{"id":"8d4d0a4a-991c-42af-b2e0-91ae21c783db","entityType":"agent","slug":"clawhub-dlazyai-dlazy-imageseg","name":"图片抠图 Image Segmentation","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dlazyai-dlazy-imageseg","canonicalPath":"/agent/clawhub-dlazyai-dlazy-imageseg","generatedAt":"2026-10-10T02:45:02.543Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T05:06:29.452Z","emptyReason":null},"description":"Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。 Skill: 图片抠图 Image Segmentation Owner: dlazyai Summary: Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。 Tags: latest:1.3.26 Version history: v1.3.26 | 2026-10-08T01:15:52.913Z | user 例行版本更新 2026-10-08 v1.3.25 | 2026-10-04T01:14:45.109Z | user 例行版本更新 2","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 4.6K downloads reported by the source. Last updated 10/9/2026.","installCommand":"clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-imageseg","sourceUrl":"https://clawhub.ai/dlazyai/dlazy-imageseg","homepage":"https://clawhub.ai/dlazyai/skills/dlazy-imageseg","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/dlazyai/dlazy-imageseg","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/dlazyai/skills/dlazy-imageseg","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":73,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and co"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:06:29.452Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":1,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile"}},"adoption":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:06:29.452Z","emptyReason":null},"stars":null,"forks":null,"downloads":4597,"packageName":null,"latestVersion":"1.3.26","tractionLabel":"4.6K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:06:29.452Z","emptyReason":null},"lastUpdatedAt":"2026-10-09T05:06:29.452Z","lastCrawledAt":"2026-10-09T05:06:29.452Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-10T05:06:29.452Z","lastVerifiedAt":null,"highlights":[{"version":"1.3.26","createdAt":"2026-10-08T01:15:52.913Z","changelog":"例行版本更新 2026-10-08","fileCount":4,"zipByteSize":7920},{"version":"1.3.25","createdAt":"2026-10-04T01:14:45.109Z","changelog":"例行版本更新 2026-10-04","fileCount":4,"zipByteSize":7956},{"version":"1.3.24","createdAt":"2026-10-02T04:57:07.661Z","changelog":"例行版本更新 2026-10-02","fileCount":4,"zipByteSize":7937},{"version":"1.3.23","createdAt":"2026-09-30T01:13:38.350Z","changelog":"例行版本更新 2026-09-30","fileCount":4,"zipByteSize":7884},{"version":"1.3.22","createdAt":"2026-09-28T02:12:33.051Z","changelog":"例行版本更新 2026-09-28","fileCount":4,"zipByteSize":7927},{"version":"1.3.21","createdAt":"2026-09-28T01:14:49.711Z","changelog":"例行版本更新 2026-09-28","fileCount":4,"zipByteSize":7884},{"version":"1.3.20","createdAt":"2026-09-24T01:51:18.447Z","changelog":"例行版本更新 2026-09-24","fileCount":4,"zipByteSize":8270},{"version":"1.3.19","createdAt":"2026-09-22T01:12:11.340Z","changelog":"例行版本更新 2026-09-22","fileCount":4,"zipByteSize":8081}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-imageseg","setupComplexity":"low","setupSteps":["Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-imageseg/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-imageseg/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-imageseg/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-imageseg/snapshot\"","curl -s 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execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-10-09T05:06:29.452Z","emptyReason":null},"readme":"Skill: 图片抠图 Image Segmentation\n\nOwner: dlazyai\n\nSummary: Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\n\nTags: latest:1.3.26\n\nVersion history:\n\nv1.3.26 | 2026-10-08T01:15:52.913Z | user\n\n例行版本更新 2026-10-08\n\nv1.3.25 | 2026-10-04T01:14:45.109Z | user\n\n例行版本更新 2026-10-04\n\nv1.3.24 | 2026-10-02T04:57:07.661Z | user\n\n例行版本更新 2026-10-02\n\nv1.3.23 | 2026-09-30T01:13:38.350Z | user\n\n例行版本更新 2026-09-30\n\nv1.3.22 | 2026-09-28T02:12:33.051Z | user\n\n例行版本更新 2026-09-28\n\nv1.3.21 | 2026-09-28T01:14:49.711Z | user\n\n例行版本更新 2026-09-28\n\nv1.3.20 | 2026-09-24T01:51:18.447Z | user\n\n例行版本更新 2026-09-24\n\nv1.3.19 | 2026-09-22T01:12:11.340Z | user\n\n例行版本更新 2026-09-22\n\nv1.3.18 | 2026-09-20T01:17:50.973Z | user\n\n例行版本更新 2026-09-20\n\nv1.3.17 | 2026-09-18T01:39:46.226Z | user\n\n例行版本更新 2026-09-18\n\nv1.3.16 | 2026-09-14T01:14:29.927Z | user\n\n例行版本更新 2026-09-14\n\nv1.3.15 | 2026-09-10T01:11:42.195Z | user\n\n例行版本更新 2026-09-10\n\nv1.3.14 | 2026-09-08T01:12:33.885Z | user\n\n例行版本更新 2026-09-08\n\nv1.3.13 | 2026-09-07T01:16:14.267Z | user\n\n例行版本更新 2026-09-07\n\nv1.3.12 | 2026-09-04T01:18:02.969Z | user\n\n例行版本更新 2026-09-04\n\nv1.3.11 | 2026-09-02T01:12:28.268Z | user\n\n例行版本更新 2026-09-02\n\nv1.3.10 | 2026-08-31T02:53:04.581Z | user\n\n源码仓库迁移至 github.com/dlazy-ai/cli\n\nv1.3.9 | 2026-08-24T09:24:01.666Z | user\n\nRestore Chinese display name\n\nv1.3.8 | 2026-08-17T09:06:36.986Z | user\n\nRestore Chinese display name\n\nv1.3.7 | 2026-08-10T05:47:54.394Z | user\n\nRestore Chinese display name\n\nv1.3.6 | 2026-08-10T04:02:23.245Z | user\n\nRestore Chinese display name\n\nv1.3.5 | 2026-07-21T02:19:14.083Z | auto\n\ndlazy-imageseg 1.3.5\n\n- Updated CLI dependency version to @dlazy/cli@1.2.3 (was 1.2.2).\n- Adjusted all installation and usage instructions to use the updated CLI version.\n- Removed the redundant skill-card.md file to streamline documentation.\n\nv1.3.4 | 2026-07-17T10:39:05.615Z | auto\n\ndlazy-imageseg 1.3.4 Changelog\n\n- Updated CLI dependency and install instructions to use @dlazy/cli version 1.2.2.\n- Adjusted metadata to reflect new CLI version.\n- Removed the redundant skill-card.md file.\n- Minor documentation updates and internal version bump.\n\nv1.2.2 | 2026-07-17T08:45:11.775Z | auto\n\n- Removed the file: skill-card.md\n- No changes to functionality or documentation content.\n\nv1.3.3 | 2026-07-09T02:04:00.271Z | user\n\nset Chinese display name for CN search\n\nv1.3.2 | 2026-07-09T02:03:39.742Z | user\n\nset Chinese display name for CN search\n\nv1.3.1 | 2026-07-09T01:46:27.186Z | user\n\nset Chinese display name for CN search\n\nv1.3.0 | 2026-07-07T19:43:11.461Z | auto\n\n- Version bumped to 1.3.0.\n- Documentation and instructions updated in SKILL.md and SKILL-cn.md.\n- No functional or CLI changes; this update is documentation only.\n\nv1.2.1 | 2026-07-07T18:33:58.927Z | auto\n\n- Added Chinese description to improve internationalization and accessibility.\n- Updated documentation in SKILL.md and SKILL-cn.md.\n- Removed the legacy skill-card.md file.\n\nv1.2.0 | 2026-06-02T09:54:35.341Z | auto\n\n- Updated CLI dependency to @dlazy/cli version 1.2.0 for both install and npx instructions.\n- Removed the deprecated skill-card.md file.\n- Documentation and metadata updated to reflect the new package version.\n- No breaking changes to usage or error handling.\n\nv1.1.2 | 2026-06-02T01:38:08.657Z | user\n\nUpdate model skills (names/params refreshed); add search-audio/image/video\n\nv1.1.1 | 2026-05-06T14:05:37.805Z | auto\n\n- Bumped version to 1.1.1.\n- Documentation updated; no functional or interface changes.\n- No new features or bug fixes introduced.\n\nv1.1.0 | 2026-05-01T07:48:48.717Z | auto\n\n- Added support and documentation for logging in via device-code flow using dlazy login (no manual API key copy needed).\n- Updated authentication instructions to recommend dlazy login as the primary method.\n- Previous manual API key setup instructions moved under an \"Alternative\" section.\n\nv1.0.9 | 2026-04-30T10:19:04.121Z | user\n\nSync to CLI 1.0.9 with cliWarning support\n\nv1.0.6 | 2026-04-29T02:34:29.258Z | user\n\nbump @dlazy/cli to 1.0.8\n\nv1.0.5 | 2026-04-27T08:02:38.296Z | 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\nv1.0.4 | 2026-04-27T07:41:20.962Z | 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\nv1.0.3 | 2026-04-24T04:02:25.431Z | auto\n\n- Updated to version 1.0.3.\n- Minor phrasing adjustment in agent instructions to clarify API key handling.\n- No changes to command usage or overall functionality.\n- Documentation refreshed in SKILL.md, SKILL-en.md, and SKILL-cn.md.\n\nv1.0.2 | 2026-04-24T03:27:35.148Z | auto\n\n- Updated CLI installation instructions to require @dlazy/cli@1.0.6 (was 1.0.5).\n- Bumped skill version to 1.0.2.\n- Documentation updated in SKILL.md, SKILL-en.md, and SKILL-cn.md.\n\nv1.0.1 | 2026-04-24T03:22:18.068Z | auto\n\n- Added detailed authentication instructions, including how to obtain and set the API key.\n- Provided a dedicated \"Authentication\" section to clarify API key requirements.\n- No changes made to command options or core usage instructions.\n- Documentation updated in English and Chinese.\n\nv1.0.0 | 2026-04-21T05:50:50.474Z | auto\n\nInitial release of dlazy-imageseg.\n\n- Image matting tool for separating foreground from background with transparent background output.\n- Supports product image processing, character cutout, and image composition.\n- Provides command-line options for input images, JSON payloads, async tasks, and error handling.\n- Clear instructions for handling authorization and credit-related errors.\n- Output includes URLs to processed images with transparent backgrounds.\n\nArchive index:\n\nArchive v1.3.26: 4 files, 7920 bytes\n\nFiles: skill-card.md (1899b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.26:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.26:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.26\",\n \"publishedAt\": 1791422152913\n}\n\nFile v1.3.26:skill-card.md\n\n## Description:\n\nHelps agents separate subjects from image backgrounds and return a transparent-background image URL for product photos, portraits, and compositions.\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\nCreators and developers use this skill to cut out subjects from images for product listings, character assets, and compositing.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Images or local files supplied to the tool may be uploaded to dLazy, and generated images are hosted there.\n\nMitigation: Avoid submitting sensitive images unless dLazy hosting and processing are acceptable; review the pinned CLI package before use.\n\nRisk: Authentication may save an API key in local configuration.\n\nMitigation: Use a per-invocation DLAZY_API_KEY when local key persistence is not desired.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI repository (linked in skill metadata)](https://github.com/dlazy-ai/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, Guidance]\n\n**Output Format:** [Markdown instructions with shell examples; tool response contains JSON with an image URL]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Transparent PNG result URL; optional local download]\n\n## Skill Version(s):\n\n1.3.26 (source: ClawHub release metadata; artifact frontmatter lists 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 v1.3.26:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.25: 4 files, 7956 bytes\n\nFiles: skill-card.md (2018b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.25:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.25:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.25\",\n \"publishedAt\": 1791076485109\n}\n\nFile v1.3.25:skill-card.md\n\n## Description:\n\nSeparates an image's foreground from its background and returns a transparent-background image URL.\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\nCreators and developers use this skill to cut out product photos or people for image editing and compositions through the dLazy image segmentation service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Local images supplied to the CLI may be uploaded to dLazy's hosted service.\n\nMitigation: Only submit media approved for processing by the service.\n\nRisk: Authentication stores a dLazy API key locally.\n\nMitigation: Protect the local CLI configuration and rotate or revoke keys if compromised.\n\nRisk: The skill's example uses --prompt, but the documented image segmentation option is --image.\n\nMitigation: Use --image for image input and check the CLI help before running commands.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI repository (declared in skill metadata; not verified release provenance)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy service](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [JSON, Image URLs]\n\n**Output Format:** [JSON response with an image URL]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Returns a transparent-background image URL; optional save downloads the image, while asynchronous requests return a task ID for polling.]\n\n## Skill Version(s):\n\n1.3.25 (source: server-resolved ClawHub release; bundled skill 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 v1.3.25:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.24: 4 files, 7937 bytes\n\nFiles: skill-card.md (2016b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.24:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.24:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.24\",\n \"publishedAt\": 1790917027661\n}\n\nFile v1.3.24:skill-card.md\n\n## Description:\n\nSeparates image foregrounds from backgrounds and provides transparent-background image URLs for product photos, portraits, and compositions.\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\nCreators and developers use this skill to remove image backgrounds for product photos, portraits, and visual compositions through dLazy's hosted service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Submitted images may be uploaded to dLazy and result images hosted there.\n\nMitigation: Use only images approved for third-party cloud processing and review the service terms before upload.\n\nRisk: Using the third-party CLI requires an API key that login may store locally.\n\nMitigation: Review the pinned CLI before installation and protect or revoke the API key as needed.\n\nRisk: The documented example uses a prompt flag inconsistent with the image option shown in help.\n\nMitigation: Check `dlazy imageseg -h` and supply the image with `--image`.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI repository (linked in skill metadata)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance, URLs]\n\n**Output Format:** [Markdown with shell commands and a link to the resulting image]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Result images are hosted by dLazy; the CLI can also save them locally.]\n\n## Skill Version(s):\n\n1.3.24 (source: ClawHub release; supplied skill 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 v1.3.24:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.23: 4 files, 7884 bytes\n\nFiles: skill-card.md (1786b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.23:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.23:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.23\",\n \"publishedAt\": 1790730818350\n}\n\nFile v1.3.23:skill-card.md\n\n## Description:\n\nSeparates a subject from an image background and returns a URL for the transparent result.\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\nCreators and developers use this skill to remove image backgrounds for product photos, portraits, and composites.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Provided images may be uploaded to dLazy's hosted service.\n\nMitigation: Avoid submitting sensitive images without approving that transfer.\n\nRisk: CLI login may persist an API key in local configuration.\n\nMitigation: Use DLAZY_API_KEY for per-invocation credentials when persistent storage is unwanted.\n\nRisk: The example uses --prompt although the documented image option is --image.\n\nMitigation: Check dlazy imageseg -h and provide the input with --image.\n\n## Reference(s):\n\n- [dLazy CLI source (listed in skill metadata; not verified release provenance)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy service](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [JSON, Image URL]\n\n**Output Format:** [JSON response containing a hosted transparent-image URL]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests may return a task ID instead; --save can download the image.]\n\n## Skill Version(s):\n\n1.3.23 (source: ClawHub 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 v1.3.23:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.22: 4 files, 7927 bytes\n\nFiles: skill-card.md (1989b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.22:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.22:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.22\",\n \"publishedAt\": 1790561553051\n}\n\nFile v1.3.22:skill-card.md\n\n## Description:\n\nSeparates image foregrounds from backgrounds and returns a transparent-background image URL for product photos, portraits, and compositions.\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\nCreators and developers use this skill to remove backgrounds from product or portrait images and retrieve transparent image results for editing or composition.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Chosen local images are uploaded to dLazy's hosted service.\n\nMitigation: Only submit images you are authorized to share and review the service terms before use.\n\nRisk: Authentication stores a dLazy API key in local CLI configuration.\n\nMitigation: Protect the local configuration and rotate or revoke the key if it is exposed.\n\nRisk: Using the skill requires installing and running an external npm CLI.\n\nMitigation: Review the pinned CLI source and package before installation when supply-chain assurance is needed.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI source](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Shell commands]\n\n**Output Format:** [Markdown guidance; CLI result is JSON containing a hosted image URL]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The result can be saved locally; asynchronous requests return a task ID before the image is ready.]\n\n## Skill Version(s):\n\n1.3.22 (source: ClawHub release metadata; 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 v1.3.22:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.21: 4 files, 7884 bytes\n\nFiles: skill-card.md (1861b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.21:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.21:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.21\",\n \"publishedAt\": 1790558089711\n}\n\nFile v1.3.21:skill-card.md\n\n## Description:\n\nSeparates foreground subjects from images and provides a transparent-background image URL for product photos, portraits, and compositing.\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\nCreators, product teams, and developers use this skill to remove image backgrounds and obtain cutouts for product listings, portraits, and composites.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: User-provided images may be uploaded to dLazy, and generated results are hosted there.\n\nMitigation: Use only images whose cloud processing and hosting are acceptable; avoid sensitive images otherwise.\n\nRisk: Signing in or setting an API key stores credentials locally.\n\nMitigation: Protect the local key and revoke or rotate it if exposed.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI package (skill metadata)](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy CLI repository (skill metadata; not verified release provenance)](https://github.com/dlazy-ai/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Shell commands, Guidance]\n\n**Output Format:** [Markdown with an image URL; CLI results are JSON]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Returns a transparent-background image URL; can save the image locally or report an asynchronous task ID.]\n\n## Skill Version(s):\n\n1.3.21 (source: ClawHub release; bundled skill frontmatter states 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 v1.3.21:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.20: 4 files, 8270 bytes\n\nFiles: skill-card.md (2832b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.20:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.20:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.20\",\n \"publishedAt\": 1790214678447\n}\n\nFile v1.3.20:skill-card.md\n\n## Description:\n\nImage matting tool that separates foreground from background and returns a transparent-background image URL for product images, character cutouts, and composition workflows.\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, developers, and ecommerce teams use this skill through an agent to remove image backgrounds and obtain transparent PNG-style outputs for product processing, people cutouts, and image composition.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Input images or local media paths provided to the skill may be uploaded to dLazy's cloud service for processing.\n\nMitigation: Use the skill only with images approved for external cloud processing, and avoid submitting confidential or regulated media unless dLazy's service terms satisfy the deployment requirements.\n\nRisk: Generated output URLs are hosted by dLazy.\n\nMitigation: Treat returned URLs as externally hosted assets and download or store outputs according to the user's data handling policy.\n\nRisk: Authentication can store a dLazy API key in a local CLI configuration file.\n\nMitigation: Use the DLAZY_API_KEY environment variable for ephemeral credentials when local key persistence is not acceptable, and rotate or revoke keys from the dLazy dashboard when needed.\n\nRisk: The skill depends on a pinned third-party npm CLI package.\n\nMitigation: Review the pinned @dlazy/cli package and declared source before installation in environments with supply-chain review requirements.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI source declared in metadata](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package declared in metadata](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy homepage declared in metadata](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Configuration instructions, JSON, Files, Guidance]\n\n**Output Format:** [Markdown guidance with inline shell commands; the dLazy CLI returns JSON containing image output URLs and can save result files locally.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires a dLazy API key; local image paths may be uploaded to dLazy media storage, generated outputs are hosted by dLazy, and async runs can return a generateId for polling.]\n\n## Skill Version(s):\n\n1.3.20 (source: server release evidence; artifact frontmatter lists 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 v1.3.20:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.19: 4 files, 8081 bytes\n\nFiles: skill-card.md (2314b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.19:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.19:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.19\",\n \"publishedAt\": 1790039531340\n}\n\nFile v1.3.19:skill-card.md\n\n## Description:\n\nImage matting tool that separates foregrounds from backgrounds and returns transparent-background image URLs for product imagery, character cutouts, and composition.\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 external users use this skill to invoke dLazy image segmentation from an agent, submitting an image URL or local image file and receiving a transparent-background image URL or saved asset.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Image inputs, including local files, may be uploaded to dLazy services for processing.\n\nMitigation: Only pass images you are comfortable uploading to dLazy, and review the service terms before use.\n\nRisk: Using `dlazy login` or `dlazy auth set` can persist an API key in the local dLazy CLI configuration.\n\nMitigation: Use the `DLAZY_API_KEY` environment variable for per-run authentication when persistent local configuration is not desired.\n\nRisk: The skill depends on a third-party npm CLI and hosted API.\n\nMitigation: Review the dLazy CLI source and package before installing, or use `npx @dlazy/cli@1.2.3` to avoid a global install.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI source](https://github.com/dlazy-ai/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, JSON, Files]\n\n**Output Format:** [Markdown guidance with inline shell commands and JSON examples; runtime CLI output is JSON containing image result URLs.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires npm or npx and a dLazy API key; local image inputs may be uploaded to dLazy-hosted endpoints, and --save can download a returned PNG asset.]\n\n## Skill Version(s):\n\n1.3.19 (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 v1.3.19:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.18: 4 files, 8089 bytes\n\nFiles: skill-card.md (2268b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.18:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.18:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.18\",\n \"publishedAt\": 1789867070973\n}\n\nFile v1.3.18:skill-card.md\n\n## Description:\n\nImage matting tool that separates foreground from background and returns a transparent-background image URL for product image processing, character cutouts, and composition.\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 content-production teams use this skill to run dLazy image segmentation from an agent, separating a foreground subject from its background and returning a transparent PNG URL or saved file.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Images or local file paths passed to the CLI may be uploaded to dLazy hosted API and file storage.\n\nMitigation: Use only inputs approved for dLazy cloud processing and avoid passing sensitive images or paths unless the user accepts that handling.\n\nRisk: Authentication can store a dLazy API key in the local CLI configuration.\n\nMitigation: Prefer scoped keys, use DLAZY_API_KEY for one-off invocations when appropriate, and rotate or revoke keys from the dLazy dashboard if access changes.\n\nRisk: The --save option writes generated assets to a local path.\n\nMitigation: Choose an explicit destination path and avoid overwriting important files.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI source](https://github.com/dlazy-ai/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, Guidance]\n\n**Output Format:** [Markdown guidance with CLI commands; runtime output is JSON containing image URLs.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May return asynchronous task metadata when --no-wait is used; --save writes the result asset to a selected local path.]\n\n## Skill Version(s):\n\n1.3.18 (source: release evidence; artifact frontmatter: 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 v1.3.18:SKILL-cn.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy imageseg --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 ' 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 ` 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 v1.3.17: 4 files, 8069 bytes\n\nFiles: skill-card.md (2334b), SKILL-cn.md (6845b), SKILL.md (7067b), _meta.json (134b)\n\nFile v1.3.17:SKILL.md\n\n---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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\nExecute `dlazy imageseg` to get the result.\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] Image (URL) [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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\": \"imageseg\",\r\n \"modelId\": \"imageseg\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy imageseg --prompt 'prompt content'\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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.17:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.17\",\n \"publishedAt\": 1789695586226\n}\n\nFile v1.3.17:skill-card.md\n\n## Description:\n\nImage matting skill that separates foreground from background and returns a transparent-background image URL for product images, character cutouts, and compositing.\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 call dLazy image segmentation for foreground/background separation and receive transparent-background image URLs for product imagery, cutouts, and compositing.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: User-provided media paths may be uploaded to dLazy's hosted service, and generated outputs are hosted by dLazy.\n\nMitigation: Use the skill only with media that is appropriate to send to dLazy's cloud service; review service terms and data handling before processing sensitive assets.\n\nRisk: Authentication stores a dLazy API key in the local CLI configuration when the user logs in.\n\nMitigation: Prefer per-invocation credentials or rotate and revoke the API key from the dLazy dashboard when access is no longer needed.\n\nRisk: The artifact documentation conflicts on the primary image argument, while security guidance notes the imageseg argument should be verified.\n\nMitigation: Run dlazy imageseg -h before execution and use the current documented image option from the installed pinned CLI.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI homepage](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Configuration, JSON, Guidance]\n\n**Output Format:** [Markdown guidance with shell commands and JSON output examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to","readmeExcerpt":"Skill: 图片抠图 Image Segmentation Owner: dlazyai Summary: Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。 Tags: latest:1.3.26 Version history: v1.3.26 | 2026-10-08T01:15:52.913Z | user 例行版本更新 2026-10-08 v1.3.25 | 2026-10-04T01:14:45.109Z | user 例行版本更新 2","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: 'Image matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition. 图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h for help.\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nImage matting tool: separates foreground from background and returns transparent background URL, suitable for product image processing, character cutout, and composition.\r\n\r\n## Trigger Keywords\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 f"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-imageseg\",\n \"version\": \"1.3.26\",\n \"publishedAt\": 1791422152913\n}"},{"path":"skill-card.md","content":"## Description:\n\nHelps agents separate subjects from image backgrounds and return a transparent-background image URL for product photos, portraits, and compositions.\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\nCreators and developers use this skill to cut out subjects from images for product listings, character assets, and compositing.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Images or local files supplied to the tool may be uploaded to dLazy, and generated images are hosted there.\n\nMitigation: Avoid submitting sensitive images unless dLazy hosting and processing are acceptable; review the pinned CLI package before use.\n\nRisk: Authentication may save an API key in local configuration.\n\nMitigation: Use a per-invocation DLAZY_API_KEY when local key persistence is not desired.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-imageseg)\n- [dLazy CLI repository (linked in skill metadata)](https://github.com/dlazy-ai/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, Guidance]\n\n**Output Format:** [Markdown instructions with shell examples; tool response contains JSON with an image URL]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Transparent PNG result URL; optional local download]\n\n## Skill Version(s):\n\n1.3.26 (source: ClawHub release metadata; artifact frontmatter lists 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."},{"path":"SKILL-cn.md","content":"---\r\nname: dlazy-imageseg\r\nversion: 1.3.5\r\ndescription: '图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。'\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/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/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 imageseg -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图片抠图 Image Segmentation\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n图像抠图工具：将前景与背景分离并返回透明背景的 URL，适用于产品图片处理、人物抠图和合成。\r\n\r\n## 触发关键词\r\n\r\n- imageseg\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/dlazy-ai/cli](https://github.com/dlazy-ai/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 \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 imageseg` 命令获取结果。\r\n\r\n```bash\r\ndlazy imageseg -h\r\n\r\nOptions:\r\n --image [image] 图片链接 [image: url or local path]\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save Download the result asset to this local path (mkdir + retry handled for you)\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), `@stdi"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Image matting tool: separates foreground from background and returns transparent background URL, suitable 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