![\"Product](\"assets/input-example.png\")
\n\n \n
![\"Product](\"assets/output-example.png\")
\n\n## 使用方式\n\n将仓库放入 Codex Skills 目录：\n\n```text\n~/.codex/skills/product-research/\n├── SKILL.md\n├── README.md\n├── LICENSE\n└── assets/\n```\n\n在 Codex 中指定产品和研究目的，例如：\n\n```text\n使用 product-research 深度研究抖音支付，重点分析用户场景、增长价值、竞品差异和战略位置，用于产品经理面试。\n```\n\n或：\n\n```text\n比较抖音支付、微信支付和支付宝的产品定位、核心场景、商业模式及护城河。\n```\n\n## 信息质量\n\n- 每个关键事实记录来源、发布日期和数据截止时间\n- 对证据标注一手、二手或估算等级\n- 保持用户、营收、市场规模等数据口径可比\n- 找不到可靠证据时明确写“公开信息不足”\n- 不把匿名爆料、薪资信息或员工评价当作事实\n- 不自动扩展为投资建议或股价预测\n\n## License\n\n[MIT License](LICENSE) © 2026 yangming1768-alt\n\nFile v0.1.0:_meta.json\n\n{\n \"ownerId\": \"kn76jdq46vbrgc328t0tr68apx81rknb\",\n \"slug\": \"product-research-2\",\n \"version\": \"0.1.0\",\n \"publishedAt\": 1785773301964\n}\n\nFile v0.1.0:skill-card.md\n\n## Description:\n\nThis Chinese-language skill guides evidence-based software product research for interview preparation, competitor analysis, industry research, and commercial due diligence.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[yangming1768-alt](https://clawhub.ai/user/yangming1768-alt)\n\n### License/Terms of Use:\n\nMIT\n\n## Use Case:\n\nProduct managers, researchers, and developers use this skill to investigate B2B or B2C software products and produce structured, source-backed research reports. Typical uses include product interview preparation, competitor analysis, industry research, and commercial due diligence.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Generated research reports may rely on public web sources with uneven freshness, authority, or data definitions.\n\nMitigation: Review cited sources, publication dates, data cutoffs, and evidence levels before using the report for interviews, strategy, or diligence.\n\nRisk: The skill can create report files and supporting research artifacts when long-term documentation is appropriate.\n\nMitigation: Choose the output location deliberately and review generated files before sharing or committing them.\n\n## Reference(s):\n\n- [Product Research GitHub Repository](https://github.com/yangming1768-alt/product-research)\n- [Product Research ClawHub Skill Page](https://clawhub.ai/yangming1768-alt/skills/product-research-2)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Files, Guidance]\n\n**Output Format:** [Markdown reports and source summaries, optionally saved as files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May create a product-specific directory containing a research report, source summary, and raw path notes when file output is appropriate.]\n\n## Skill Version(s):\n\n0.1.0 (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 v0.1.0:LICENSE\n\nMIT License\n\nCopyright (c) 2026 yangming1768-alt\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.","readmeExcerpt":"Skill: Product Research Owner: yangming1768-alt Summary: 对软件产品进行深度研究，输出支持产品面试、竞品分析、行业研究或商业尽调的结构化报告。用于用户要求深度研究、分析某个产品、准备产品岗位面试、比较竞品或梳理产品战略时。 Tags: latest:0.1.0 Version history: v0.1.0 | 2026-08-03T16:08:21.964Z | auto - Initial release of a skill for in-depth software product research, focused on supporting interviews, competitor analysis, industry research, and commercial due diligence. - Defines a standardized, evid","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"{产品名}/\n├── {产品名}深度研究.md\n├── 信息来源汇总.md\n└── raw/\n ├── 路径1_官方数据.md\n ├── 路径2_发展历程.md\n ├── 路径3_竞品数据.md\n ├── 路径4_行业量化.md\n ├── 路径5_深度战略.md\n └── _采集摘要.md"},{"language":"text","snippet":"{产品名}/\n├── {产品名}深度研究.md\n├── 信息来源汇总.md\n└── raw/\n ├── 路径1_官方数据.md\n ├── 路径2_发展历程.md\n ├── 路径3_竞品数据.md\n ├── 路径4_行业量化.md\n ├── 路径5_深度战略.md\n └── _采集摘要.md"},{"language":"text","snippet":"~/.codex/skills/product-research/\n├── SKILL.md\n├── README.md\n├── LICENSE\n└── assets/"},{"language":"text","snippet":"使用 product-research 深度研究抖音支付，重点分析用户场景、增长价值、竞品差异和战略位置，用于产品经理面试。"},{"language":"text","snippet":"比较抖音支付、微信支付和支付宝的产品定位、核心场景、商业模式及护城河。"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: product-research\ndescription: 对软件产品进行深度研究，输出支持产品面试、竞品分析、行业研究或商业尽调的结构化报告。用于用户要求深度研究、分析某个产品、准备产品岗位面试、比较竞品或梳理产品战略时。\n---\n\n# 通用软件产品深度研究\n\n将 B 端或 C 端软件产品整理为有证据、可追溯、适合面试表达的深度报告。\n\n## 1. 明确研究范围\n\n从用户消息中提取产品名、研究目的、目标岗位或对比视角、特别关注点和输出位置。能从上下文合理推断时直接执行；只有产品存在歧义或选择会显著改变报告时才提问。\n\n默认报告框架：\n\n1. 基础认知：规模、归属、用户和营收口径\n2. 发展历程：版本、事件和战略演进时间线\n3. 核心定位：官方定位与外部分析\n4. 竞品对比：用户、场景、功能、商业模式、生态和护城河\n5. AI 战略：态度、产品布局、能力与主要竞品对比\n6. 深度战略分析：结合用户关注点定制\n7. 面试关键观点：三条可在面试中直接表达的结论\n\n如果用户明确要求先确认框架，则确认后继续；否则采用默认框架并推进。\n\n## 2. 多路采集\n\n围绕五条独立路径开展研究。优先使用批量网页搜索并行查询；任务体量较大且允许委派时，可将独立路径分配给多个研究代理，但不得依赖固定模型名称或固定代理数量。\n\n| 路径 | 研究内容 | 优先来源 |\n|---|---|---|\n| 官方数据 | 官网、公告、财报、发布会、帮助文档 | 公司官方与监管披露 |\n| 发展历程 | 版本迭代、重大事件和战略转向 | 官方记录与可靠科技媒体 |\n| 竞品数据 | 规模、功能、战略和本质差异 | 竞品官方资料与横向研究 |\n| 行业量化 | 市场规模、用户、收入及渗透率 | 权威研究机构与统计资料 |\n| 深度战略 | 护城河、组织选择和行业解读 | 高质量深度报道与专家分析 |\n\n每条关键事实记录来源、发布日期、数据截止日期和证据等级：一手、二手或估算。引用应链接到直接支持结论的页面。\n\n## 3. 起草与综合\n\n先完成基础认知、发展历程、竞品对比和 AI 战略，再综合核心定位与深度战略分析，最后提炼面试观点。不要让不同章节各自使用不可比的数据口径。\n\n面试观点每条应：\n\n- 能在约 30 秒内表达；\n- 包含产品本质、关键差异或护城河；\n- 至少有一个可核验的数据或事实锚点；\n- 明确事实、推断和个人判断之间的边界。\n\n## 4. 校验\n\n交付前检查：\n\n1. 规模、营收和用户数据的口径与时间是否一致。\n2. 官方事实、媒体转述和行业估算是否清晰区分。\n3. 产品定位与历史演进是否自洽。\n4. 竞品数据的时间点和定义是否可比。\n5. 所有关键数字是否有直接来源；找不到证据则写“公开信息不足”。\n\n## 5. 输出\n\n默认在用户指定目录或当前工作目录的 `{产品名}/` 下生成：\n\n```text\n{产品名}/\n├── {产品名}深度研究.md\n├── 信息来源汇总.md\n└── raw/\n ├── 路径1_官方数据.md\n ├── 路径2_发展历程.md\n ├── 路径3_竞品数据.md\n ├── 路径4_行业量化.md\n ├── 路径5_深度战略.md\n └── _采集摘要.md\n```\n\n仅在用户需要文件交付或任务适合形成长期资料时落盘；简单问答可直接在对话中交付。不要覆盖已有文件，除非用户明确要求。\n\n## 边界\n\n- 不把未经验证的员工评价、薪资信息或匿名爆料当作事实。\n- 不收集个人隐私。\n- 商业研究不自动扩展为投资建议，不预测股价或市值。\n- 不编造数据；缺失信息应明确保留为数据缺口。"},{"path":"README.md","content":"# Product Research\n\n> 将一个软件产品，研究成有证据、可追溯、适合面试表达的深度报告。\n\n[](LICENSE)\n\n\n`product-research` 是一个面向产品面试、竞品分析、行业研究和商业尽调的 Codex Skill，适用于 B 端与 C 端软件产品。它会从官方资料、版本历史、竞品数据、行业研究和深度报道中交叉核验信息，最终输出结构化产品研究报告。\n\n## 能做什么\n\n- 梳理产品归属、定位、用户、规模和营收口径\n- 整理版本迭代、重大事件和战略演进时间线\n- 对比竞品的用户、场景、功能、商业模式、生态和护城河\n- 研究产品的 AI 战略、能力布局及竞争差异\n- 核验市场规模、用户数据、收入与渗透率\n- 区分官方事实、媒体转述、行业估算和分析判断\n- 提炼可在面试中约 30 秒表达的关键产品观点\n\n## 输入示例\n\n可以直接指定产品，也可以提供 JD，让 Skill 从岗位背景中识别需要重点研究的产品和业务。\n\n\n \n
\n\n## 使用方式\n\n将仓库放入 Codex Skills 目录：\n\n```text\n~/.codex/skills/product-research/\n├── SKILL.md\n├── README.md\n├── LICENSE\n└── assets/\n```\n\n在 Codex 中指定产品和研究目的，例如：\n\n```text\n使用 product-research 深度研究抖音支付，重点分析用户场景、增长价值、竞品差异和战略位置，用于产品经理面试。\n```\n\n或：\n\n```text\n比较抖音支付、微信支付和支付宝的产品定位、核心场景、商业模式及护城河。\n```\n\n## 信息质量\n\n- 每个关键事实记录来源、发布日期和数据截止时间\n- 对证据标注一手、二手或估算等级\n- 保持用户、营收、市场规模等数据口径可比\n- 找不到可靠证据时明确写“公开信息不足”\n- 不把匿名爆料、薪资信息或员工评价当作事实\n- 不自动扩展为投资建议或股价预测\n\n## License\n\n[MIT License](LICENSE) © 2026 yangming1768-alt"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn76jdq46vbrgc328t0tr68apx81rknb\",\n \"slug\": \"product-research-2\",\n \"version\": \"0.1.0\",\n \"publishedAt\": 1785773301964\n}"},{"path":"skill-card.md","content":"## Description:\n\nThis Chinese-language skill guides evidence-based software product research for interview preparation, competitor analysis, industry research, and commercial due diligence.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[yangming1768-alt](https://clawhub.ai/user/yangming1768-alt)\n\n### License/Terms of Use:\n\nMIT\n\n## Use Case:\n\nProduct managers, researchers, and developers use this skill to investigate B2B or B2C software products and produce structured, source-backed research reports. Typical uses include product interview preparation, competitor analysis, industry research, and commercial due diligence.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Generated research reports may rely on public web sources with uneven freshness, authority, or data definitions.\n\nMitigation: Review cited sources, publication dates, data cutoffs, and evidence levels before using the report for interviews, strategy, or diligence.\n\nRisk: The skill can create report files and supporting research artifacts when long-term documentation is appropriate.\n\nMitigation: Choose the output location deliberately and review generated files before sharing or committing them.\n\n## Reference(s):\n\n- [Product Research GitHub Repository](https://github.com/yangming1768-alt/product-research)\n- [Product Research ClawHub Skill Page](https://clawhub.ai/yangming1768-alt/skills/product-research-2)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Files, Guidance]\n\n**Output Format:** [Markdown reports and source summaries, optionally saved as files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May create a product-specific directory containing a research report, source summary, and raw path notes when file output is appropriate.]\n\n## Skill Version(s):\n\n0.1.0 (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."},{"path":"LICENSE","content":"MIT License\n\nCopyright (c) 2026 yangming1768-alt\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"对软件产品进行深度研究，输出支持产品面试、竞品分析、行业研究或商业尽调的结构化报告。用于用户要求深度研究、分析某个产品、准备产品岗位面试、比较竞品或梳理产品战略时。 Skill: Product Research Owner: yangming1768-alt Summary: 对软件产品进行深度研究，输出支持产品面试、竞品分析、行业研究或商业尽调的结构化报告。用于用户要求深度研究、分析某个产品、准备产品岗位面试、比较竞品或梳理产品战略时。 Tags: latest:0.1.0 Version history: v0.1.0 | 2026-08-03T16:08:21.964Z | auto - Initial release of a skill for in-depth software product research, focused on supporting interviews, competitor analysis, industry research, and commercial due diligence. - Defines a standardized, evid","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":911,"uniquenessScore":57,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T12:59:58.478Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T12:59:58.478Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-09T21:09:10.517Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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