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Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.","shengdabai\u002FTony-Claude-Code-Skills","shengdabai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F116417419?v=4","01M70F6D2WY5PQV5A92BKYJQEW","Tony Sheng","01M70F6D3GAAAYZ5H4CC1G8VXM",3,"MIT","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Frsmdt-the-startup\u002Falirezarezvani-claude-skills\u002Fproduct-team\u002Fproduct-manager-toolkit\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000038","人力资源",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"product manager toolkit","manager","toolkit","Product Manager","product","development","feature","interview","rice","go","go-to-market","customer","prioritization","strategies","feature prioritization","documentation","analysis","managers","user research synthesis","user research","2026-11-10 10:12:30",false,"---\nname: product-manager-toolkit\ndescription: Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.\n---\n\n# Product Manager Toolkit\n\nEssential tools and frameworks for modern product management, from discovery to delivery.\n\n## Quick Start\n\n### For Feature Prioritization\n```bash\npython scripts\u002Frice_prioritizer.py sample  # Create sample CSV\npython scripts\u002Frice_prioritizer.py sample_features.csv --capacity 15\n```\n\n### For Interview Analysis\n```bash\npython scripts\u002Fcustomer_interview_analyzer.py interview_transcript.txt\n```\n\n### For PRD Creation\n1. Choose template from `references\u002Fprd_templates.md`\n2. Fill in sections based on discovery work\n3. Review with stakeholders\n4. Version control in your PM tool\n\n## Core Workflows\n\n### Feature Prioritization Process\n\n1. **Gather Feature Requests**\n   - Customer feedback\n   - Sales requests\n   - Technical debt\n   - Strategic initiatives\n\n2. **Score with RICE**\n   ```bash\n   # Create CSV with: name,reach,impact,confidence,effort\n   python scripts\u002Frice_prioritizer.py features.csv\n   ```\n   - **Reach**: Users affected per quarter\n   - **Impact**: massive\u002Fhigh\u002Fmedium\u002Flow\u002Fminimal\n   - **Confidence**: high\u002Fmedium\u002Flow\n   - **Effort**: xl\u002Fl\u002Fm\u002Fs\u002Fxs (person-months)\n\n3. **Analyze Portfolio**\n   - Review quick wins vs big bets\n   - Check effort distribution\n   - Validate against strategy\n\n4. **Generate Roadmap**\n   - Quarterly capacity planning\n   - Dependency mapping\n   - Stakeholder alignment\n\n### Customer Discovery Process\n\n1. **Conduct Interviews**\n   - Use semi-structured format\n   - Focus on problems, not solutions\n   - Record with permission\n\n2. **Analyze Insights**\n   ```bash\n   python scripts\u002Fcustomer_interview_analyzer.py transcript.txt\n   ```\n   Extracts:\n   - Pain points with severity\n   - Feature requests with priority\n   - Jobs to be done\n   - Sentiment analysis\n   - Key themes and quotes\n\n3. **Synthesize Findings**\n   - Group similar pain points\n   - Identify patterns across interviews\n   - Map to opportunity areas\n\n4. **Validate Solutions**\n   - Create solution hypotheses\n   - Test with prototypes\n   - Measure actual vs expected behavior\n\n### PRD Development Process\n\n1. **Choose Template**\n   - **Standard PRD**: Complex features (6-8 weeks)\n   - **One-Page PRD**: Simple features (2-4 weeks)\n   - **Feature Brief**: Exploration phase (1 week)\n   - **Agile Epic**: Sprint-based delivery\n\n2. **Structure Content**\n   - Problem → Solution → Success Metrics\n   - Always include out-of-scope\n   - Clear acceptance criteria\n\n3. **Collaborate**\n   - Engineering for feasibility\n   - Design for experience\n   - Sales for market validation\n   - Support for operational impact\n\n## Key Scripts\n\n### rice_prioritizer.py\nAdvanced RICE framework implementation with portfolio analysis.\n\n**Features**:\n- RICE score calculation\n- Portfolio balance analysis (quick wins vs big bets)\n- Quarterly roadmap generation\n- Team capacity planning\n- Multiple output formats (text\u002Fjson\u002Fcsv)\n\n**Usage Examples**:\n```bash\n# Basic prioritization\npython scripts\u002Frice_prioritizer.py features.csv\n\n# With custom team capacity (person-months per quarter)\npython scripts\u002Frice_prioritizer.py features.csv --capacity 20\n\n# Output as JSON for integration\npython scripts\u002Frice_prioritizer.py features.csv --output json\n```\n\n### customer_interview_analyzer.py\nNLP-based interview analysis for extracting actionable insights.\n\n**Capabilities**:\n- Pain point extraction with severity assessment\n- Feature request identification and classification\n- Jobs-to-be-done pattern recognition\n- Sentiment analysis\n- Theme extraction\n- Competitor mentions\n- Key quotes identification\n\n**Usage Examples**:\n```bash\n# Analyze single interview\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt\n\n# Output as JSON for aggregation\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n\n## Reference Documents\n\n### prd_templates.md\nMultiple PRD formats for different contexts:\n\n1. **Standard PRD Template**\n   - Comprehensive 11-section format\n   - Best for major features\n   - Includes technical specs\n\n2. **One-Page PRD**\n   - Concise format for quick alignment\n   - Focus on problem\u002Fsolution\u002Fmetrics\n   - Good for smaller features\n\n3. **Agile Epic Template**\n   - Sprint-based delivery\n   - User story mapping\n   - Acceptance criteria focus\n\n4. **Feature Brief**\n   - Lightweight exploration\n   - Hypothesis-driven\n   - Pre-PRD phase\n\n## Prioritization Frameworks\n\n### RICE Framework\n```\nScore = (Reach × Impact × Confidence) \u002F Effort\n\nReach: # of users\u002Fquarter\nImpact: \n  - Massive = 3x\n  - High = 2x\n  - Medium = 1x\n  - Low = 0.5x\n  - Minimal = 0.25x\nConfidence:\n  - High = 100%\n  - Medium = 80%\n  - Low = 50%\nEffort: Person-months\n```\n\n### Value vs Effort Matrix\n```\n         Low Effort    High Effort\n         \nHigh     QUICK WINS    BIG BETS\nValue    [Prioritize]   [Strategic]\n         \nLow      FILL-INS      TIME SINKS\nValue    [Maybe]       [Avoid]\n```\n\n### MoSCoW Method\n- **Must Have**: Critical for launch\n- **Should Have**: Important but not critical\n- **Could Have**: Nice to have\n- **Won't Have**: Out of scope\n\n## Discovery Frameworks\n\n### Customer Interview Guide\n```\n1. Context Questions (5 min)\n   - Role and responsibilities\n   - Current workflow\n   - Tools used\n\n2. Problem Exploration (15 min)\n   - Pain points\n   - Frequency and impact\n   - Current workarounds\n\n3. Solution Validation (10 min)\n   - Reaction to concepts\n   - Value perception\n   - Willingness to pay\n\n4. Wrap-up (5 min)\n   - Other thoughts\n   - Referrals\n   - Follow-up permission\n```\n\n### Hypothesis Template\n```\nWe believe that [building this feature]\nFor [these users]\nWill [achieve this outcome]\nWe'll know we're right when [metric]\n```\n\n### Opportunity Solution Tree\n```\nOutcome\n├── Opportunity 1\n│   ├── Solution A\n│   └── Solution B\n└── Opportunity 2\n    ├── Solution C\n    └── Solution D\n```\n\n## Metrics & Analytics\n\n### North Star Metric Framework\n1. **Identify Core Value**: What's the #1 value to users?\n2. **Make it Measurable**: Quantifiable and trackable\n3. **Ensure It's Actionable**: Teams can influence it\n4. **Check Leading Indicator**: Predicts business success\n\n### Funnel Analysis Template\n```\nAcquisition → Activation → Retention → Revenue → Referral\n\nKey Metrics:\n- Conversion rate at each step\n- Drop-off points\n- Time between steps\n- Cohort variations\n```\n\n### Feature Success Metrics\n- **Adoption**: % of users using feature\n- **Frequency**: Usage per user per time period\n- **Depth**: % of feature capability used\n- **Retention**: Continued usage over time\n- **Satisfaction**: NPS\u002FCSAT for feature\n\n## Best Practices\n\n### Writing Great PRDs\n1. Start with the problem, not solution\n2. Include clear success metrics upfront\n3. Explicitly state what's out of scope\n4. Use visuals (wireframes, flows)\n5. Keep technical details in appendix\n6. Version control changes\n\n### Effective Prioritization\n1. Mix quick wins with strategic bets\n2. Consider opportunity cost\n3. Account for dependencies\n4. Buffer for unexpected work (20%)\n5. Revisit quarterly\n6. Communicate decisions clearly\n\n### Customer Discovery Tips\n1. Ask \"why\" 5 times\n2. Focus on past behavior, not future intentions\n3. Avoid leading questions\n4. Interview in their environment\n5. Look for emotional reactions\n6. Validate with data\n\n### Stakeholder Management\n1. Identify RACI for decisions\n2. Regular async updates\n3. Demo over documentation\n4. Address concerns early\n5. Celebrate wins publicly\n6. Learn from failures openly\n\n## Common Pitfalls to Avoid\n\n1. **Solution-First Thinking**: Jumping to features before understanding problems\n2. **Analysis Paralysis**: Over-researching without shipping\n3. **Feature Factory**: Shipping features without measuring impact\n4. **Ignoring Technical Debt**: Not allocating time for platform health\n5. **Stakeholder Surprise**: Not communicating early and often\n6. **Metric Theater**: Optimizing vanity metrics over real value\n\n## Integration Points\n\nThis toolkit integrates with:\n- **Analytics**: Amplitude, Mixpanel, Google Analytics\n- **Roadmapping**: ProductBoard, Aha!, Roadmunk\n- **Design**: Figma, Sketch, Miro\n- **Development**: Jira, Linear, GitHub\n- **Research**: Dovetail, UserVoice, Pendo\n- **Communication**: Slack, Notion, Confluence\n\n## Quick Commands Cheat Sheet\n\n```bash\n# Prioritization\npython scripts\u002Frice_prioritizer.py features.csv --capacity 15\n\n# Interview Analysis\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt\n\n# Create sample data\npython scripts\u002Frice_prioritizer.py sample\n\n# JSON outputs for integration\npython scripts\u002Frice_prioritizer.py features.csv --output json\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n","# Product Manager Toolkit\n\nEssential tools and frameworks for modern product management, from discovery to delivery.\n\n## Quick Start\n\n### For Feature Prioritization\n```bash\npython scripts\u002Frice_prioritizer.py sample  # Create sample CSV\npython scripts\u002Frice_prioritizer.py sample_features.csv --capacity 15\n```\n\n### For Interview Analysis\n```bash\npython scripts\u002Fcustomer_interview_analyzer.py interview_transcript.txt\n```\n\n### For PRD Creation\n1. Choose template from `references\u002Fprd_templates.md`\n2. Fill in sections based on discovery work\n3. Review with stakeholders\n4. Version control in your PM tool\n\n## Core Workflows\n\n### Feature Prioritization Process\n\n1. **Gather Feature Requests**\n   - Customer feedback\n   - Sales requests\n   - Technical debt\n   - Strategic initiatives\n\n2. **Score with RICE**\n   ```bash\n   # Create CSV with: name,reach,impact,confidence,effort\n   python scripts\u002Frice_prioritizer.py features.csv\n   ```\n   - **Reach**: Users affected per quarter\n   - **Impact**: massive\u002Fhigh\u002Fmedium\u002Flow\u002Fminimal\n   - **Confidence**: high\u002Fmedium\u002Flow\n   - **Effort**: xl\u002Fl\u002Fm\u002Fs\u002Fxs (person-months)\n\n3. **Analyze Portfolio**\n   - Review quick wins vs big bets\n   - Check effort distribution\n   - Validate against strategy\n\n4. **Generate Roadmap**\n   - Quarterly capacity planning\n   - Dependency mapping\n   - Stakeholder alignment\n\n### Customer Discovery Process\n\n1. **Conduct Interviews**\n   - Use semi-structured format\n   - Focus on problems, not solutions\n   - Record with permission\n\n2. **Analyze Insights**\n   ```bash\n   python scripts\u002Fcustomer_interview_analyzer.py transcript.txt\n   ```\n   Extracts:\n   - Pain points with severity\n   - Feature requests with priority\n   - Jobs to be done\n   - Sentiment analysis\n   - Key themes and quotes\n\n3. **Synthesize Findings**\n   - Group similar pain points\n   - Identify patterns across interviews\n   - Map to opportunity areas\n\n4. **Validate Solutions**\n   - Create solution hypotheses\n   - Test with prototypes\n   - Measure actual vs expected behavior\n\n### PRD Development Process\n\n1. **Choose Template**\n   - **Standard PRD**: Complex features (6-8 weeks)\n   - **One-Page PRD**: Simple features (2-4 weeks)\n   - **Feature Brief**: Exploration phase (1 week)\n   - **Agile Epic**: Sprint-based delivery\n\n2. **Structure Content**\n   - Problem → Solution → Success Metrics\n   - Always include out-of-scope\n   - Clear acceptance criteria\n\n3. **Collaborate**\n   - Engineering for feasibility\n   - Design for experience\n   - Sales for market validation\n   - Support for operational impact\n\n## Key Scripts\n\n### rice_prioritizer.py\nAdvanced RICE framework implementation with portfolio analysis.\n\n**Features**:\n- RICE score calculation\n- Portfolio balance analysis (quick wins vs big bets)\n- Quarterly roadmap generation\n- Team capacity planning\n- Multiple output formats (text\u002Fjson\u002Fcsv)\n\n**Usage Examples**:\n```bash\n# Basic prioritization\npython scripts\u002Frice_prioritizer.py features.csv\n\n# With custom team capacity (person-months per quarter)\npython scripts\u002Frice_prioritizer.py features.csv --capacity 20\n\n# Output as JSON for integration\npython scripts\u002Frice_prioritizer.py features.csv --output json\n```\n\n### customer_interview_analyzer.py\nNLP-based interview analysis for extracting actionable insights.\n\n**Capabilities**:\n- Pain point extraction with severity assessment\n- Feature request identification and classification\n- Jobs-to-be-done pattern recognition\n- Sentiment analysis\n- Theme extraction\n- Competitor mentions\n- Key quotes identification\n\n**Usage Examples**:\n```bash\n# Analyze single interview\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt\n\n# Output as JSON for aggregation\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n\n## Reference Documents\n\n### prd_templates.md\nMultiple PRD formats for different contexts:\n\n1. **Standard PRD Template**\n   - Comprehensive 11-section format\n   - Best for major features\n   - Includes technical specs\n\n2. **One-Page PRD**\n   - Concise format for quick alignment\n   - Focus on problem\u002Fsolution\u002Fmetrics\n   - Good for smaller features\n\n3. **Agile Epic Template**\n   - Sprint-based delivery\n   - User story mapping\n   - Acceptance criteria focus\n\n4. **Feature Brief**\n   - Lightweight exploration\n   - Hypothesis-driven\n   - Pre-PRD phase\n\n## Prioritization Frameworks\n\n### RICE Framework\n```\nScore = (Reach × Impact × Confidence) \u002F Effort\n\nReach: # of users\u002Fquarter\nImpact: \n  - Massive = 3x\n  - High = 2x\n  - Medium = 1x\n  - Low = 0.5x\n  - Minimal = 0.25x\nConfidence:\n  - High = 100%\n  - Medium = 80%\n  - Low = 50%\nEffort: Person-months\n```\n\n### Value vs Effort Matrix\n```\n         Low Effort    High Effort\n         \nHigh     QUICK WINS    BIG BETS\nValue    [Prioritize]   [Strategic]\n         \nLow      FILL-INS      TIME SINKS\nValue    [Maybe]       [Avoid]\n```\n\n### MoSCoW Method\n- **Must Have**: Critical for launch\n- **Should Have**: Important but not critical\n- **Could Have**: Nice to have\n- **Won't Have**: Out of scope\n\n## Discovery Frameworks\n\n### Customer Interview Guide\n```\n1. Context Questions (5 min)\n   - Role and responsibilities\n   - Current workflow\n   - Tools used\n\n2. Problem Exploration (15 min)\n   - Pain points\n   - Frequency and impact\n   - Current workarounds\n\n3. Solution Validation (10 min)\n   - Reaction to concepts\n   - Value perception\n   - Willingness to pay\n\n4. Wrap-up (5 min)\n   - Other thoughts\n   - Referrals\n   - Follow-up permission\n```\n\n### Hypothesis Template\n```\nWe believe that [building this feature]\nFor [these users]\nWill [achieve this outcome]\nWe'll know we're right when [metric]\n```\n\n### Opportunity Solution Tree\n```\nOutcome\n├── Opportunity 1\n│   ├── Solution A\n│   └── Solution B\n└── Opportunity 2\n    ├── Solution C\n    └── Solution D\n```\n\n## Metrics & Analytics\n\n### North Star Metric Framework\n1. **Identify Core Value**: What's the #1 value to users?\n2. **Make it Measurable**: Quantifiable and trackable\n3. **Ensure It's Actionable**: Teams can influence it\n4. **Check Leading Indicator**: Predicts business success\n\n### Funnel Analysis Template\n```\nAcquisition → Activation → Retention → Revenue → Referral\n\nKey Metrics:\n- Conversion rate at each step\n- Drop-off points\n- Time between steps\n- Cohort variations\n```\n\n### Feature Success Metrics\n- **Adoption**: % of users using feature\n- **Frequency**: Usage per user per time period\n- **Depth**: % of feature capability used\n- **Retention**: Continued usage over time\n- **Satisfaction**: NPS\u002FCSAT for feature\n\n## Best Practices\n\n### Writing Great PRDs\n1. Start with the problem, not solution\n2. Include clear success metrics upfront\n3. Explicitly state what's out of scope\n4. Use visuals (wireframes, flows)\n5. Keep technical details in appendix\n6. Version control changes\n\n### Effective Prioritization\n1. Mix quick wins with strategic bets\n2. Consider opportunity cost\n3. Account for dependencies\n4. Buffer for unexpected work (20%)\n5. Revisit quarterly\n6. Communicate decisions clearly\n\n### Customer Discovery Tips\n1. Ask \"why\" 5 times\n2. Focus on past behavior, not future intentions\n3. Avoid leading questions\n4. Interview in their environment\n5. Look for emotional reactions\n6. Validate with data\n\n### Stakeholder Management\n1. Identify RACI for decisions\n2. Regular async updates\n3. Demo over documentation\n4. Address concerns early\n5. Celebrate wins publicly\n6. Learn from failures openly\n\n## Common Pitfalls to Avoid\n\n1. **Solution-First Thinking**: Jumping to features before understanding problems\n2. **Analysis Paralysis**: Over-researching without shipping\n3. **Feature Factory**: Shipping features without measuring impact\n4. **Ignoring Technical Debt**: Not allocating time for platform health\n5. **Stakeholder Surprise**: Not communicating early and often\n6. **Metric Theater**: Optimizing vanity metrics over real value\n\n## Integration Points\n\nThis toolkit integrates with:\n- **Analytics**: Amplitude, Mixpanel, Google Analytics\n- **Roadmapping**: ProductBoard, Aha!, Roadmunk\n- **Design**: Figma, Sketch, Miro\n- **Development**: Jira, Linear, GitHub\n- **Research**: Dovetail, UserVoice, Pendo\n- **Communication**: Slack, Notion, Confluence\n\n## Quick Commands Cheat Sheet\n\n```bash\n# Prioritization\npython scripts\u002Frice_prioritizer.py features.csv --capacity 15\n\n# Interview Analysis\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt\n\n# Create sample data\npython scripts\u002Frice_prioritizer.py sample\n\n# JSON outputs for integration\npython scripts\u002Frice_prioritizer.py features.csv --output json\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002F_collections\u002Frsmdt-the-startup\u002Falirezarezvani-claude-skills\u002Fproduct-team\u002Fproduct-manager-toolkit",1,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills","https:\u002F\u002Fzturnsgo.com","https:\u002F\u002Fgithub.com\u002Fshengdabai","https:\u002F\u002Fzturnsgo.com\u002F","AI × education creator — producer, not consumer. Taught 6,000+ learners; shipping learning tools & daily essays with Claude Code, practicing @xiaolai's way 🥋","2026-11-01 21:28:23",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill product-manager-toolkit",{"tool":68,"command":69},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill product-manager-toolkit",{"tool":71,"command":72},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill product-manager-toolkit","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Frsmdt-the-startup\u002Falirezarezvani-claude-skills\u002Fproduct-team\u002Fproduct-manager-toolkit\u002FSKILL.md",true,[76,82,88],{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fprd_templates.md","REFERENCE","参考文档",7249,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Frsmdt-the-startup\u002Falirezarezvani-claude-skills\u002Fproduct-team\u002Fproduct-manager-toolkit\u002Freferences\u002Fprd_templates.md",{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"scripts\u002Fcustomer_interview_analyzer.py","SCRIPT","脚本",17066,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Frsmdt-the-startup\u002Falirezarezvani-claude-skills\u002Fproduct-team\u002Fproduct-manager-toolkit\u002Fscripts\u002Fcustomer_interview_analyzer.py",{"path":89,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":90,"sourceHtmlUrl":91},"scripts\u002Frice_prioritizer.py",11872,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Frsmdt-the-startup\u002Falirezarezvani-claude-skills\u002Fproduct-team\u002Fproduct-manager-toolkit\u002Fscripts\u002Frice_prioritizer.py",[93,112,143,170,192,212],{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":104,"publishedAt":47},"01M70P17DAD4C1C47NPH6A96EM","xiaolai-methodology","以李笑来(Li Xiaolai)的思考方式、方法论与表达风格,为用户做全方位 1-on-1 教练指导,覆盖创业、赚钱、投资、学习、自学、读书写作、用 AI、以及人生心态与自我管理。当用户提到 \"李笑来\"、\"笑来\"、\"笑来老师\"、\"扮演李笑来\"、\"找笑来聊聊\"、\"笑来怎么看\"、\"xiaolai\"、\"把时间当作朋友\"、\"通往财富自由之路\"、\"定投改变命运\"、\"韭菜的自我修养\"、\"自学是门手艺\"、\"让时间陪你慢慢变富\"、\"七年就是一辈子\"、\"元认知\"、\"活在未来\"、\"复利\u002F长期主义\"、\"践行\"、\"痴迷改进\"、\"个人商业模式\u002F出售时间\"、\"睡后收入\"、\"定投\"、\"财富自由\"、\"操作系统升级\"、\"最少必要知识\"、\"北极星提示词\"、\"用 AI 该怎么学\u002F思考\" 等任一触发词,或当用户带着关于创业\u002F赚钱\u002F投资\u002F学习\u002F职业\u002F重大人生决策的困惑、希望被人用笑来式的「逻辑 + 大白话 + 类比 + 重新定义 + 践行导向」来点醒和指导时,自动进入李笑来教练模式。","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fxiaolai-methodology\u002FSKILL.md",[99],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",[105,106,107,108,109,110,111],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":124,"publishedAt":47},"01M70P13NB9YP7ACJR1S861CDS","zread","Produce and consume a wiki-style knowledge base for a code repository via the `zread` CLI and its on-disk output under `.\u002F.zread\u002Fwiki\u002F`. Use this skill whenever the user wants to understand, onboard onto, explore, summarize, map, or get an overview of an unfamiliar codebase; asks for architecture docs, a project wiki, a repo walkthrough, module\u002Fpackage explanations, or \"what does this repo do\"; wants to generate, regenerate, resume, browse, or serve code documentation locally; or mentions zread \u002F zread.ai directly. Also use it proactively before diving into a large unknown repo — if `.\u002F.zread\u002Fwiki\u002Fcurrent` exists, read the generated pages instead of crawling source file-by-file; if it doesn't, consider offering to run `zread generate`. The trigger is the intent (understand a codebase through generated docs), not the literal word \"zread\".","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fzread\u002FSKILL.md",[118,121],{"categoryNo":119,"categoryName":120,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":122,"categoryName":123,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师",[114,125,126,127,128,129,130,131,132,133,134,135,136,42,137,138,139,140,141,142],"knowledge","wiki","explore","walkthrough","project","get","knowledge base","run","generate","intent","cli","map","project wiki","disk","architecture","code","unknown","generated",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":153,"publishedAt":47},"01M70P10S4SWMZQ8BJAFBFDRW3","youtube","Launch the YouTube Creator Agent to auto-generate videos.\nUse when: user types \u002Fyoutube, wants to create YouTube videos,\ngenerate video content, or upload to YouTube.\nKeywords: youtube, video, 视频, 创作视频, 发布视频","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube\u002FSKILL.md",[149,150],{"categoryNo":119,"categoryName":120,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":151,"categoryName":152,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000036","内容创作者",[145,154,155,156,157,158,159,160,133,161,162,163,164,165,166,167,168,169],"user","content","视频","creator","generate video","videos","launch","video content","create","upload","when","use","auto","types","Video","创作",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":177,"publishedAt":47},"01M70P0YE95D8BACZCGV8BK90K","youtube-script-sync","Sync, update, or optimize Tony's GetNote knowledge base `Youtube视频逐字稿` by turning each parent recording or first-person idea note into an idempotent child note containing a directly recordable YouTube long-video or Shorts script. Use when the user says “更新\u002F同步\u002F优化 Youtube视频逐字稿知识库”, or says “更新\u002F同步\u002F优化该知识库” while this knowledge base is the active context.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube-script-sync\u002FSKILL.md",[176],{"categoryNo":119,"categoryName":120,"taxonomyType":102,"taxonomyTypeDesc":103},[178,179,145,180,181,168,182,183,184,185,186,187,188,189,131,190,164,165,125,191],"sync","script","youtube script sync","recording","shorts","first","base","person","update","active","child","optimize","idempotent","long",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":202,"publishedAt":47},"01M70P0WMV5XT0EEC0N445PW07","writing-skills","How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing Claude Code skills.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-skills\u002FSKILL.md",[198,199,200,201],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":119,"categoryName":120,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":122,"categoryName":123,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":151,"categoryName":152,"taxonomyType":21,"taxonomyTypeDesc":22},[203,110,204,205,206,207,140,164,165,208,209,210,211],"writing skills","how","teach","write skill","write","claude code skills","files","how to","trigger",{"skillNo":213,"name":214,"nameZh":6,"description":215,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":216,"categories":217,"keywords":220,"publishedAt":47},"01M70P0SJFR4YVJQBGMHKGSKXT","writing-rules","How to write .claude\u002Frules\u002F files that Claude actually follows. Use when creating, improving, or reviewing project rules.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-rules\u002FSKILL.md",[218,219],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":151,"categoryName":152,"taxonomyType":21,"taxonomyTypeDesc":22},[221,110,222,129,223,209,164,204,207,165,210],"Rules","writing rules","project rules"]