accepts dLazy's hosted processing model.\n\nRisk: The artifact's output example shows an image result even though the skill is for text-to-speech.\n\nMitigation: Treat generated results as audio outputs and verify returned MIME types or URLs before downstream use.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-keling-tts)\n- [dLazy publisher profile](https://clawhub.ai/user/dlazyai)\n- [dLazy CLI homepage](https://github.com/dlazyai/cli)\n- [@dlazy/cli npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy website](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [shell commands, configuration, guidance, text]\n\n**Output Format:** [Markdown guidance with inline shell commands; CLI invocations return JSON result records for generated audio.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports mp3 or wav output, synchronous waiting or asynchronous task IDs, and hosted result URLs from dLazy.]\n\n## Skill Version(s):\n\n1.3.8 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.8:SKILL-cn.md\n\n---\r\nname: dlazy-keling-tts\r\nversion: 1.3.5\r\ndescription: \"使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy keling-tts -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 语音合成 可灵 Kling TTS\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n\r\n使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\r\n\r\n## 触发关键词\r\n\r\n- 可灵 tts\r\n- 文本转语音\r\n- 生成语音\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy keling-tts` 命令获取结果。\r\n\r\n```bash\r\ndlazy keling-tts -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --voice_language [voice_language]    语音语言 [default: zh] (choices: \"zh\", \"en\")\r\n  --voiceId [voiceId]                  音色ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\r\n  --speed [speed]                      语速 [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\r\n  --format [format]                    格式 [default: mp3] (choices: \"mp3\", \"wav\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"keling-tts\",\r\n    \"modelId\": \"keling-tts\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\n# 基础调用：\r\ndlazy keling-tts --prompt '提示词内容'\r\n\r\n# 复杂调用：\r\ndlazy keling-tts --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.7: 4 files, 10232 bytes\n\nFiles: skill-card.md (2093b), SKILL-cn.md (10804b), SKILL.md (10868b), _meta.json (135b)\n\nFile v1.3.7:SKILL.md\n\n---\nname: dlazy-keling-tts\nversion: 1.3.5\ndescription: \"Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy keling-tts -h for help.\"}}\n---\n\n# 语音合成 可灵 Kling TTS\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\nConvert text into high-quality, emotional speech reading using Kling TTS.\n\n## Trigger Keywords\n\n- kling tts\n- text to speech\n- generate speech\n\n## Authentication\n\nAll requests require a dLazy API key. The recommended way to authenticate is:\n\n```bash\ndlazy login\n```\n\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\n\n### Alternative: Set the Key Manually\n\nIf you already have an API key, you can save it directly:\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\n\n### Getting Your API Key Manually\n\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. Copy the key shown in the API Key section\n\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\n\n## About & Provenance\n\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **Maintainer**: dlazyai\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\n- **Homepage**: [dlazy.com](https://dlazy.com)\n\nYou can install on demand without persisting a global binary by running:\n\n```bash\nnpx @dlazy/cli@1.2.3 <command>\n```\n\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\n\n## How It Works\n\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\n\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\n\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\n\n## Usage\n\n**CRITICAL INSTRUCTION FOR AGENT**:\nRun the `dlazy keling-tts` command to get results.\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    Prompt\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      Speed [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    Format [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## Output Format\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## Command Examples\n\n```bash\n# basic call:\ndlazy keling-tts --prompt 'prompt text'\n\n# complex call:\ndlazy keling-tts --prompt 'prompt text'\n```\n\n## Error Handling\n\n| Code | Error Type                         | Example Message                                                                                                          |\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\n\n> **AGENT CRITICAL INSTRUCTION**: \n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nFile v1.3.7:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.3.7\",\n  \"publishedAt\": 1786340997994\n}\n\nFile v1.3.7:skill-card.md\n\n## Description:\n\nConverts text into high-quality, expressive speech using Kling TTS through the dLazy CLI and hosted API.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to have an agent invoke the dLazy CLI for Kling text-to-speech generation, including authentication setup and voice, speed, format, and async options.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: User-provided text is sent to dLazy's hosted API for speech generation.\n\nMitigation: Avoid sending sensitive text unless dLazy processing is acceptable for the intended use case.\n\nRisk: `dlazy login` stores an API key in the user's local CLI configuration.\n\nMitigation: Use organization key rotation or revocation when needed, and remove local credentials when the skill is no longer in use.\n\nRisk: A global CLI install persists the pinned dLazy package on the system.\n\nMitigation: Use the documented `npx @dlazy/cli@1.2.3` alternative when a non-persistent invocation is preferred.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/dlazyai/skills/dlazy-keling-tts)\n- [dLazy CLI Source](https://github.com/dlazyai/cli)\n- [dLazy CLI npm Package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy Homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Configuration, Guidance]\n\n**Output Format:** [Markdown guidance with inline bash commands and JSON result examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Invokes a cloud TTS API through the pinned @dlazy/cli package and may return hosted result URLs or async task status.]\n\n## Skill Version(s):\n\n1.3.7 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.7:SKILL-cn.md\n\n---\nname: dlazy-keling-tts\nversion: 1.3.5\ndescription: \"使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy keling-tts -h 查看帮助信息。\"}}\n---\n\n# 语音合成 可灵 Kling TTS\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\n使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\n\n## 触发关键词\n\n- 可灵 tts\n- 文本转语音\n- 生成语音\n\n## 身份验证 (Authentication)\n\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\n\n```bash\ndlazy login\n```\n\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\n\n### 备选：手动设置 API Key\n\n如果你已有 API key，也可以直接保存：\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\n\n### 手动获取 API Key\n\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. 复制 API Key 区域显示的密钥\n\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\n\n## 关于与来源 (Provenance)\n\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **维护者**: dlazyai\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\n- **官网**: [dlazy.com](https://dlazy.com)\n\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\n\n```bash\nnpx @dlazy/cli@1.2.3 <command>\n```\n\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\n\n## 工作原理\n\n此技能是 dLazy 托管 API 的轻量封装。调用时：\n\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\n\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\n\n## 使用方法\n\n**CRITICAL INSTRUCTION FOR AGENT**:\n执行 `dlazy keling-tts` 命令获取结果。\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    提示词\n  --voice_language [voice_language]    语音语言 [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  音色ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      语速 [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    格式 [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## 输出格式\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## 命令示例\n\n```bash\n# 基础调用：\ndlazy keling-tts --prompt '提示词内容'\n\n# 复杂调用：\ndlazy keling-tts --prompt '提示词内容'\n```\n\n## 错误处理\n\n| Code | 错误类型                         | 示例信息                                                                                                                 |\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\n\n> **智能体关键指令**: \n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nArchive v1.3.6: 4 files, 10332 bytes\n\nFiles: skill-card.md (2448b), SKILL-cn.md (10791b), SKILL.md (10855b), _meta.json (135b)\n\nFile v1.3.6:SKILL.md\n\n---\nname: dlazy-keling-tts\nversion: 1.3.5\ndescription: \"Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy keling-tts -h for help.\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\nConvert text into high-quality, emotional speech reading using Kling TTS.\n\n## Trigger Keywords\n\n- kling tts\n- text to speech\n- generate speech\n\n## Authentication\n\nAll requests require a dLazy API key. The recommended way to authenticate is:\n\n```bash\ndlazy login\n```\n\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\n\n### Alternative: Set the Key Manually\n\nIf you already have an API key, you can save it directly:\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\n\n### Getting Your API Key Manually\n\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. Copy the key shown in the API Key section\n\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\n\n## About & Provenance\n\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **Maintainer**: dlazyai\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\n- **Homepage**: [dlazy.com](https://dlazy.com)\n\nYou can install on demand without persisting a global binary by running:\n\n```bash\nnpx @dlazy/cli@1.2.3 <command>\n```\n\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\n\n## How It Works\n\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\n\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\n\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\n\n## Usage\n\n**CRITICAL INSTRUCTION FOR AGENT**:\nRun the `dlazy keling-tts` command to get results.\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    Prompt\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      Speed [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    Format [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## Output Format\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## Command Examples\n\n```bash\n# basic call:\ndlazy keling-tts --prompt 'prompt text'\n\n# complex call:\ndlazy keling-tts --prompt 'prompt text'\n```\n\n## Error Handling\n\n| Code | Error Type                         | Example Message                                                                                                          |\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\n\n> **AGENT CRITICAL INSTRUCTION**: \n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nFile v1.3.6:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.3.6\",\n  \"publishedAt\": 1786334667051\n}\n\nFile v1.3.6:skill-card.md\n\n## Description:\n\nConverts text into high-quality, expressive speech with Kling TTS.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and agent users use this skill to generate Chinese or English speech from text prompts through the dLazy CLI and Kling TTS options.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: TTS prompts and selected parameters are sent to dLazy's hosted API.\n\nMitigation: Do not submit sensitive, regulated, or confidential text unless the deployment owner has approved dLazy's service for that data.\n\nRisk: The skill requires a dLazy API key that may be stored in local CLI configuration or supplied through an environment variable.\n\nMitigation: Protect the local config and environment, rotate or revoke keys when needed, and avoid sharing logs or shells that expose credentials.\n\nRisk: Using the npm or npx CLI path introduces package supply-chain exposure.\n\nMitigation: Use the pinned @dlazy/cli@1.2.3 package path from the artifact and review the package or source before deployment.\n\nRisk: The artifact's example output describes an image/png result even though the skill is for text-to-speech.\n\nMitigation: Treat that example as a documentation issue and verify returned media type and format before passing outputs to downstream workflows.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/dlazyai/skills/dlazy-keling-tts)\n- [dLazy CLI Source](https://github.com/dlazyai/cli)\n- [dLazy CLI npm Package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy Homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, JSON, Files]\n\n**Output Format:** [CLI command output as JSON with generated media URLs; async mode may return a task identifier.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires a dLazy API key. Prompts and selected parameters are sent to dLazy's hosted API, and generated outputs are hosted on files.dlazy.com.]\n\n## Skill Version(s):\n\n1.3.6 (source: server release evidence; artifact frontmatter says 1.3.5)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.6:SKILL-cn.md\n\n---\nname: dlazy-keling-tts\nversion: 1.3.5\ndescription: \"使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy keling-tts -h 查看帮助信息。\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\n使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\n\n## 触发关键词\n\n- 可灵 tts\n- 文本转语音\n- 生成语音\n\n## 身份验证 (Authentication)\n\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\n\n```bash\ndlazy login\n```\n\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\n\n### 备选：手动设置 API Key\n\n如果你已有 API key，也可以直接保存：\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\n\n### 手动获取 API Key\n\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. 复制 API Key 区域显示的密钥\n\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\n\n## 关于与来源 (Provenance)\n\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **维护者**: dlazyai\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\n- **官网**: [dlazy.com](https://dlazy.com)\n\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\n\n```bash\nnpx @dlazy/cli@1.2.3 <command>\n```\n\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\n\n## 工作原理\n\n此技能是 dLazy 托管 API 的轻量封装。调用时：\n\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\n\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\n\n## 使用方法\n\n**CRITICAL INSTRUCTION FOR AGENT**:\n执行 `dlazy keling-tts` 命令获取结果。\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    提示词\n  --voice_language [voice_language]    语音语言 [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  音色ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      语速 [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    格式 [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## 输出格式\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## 命令示例\n\n```bash\n# 基础调用：\ndlazy keling-tts --prompt '提示词内容'\n\n# 复杂调用：\ndlazy keling-tts --prompt '提示词内容'\n```\n\n## 错误处理\n\n| Code | 错误类型                         | 示例信息                                                                                                                 |\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\n\n> **智能体关键指令**: \n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nArchive v1.3.5: 4 files, 10180 bytes\n\nFiles: skill-card.md (2122b), SKILL-cn.md (10789b), SKILL.md (10853b), _meta.json (135b)\n\nFile v1.3.5:SKILL.md\n\n---\nname: dlazy-keling-tts\nversion: 1.3.5\ndescription: Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy keling-tts -h for help.\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\nConvert text into high-quality, emotional speech reading using Kling TTS.\n\n## Trigger Keywords\n\n- kling tts\n- text to speech\n- generate speech\n\n## Authentication\n\nAll requests require a dLazy API key. The recommended way to authenticate is:\n\n```bash\ndlazy login\n```\n\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\n\n### Alternative: Set the Key Manually\n\nIf you already have an API key, you can save it directly:\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\n\n### Getting Your API Key Manually\n\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. Copy the key shown in the API Key section\n\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\n\n## About & Provenance\n\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **Maintainer**: dlazyai\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\n- **Homepage**: [dlazy.com](https://dlazy.com)\n\nYou can install on demand without persisting a global binary by running:\n\n```bash\nnpx @dlazy/cli@1.2.3 <command>\n```\n\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\n\n## How It Works\n\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\n\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\n\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\n\n## Usage\n\n**CRITICAL INSTRUCTION FOR AGENT**:\nRun the `dlazy keling-tts` command to get results.\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    Prompt\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      Speed [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    Format [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## Output Format\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## Command Examples\n\n```bash\n# basic call:\ndlazy keling-tts --prompt 'prompt text'\n\n# complex call:\ndlazy keling-tts --prompt 'prompt text'\n```\n\n## Error Handling\n\n| Code | Error Type                         | Example Message                                                                                                          |\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\n\n> **AGENT CRITICAL INSTRUCTION**: \n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nFile v1.3.5:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.3.5\",\n  \"publishedAt\": 1784600547340\n}\n\nFile v1.3.5:skill-card.md\n\n## Description: <br>\nConvert text into high-quality, emotional speech reading using Kling TTS. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[dlazyai](https://clawhub.ai/user/dlazyai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and agent users use this skill to turn supplied text into generated speech through the dLazy Kling TTS command-line workflow. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: TTS prompt text is sent to dLazy for processing. <br>\nMitigation: Use the skill only for text that is appropriate to send to the dLazy service. <br>\nRisk: The installed CLI may store a reusable dLazy API key in local configuration with weaker file permissions than the skill claims. <br>\nMitigation: Prefer DLAZY_API_KEY for individual invocations, or manually restrict ~/.dlazy/config.json permissions after login. <br>\nRisk: The skill installs or runs the pinned third-party dLazy CLI. <br>\nMitigation: Review the pinned @dlazy/cli@1.2.3 package before global installation. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-keling-tts) <br>\n- [dLazy CLI repository](https://github.com/dlazyai/cli) <br>\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Shell commands, Configuration instructions, JSON, Files] <br>\n**Output Format:** [JSON responses with generated speech output URLs and optional shell command guidance] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Generated output is hosted by dLazy and may return an asynchronous task identifier when no-wait mode is used.] <br>\n\n## Skill Version(s): <br>\n1.3.5 (source: frontmatter and server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.3.5:SKILL-cn.md\n\n---\nname: dlazy-keling-tts\nversion: 1.3.5\ndescription: 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy keling-tts -h 查看帮助信息。\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\n使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\n\n## 触发关键词\n\n- 可灵 tts\n- 文本转语音\n- 生成语音\n\n## 身份验证 (Authentication)\n\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\n\n```bash\ndlazy login\n```\n\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\n\n### 备选：手动设置 API Key\n\n如果你已有 API key，也可以直接保存：\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\n\n### 手动获取 API Key\n\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. 复制 API Key 区域显示的密钥\n\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\n\n## 关于与来源 (Provenance)\n\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **维护者**: dlazyai\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\n- **官网**: [dlazy.com](https://dlazy.com)\n\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\n\n```bash\nnpx @dlazy/cli@1.2.3 <command>\n```\n\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\n\n## 工作原理\n\n此技能是 dLazy 托管 API 的轻量封装。调用时：\n\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\n\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\n\n## 使用方法\n\n**CRITICAL INSTRUCTION FOR AGENT**:\n执行 `dlazy keling-tts` 命令获取结果。\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    提示词\n  --voice_language [voice_language]    语音语言 [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  音色ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      语速 [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    格式 [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## 输出格式\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## 命令示例\n\n```bash\n# 基础调用：\ndlazy keling-tts --prompt '提示词内容'\n\n# 复杂调用：\ndlazy keling-tts --prompt '提示词内容'\n```\n\n## 错误处理\n\n| Code | 错误类型                         | 示例信息                                                                                                                 |\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\n\n> **智能体关键指令**: \n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nArchive v1.3.4: 4 files, 10330 bytes\n\nFiles: skill-card.md (2487b), SKILL-cn.md (10789b), SKILL.md (10853b), _meta.json (135b)\n\nFile v1.3.4:SKILL.md\n\n---\nname: dlazy-keling-tts\nversion: 1.2.2\ndescription: Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.2\",\"installAlternative\":\"npx @dlazy/cli@1.2.2\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy keling-tts -h for help.\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\nConvert text into high-quality, emotional speech reading using Kling TTS.\n\n## Trigger Keywords\n\n- kling tts\n- text to speech\n- generate speech\n\n## Authentication\n\nAll requests require a dLazy API key. The recommended way to authenticate is:\n\n```bash\ndlazy login\n```\n\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\n\n### Alternative: Set the Key Manually\n\nIf you already have an API key, you can save it directly:\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\n\n### Getting Your API Key Manually\n\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. Copy the key shown in the API Key section\n\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\n\n## About & Provenance\n\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **Maintainer**: dlazyai\n- **npm package**: `@dlazy/cli` (pinned to `1.2.2` in this skill's install spec)\n- **Homepage**: [dlazy.com](https://dlazy.com)\n\nYou can install on demand without persisting a global binary by running:\n\n```bash\nnpx @dlazy/cli@1.2.2 <command>\n```\n\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.2`). Review the GitHub source before installing.\n\n## How It Works\n\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\n\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\n\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\n\n## Usage\n\n**CRITICAL INSTRUCTION FOR AGENT**:\nRun the `dlazy keling-tts` command to get results.\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    Prompt\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      Speed [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    Format [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## Output Format\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## Command Examples\n\n```bash\n# basic call:\ndlazy keling-tts --prompt 'prompt text'\n\n# complex call:\ndlazy keling-tts --prompt 'prompt text'\n```\n\n## Error Handling\n\n| Code | Error Type                         | Example Message                                                                                                          |\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\n\n> **AGENT CRITICAL INSTRUCTION**: \n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nFile v1.3.4:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.3.4\",\n  \"publishedAt\": 1784284877732\n}\n\nFile v1.3.4:skill-card.md\n\n## Description: <br>\nConverts text into high-quality, expressive speech using Kling TTS through the dLazy CLI. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[dlazyai](https://clawhub.ai/user/dlazyai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users and developers use this skill to generate Chinese or English speech from text through dLazy's hosted Kling TTS service. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Prompts, selected parameters, and any referenced local media files are sent to dLazy-hosted API and storage endpoints. <br>\nMitigation: Review dLazy account terms and avoid sending confidential or unauthorized content unless the user's organization has approved that service use. <br>\nRisk: The artifact's documented output example appears to describe image output even though the TTS command should produce audio. <br>\nMitigation: Treat the example schema as unreliable and verify returned mp3 or wav outputs from the actual CLI response. <br>\nRisk: The skill requires a dLazy API key stored in local CLI configuration or supplied through an environment variable. <br>\nMitigation: Use scoped credentials, rotate or revoke keys when needed, and avoid exposing the API key in prompts, logs, or shared command output. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-keling-tts) <br>\n- [dLazy CLI source](https://github.com/dlazyai/cli) <br>\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli) <br>\n- [dLazy homepage](https://dlazy.com) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Shell commands, JSON, Audio file URLs] <br>\n**Output Format:** [JSON response containing task status and generated mp3 or wav output URLs] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Supports prompt, language, voice, speed, format, dry-run, async, and timeout options; the documented example output schema should be treated as uncertain because security evidence flags it as likely using the wrong media type.] <br>\n\n## Skill Version(s): <br>\n1.3.4 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.3.4:SKILL-cn.md\n\n---\nname: dlazy-keling-tts\nversion: 1.2.2\ndescription: 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.2\",\"installAlternative\":\"npx @dlazy/cli@1.2.2\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy keling-tts -h 查看帮助信息。\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\n使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\n\n## 触发关键词\n\n- 可灵 tts\n- 文本转语音\n- 生成语音\n\n## 身份验证 (Authentication)\n\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\n\n```bash\ndlazy login\n```\n\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\n\n### 备选：手动设置 API Key\n\n如果你已有 API key，也可以直接保存：\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\n\n### 手动获取 API Key\n\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. 复制 API Key 区域显示的密钥\n\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\n\n## 关于与来源 (Provenance)\n\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **维护者**: dlazyai\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.2` 版本）\n- **官网**: [dlazy.com](https://dlazy.com)\n\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\n\n```bash\nnpx @dlazy/cli@1.2.2 <command>\n```\n\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.2`。安装前建议先到 GitHub 仓库审阅源码。\n\n## 工作原理\n\n此技能是 dLazy 托管 API 的轻量封装。调用时：\n\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\n\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\n\n## 使用方法\n\n**CRITICAL INSTRUCTION FOR AGENT**:\n执行 `dlazy keling-tts` 命令获取结果。\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    提示词\n  --voice_language [voice_language]    语音语言 [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  音色ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      语速 [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    格式 [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## 输出格式\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## 命令示例\n\n```bash\n# 基础调用：\ndlazy keling-tts --prompt '提示词内容'\n\n# 复杂调用：\ndlazy keling-tts --prompt '提示词内容'\n```\n\n## 错误处理\n\n| Code | 错误类型                         | 示例信息                                                                                                                 |\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\n\n> **智能体关键指令**: \n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nArchive v1.2.2: 4 files, 10269 bytes\n\nFiles: skill-card.md (2385b), SKILL-cn.md (10789b), SKILL.md (10853b), _meta.json (135b)\n\nFile v1.2.2:SKILL.md\n\n---\nname: dlazy-keling-tts\nversion: 1.2.2\ndescription: Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.2\",\"installAlternative\":\"npx @dlazy/cli@1.2.2\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy keling-tts -h for help.\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\nConvert text into high-quality, emotional speech reading using Kling TTS.\n\n## Trigger Keywords\n\n- kling tts\n- text to speech\n- generate speech\n\n## Authentication\n\nAll requests require a dLazy API key. The recommended way to authenticate is:\n\n```bash\ndlazy login\n```\n\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\n\n### Alternative: Set the Key Manually\n\nIf you already have an API key, you can save it directly:\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\n\n### Getting Your API Key Manually\n\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. Copy the key shown in the API Key section\n\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\n\n## About & Provenance\n\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **Maintainer**: dlazyai\n- **npm package**: `@dlazy/cli` (pinned to `1.2.2` in this skill's install spec)\n- **Homepage**: [dlazy.com](https://dlazy.com)\n\nYou can install on demand without persisting a global binary by running:\n\n```bash\nnpx @dlazy/cli@1.2.2 <command>\n```\n\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.2`). Review the GitHub source before installing.\n\n## How It Works\n\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\n\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\n\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\n\n## Usage\n\n**CRITICAL INSTRUCTION FOR AGENT**:\nRun the `dlazy keling-tts` command to get results.\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    Prompt\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      Speed [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    Format [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## Output Format\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## Command Examples\n\n```bash\n# basic call:\ndlazy keling-tts --prompt 'prompt text'\n\n# complex call:\ndlazy keling-tts --prompt 'prompt text'\n```\n\n## Error Handling\n\n| Code | Error Type                         | Example Message                                                                                                          |\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\n\n> **AGENT CRITICAL INSTRUCTION**: \n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nFile v1.2.2:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.2.2\",\n  \"publishedAt\": 1784278026608\n}\n\nFile v1.2.2:skill-card.md\n\n## Description: <br>\nConverts text into high-quality, expressive speech using Kling TTS. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[dlazyai](https://clawhub.ai/user/dlazyai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and external users use this skill to generate spoken audio from supplied text by invoking the dLazy CLI against the hosted Kling TTS API. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Text and selected parameters are sent to dLazy's hosted API, and local media paths may be uploaded to dLazy media storage. <br>\nMitigation: Use the skill only when the user is comfortable sending the supplied content to dLazy's hosted service, and request explicit confirmation before processing sensitive content. <br>\nRisk: API keys may be stored in the local dLazy CLI config. <br>\nMitigation: Prefer per-invocation DLAZY_API_KEY for sensitive environments, or verify permissions on ~/.dlazy/config.json when saving credentials locally. <br>\nRisk: The documented output and --format behavior are flagged as unreliable by the security evidence. <br>\nMitigation: Validate returned JSON, output URLs, MIME types, and requested audio format before using generated results in downstream workflows. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-keling-tts) <br>\n- [dLazy CLI project page](https://github.com/dlazyai/cli) <br>\n- [@dlazy/cli npm package](https://www.npmjs.com/package/@dlazy/cli) <br>\n- [dLazy homepage](https://dlazy.com) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Shell commands, JSON, Guidance] <br>\n**Output Format:** [Markdown instructions with bash commands and JSON API responses] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May return hosted output URLs or asynchronous task identifiers; documented output and --format behavior should be verified before relying on them.] <br>\n\n## Skill Version(s): <br>\n1.2.2 (source: frontmatter and server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.2.2:SKILL-cn.md\n\n---\nname: dlazy-keling-tts\nversion: 1.2.2\ndescription: 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.2\",\"installAlternative\":\"npx @dlazy/cli@1.2.2\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy keling-tts -h 查看帮助信息。\"}}\n---\n\n# dlazy-keling-tts\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\n\n\n使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\n\n## 触发关键词\n\n- 可灵 tts\n- 文本转语音\n- 生成语音\n\n## 身份验证 (Authentication)\n\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\n\n```bash\ndlazy login\n```\n\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\n\n### 备选：手动设置 API Key\n\n如果你已有 API key，也可以直接保存：\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\n\n### 手动获取 API Key\n\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. 复制 API Key 区域显示的密钥\n\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\n\n## 关于与来源 (Provenance)\n\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **维护者**: dlazyai\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.2` 版本）\n- **官网**: [dlazy.com](https://dlazy.com)\n\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\n\n```bash\nnpx @dlazy/cli@1.2.2 <command>\n```\n\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.2`。安装前建议先到 GitHub 仓库审阅源码。\n\n## 工作原理\n\n此技能是 dLazy 托管 API 的轻量封装。调用时：\n\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\n\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\n\n## 使用方法\n\n**CRITICAL INSTRUCTION FOR AGENT**:\n执行 `dlazy keling-tts` 命令获取结果。\n\n```bash\ndlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    提示词\n  --voice_language [voice_language]    语音语言 [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  音色ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\n  --speed [speed]                      语速 [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\n  --format [format]                    格式 [default: mp3] (choices: \"mp3\", \"wav\")\n  --dry-run                            Print payload + cost estimate without calling API\n  --no-wait                            Return generateId immediately for async tasks\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\n  -h, --help                           display help for command\n```\n\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\n\n## 输出格式\n\n```json\n{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\n\n## 命令示例\n\n```bash\n# 基础调用：\ndlazy keling-tts --prompt '提示词内容'\n\n# 复杂调用：\ndlazy keling-tts --prompt '提示词内容'\n```\n\n## 错误处理\n\n| Code | 错误类型                         | 示例信息                                                                                                                 |\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\n\n> **智能体关键指令**: \n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nArchive v1.3.3: 4 files, 10433 bytes\n\nFiles: skill-card.md (2463b), SKILL-cn.md (10906b), SKILL.md (11231b), _meta.json (135b)\n\nFile v1.3.3:SKILL.md\n\n---\r\nname: dlazy-keling-tts\r\nversion: 1.2.1\r\ndescription: Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\r\nmetadata:\r\n  {\r\n    'clawdbot':\r\n      {\r\n        'emoji': '🤖',\r\n        'requires': { 'bins': ['npm', 'npx'] },\r\n        'install': 'npm install -g @dlazy/cli@1.2.0',\r\n        'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n        'homepage': 'https://github.com/dlazyai/cli',\r\n        'source': 'https://github.com/dlazyai/cli',\r\n        'author': 'dlazyai',\r\n        'license': 'see-repo',\r\n        'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n        'configLocation': '~/.dlazy/config.json',\r\n        'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n      },\r\n    'openclaw': { 'systemPrompt': 'When invoking this skill, use dlazy keling-tts -h for help.' },\r\n  }\r\n---\r\n\r\n# dlazy-keling-tts\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nConvert text into high-quality, emotional speech reading using Kling TTS.\r\n\r\n## Trigger Keywords\r\n\r\n- kling tts\r\n- text to speech\r\n- generate speech\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.0`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nRun the `dlazy keling-tts` command to get results.\r\n\r\n```bash\r\ndlazy keling-tts -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\r\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]\r\n  --speed [speed]                      Speed [default: 1.0] (choices: \"0.8\", \"1.0\", \"1.5\")\r\n  --format [format]                    Format [default: mp3] (choices: \"mp3\", \"wav\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"keling-tts\",\r\n    \"modelId\": \"keling-tts\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Command Examples\r\n\r\n```bash\r\n# basic call:\r\ndlazy keling-tts --prompt 'prompt text'\r\n\r\n# complex call:\r\ndlazy keling-tts --prompt 'prompt text'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"`                                                                                |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**:\r\n>\r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.3:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.3.3\",\n  \"publishedAt\": 1783562158811\n}\n\nFile v1.3.3:skill-card.md\n\n## Description: <br>\nConverts text into high-quality, emotionally expressive speech using Kling TTS. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[dlazyai](https://clawhub.ai/user/dlazyai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users and developers use this skill to run dLazy CLI commands that send text to the hosted Kling TTS service and retrieve generated speech output. <br>\n\n### Deployment Geography\n\nArchive v1.3.2: 4 files, 10426 bytes\n\nFiles: skill-card.md (2487b), SKILL-cn.md (10906b), SKILL.md (11231b), _meta.json (135b)\n\nArchive v1.3.1: 4 files, 10401 bytes\n\nFiles: skill-card.md (2337b), SKILL-cn.md (10906b), SKILL.md (11231b), _meta.json (135b)\n\nArchive v1.3.0: 4 files, 10326 bytes\n\nFiles: skill-card.md (2164b), SKILL-cn.md (10906b), SKILL.md (11231b), _meta.json (135b)","readmeExcerpt":"Skill: 语音合成 可灵 Kling TTS Owner: dlazyai Summary: Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。 Tags: latest:1.3.8 Version history: v1.3.8 | 2026-08-17T09:08:43.840Z | user Restore Chinese display name v1.3.7 | 2026-08-10T05:49:57.994Z | user Restore Chinese display name v1.3.6 | 2026-08-10T04:04:27.051Z | user Restore Chinese display name v1.3.5 | 2","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"dlazy login"},{"language":"bash","snippet":"dlazy auth set YOUR_API_KEY"},{"language":"bash","snippet":"npx @dlazy/cli@1.2.3 <command>"},{"language":"bash","snippet":"dlazy keling-tts -h\n\nOptions:\n  --prompt [prompt]                    Prompt\n  --voice_language [voice_language]    Voice Language [default: zh] (choices: \"zh\", \"en\")\n  --voiceId [voiceId]                  Voice ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language=\"en\": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xu"},{"language":"json","snippet":"{\n  \"ok\": true,\n  \"result\": {\n    \"tool\": \"keling-tts\",\n    \"modelId\": \"keling-tts\",\n    \"outputs\": [\n      {\n        \"type\": \"image\",\n        \"id\": \"o_xxxxxxxx\",\n        \"url\": \"https://files.dlazy.com/result.png\",\n        \"mimeType\": \"image/png\"\n      }\n    ]\n  }\n}"},{"language":"bash","snippet":"# basic call:\ndlazy keling-tts --prompt 'prompt text'\n\n# complex call:\ndlazy keling-tts --prompt 'prompt text'"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: dlazy-keling-tts\r\nversion: 1.3.5\r\ndescription: \"Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy keling-tts -h for help.\"}}\r\n---\r\n\r\n# 语音合成 可灵 Kling TTS\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n\r\nConvert text into high-quality, emotional speech reading using Kling TTS.\r\n\r\n## Trigger Keywords\r\n\r\n- kling tts\r\n- text to speech\r\n- generate speech\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-b"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-keling-tts\",\n  \"version\": \"1.3.8\",\n  \"publishedAt\": 1786957723840\n}"},{"path":"skill-card.md","content":"## Description:\n\nConvert text into high-quality, emotional speech reading using Kling TTS.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to invoke dLazy's Kling TTS wrapper for generating Chinese or English speech from text prompts with selectable voice, speed, format, and asynchronous execution options.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill requires running the external dLazy npm CLI.\n\nMitigation: Prefer the pinned on-demand npx invocation or review the CLI source before installing it globally.\n\nRisk: A dLazy API key is required and may be stored in local CLI configuration or supplied through the environment.\n\nMitigation: Do not paste real API keys into chat; use the CLI login or auth flow and rotate the key if it is exposed.\n\nRisk: Text prompts and selected generation parameters are sent to dLazy's hosted service.\n\nMitigation: Avoid submitting sensitive text unless the user accepts dLazy's hosted processing model.\n\nRisk: The artifact's output example shows an image result even though the skill is for text-to-speech.\n\nMitigation: Treat generated results as audio outputs and verify returned MIME types or URLs before downstream use.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-keling-tts)\n- [dLazy publisher profile](https://clawhub.ai/user/dlazyai)\n- [dLazy CLI homepage](https://github.com/dlazyai/cli)\n- [@dlazy/cli npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy website](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [shell commands, configuration, guidance, text]\n\n**Output Format:** [Markdown guidance with inline shell commands; CLI invocations return JSON result records for generated audio.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports mp3 or wav output, synchronous waiting or asynchronous task IDs, and hosted result URLs from dLazy.]\n\n## Skill Version(s):\n\n1.3.8 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"SKILL-cn.md","content":"---\r\nname: dlazy-keling-tts\r\nversion: 1.3.5\r\ndescription: \"使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\"\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy keling-tts -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 语音合成 可灵 Kling TTS\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n\r\n使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。\r\n\r\n## 触发关键词\r\n\r\n- 可灵 tts\r\n- 文本转语音\r\n- 生成语音\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy keling-tts` 命令获取结果。\r\n\r\n```bash\r\ndlazy keling-tts -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --voice_language [voice_language]    语音语言 [default: zh] (choices: \"zh\", \"en\")\r\n  --voiceId [voiceId]                  音色ID Options depend on \"voice_language\". when voice_language=\"zh\": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":null,"editorialQuality":{"score":100,"threshold":65,"status":"thin","wordCount":1462,"uniquenessScore":42,"reasons":["uniqueness-below-45"]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T06:49:21.957Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T06:49:21.957Z","emptyReason":"This page has not been claimed by the agent 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