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Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.","dahaliztupe-sketch\u002FKalmeron-Two","dahaliztupe-sketch","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F271085317?v=4","01M719765Q83P08JCQ1SWNQR0N","01M719766HQBGF44W90MPJKTD2",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002FSKILL.md",[17,22,27],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",{"categoryNo":28,"categoryName":29,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000038","人力资源",[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"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---\n\n## Table of Contents\n\n- [Quick Start](#quick-start)\n- [Core Workflows](#core-workflows)\n  - [Feature Prioritization](#feature-prioritization-process)\n  - [Customer Discovery](#customer-discovery-process)\n  - [PRD Development](#prd-development-process)\n- [Tools Reference](#tools-reference)\n  - [RICE Prioritizer](#rice-prioritizer)\n  - [Customer Interview Analyzer](#customer-interview-analyzer)\n- [Input\u002FOutput Examples](#inputoutput-examples)\n- [Integration Points](#integration-points)\n- [Common Pitfalls](#common-pitfalls-to-avoid)\n\n---\n\n## Quick Start\n\n### For Feature Prioritization\n```bash\n# Create sample data file\npython scripts\u002Frice_prioritizer.py sample\n\n# Run prioritization with team capacity\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 sections based on discovery work\n3. Review with engineering for feasibility\n4. Version control in project management tool\n\n---\n\n## Core Workflows\n\n### Feature Prioritization Process\n\n```\nGather → Score → Analyze → Plan → Validate → Execute\n```\n\n#### Step 1: Gather Feature Requests\n- Customer feedback (support tickets, interviews)\n- Sales requests (CRM pipeline blockers)\n- Technical debt (engineering input)\n- Strategic initiatives (leadership goals)\n\n#### Step 2: Score with RICE\n```bash\n# Input: CSV with features\npython scripts\u002Frice_prioritizer.py features.csv --capacity 20\n```\n\nSee `references\u002Fframeworks.md` for RICE formula and scoring guidelines.\n\n#### Step 3: Analyze Portfolio\nReview the tool output for:\n- Quick wins vs big bets distribution\n- Effort concentration (avoid all XL projects)\n- Strategic alignment gaps\n\n#### Step 4: Generate Roadmap\n- Quarterly capacity allocation\n- Dependency identification\n- Stakeholder communication plan\n\n#### Step 5: Validate Results\n**Before finalizing the roadmap:**\n- [ ] Compare top priorities against strategic goals\n- [ ] Run sensitivity analysis (what if estimates are wrong by 2x?)\n- [ ] Review with key stakeholders for blind spots\n- [ ] Check for missing dependencies between features\n- [ ] Validate effort estimates with engineering\n\n#### Step 6: Execute and Iterate\n- Share roadmap with team\n- Track actual vs estimated effort\n- Revisit priorities quarterly\n- Update RICE inputs based on learnings\n\n---\n\n### Customer Discovery Process\n\n```\nPlan → Recruit → Interview → Analyze → Synthesize → Validate\n```\n\n#### Step 1: Plan Research\n- Define research questions\n- Identify target segments\n- Create interview script (see `references\u002Fframeworks.md`)\n\n#### Step 2: Recruit Participants\n- 5-8 interviews per segment\n- Mix of power users and churned users\n- Incentivize appropriately\n\n#### Step 3: Conduct Interviews\n- Use semi-structured format\n- Focus on problems, not solutions\n- Record with permission\n- Take minimal notes during interview\n\n#### Step 4: Analyze Insights\n```bash\npython scripts\u002Fcustomer_interview_analyzer.py transcript.txt\n```\n\nExtracts:\n- Pain points with severity\n- Feature requests with priority\n- Jobs to be done patterns\n- Sentiment and key themes\n- Notable quotes\n\n#### Step 5: Synthesize Findings\n- Group similar pain points across interviews\n- Identify patterns (3+ mentions = pattern)\n- Map to opportunity areas using Opportunity Solution Tree\n- Prioritize opportunities by frequency and severity\n\n#### Step 6: Validate Solutions\n**Before building:**\n- [ ] Create solution hypotheses (see `references\u002Fframeworks.md`)\n- [ ] Test with low-fidelity prototypes\n- [ ] Measure actual behavior vs stated preference\n- [ ] Iterate based on feedback\n- [ ] Document learnings for future research\n\n---\n\n### PRD Development Process\n\n```\nScope → Draft → Review → Refine → Approve → Track\n```\n\n#### Step 1: Choose Template\nSelect from `references\u002Fprd_templates.md`:\n\n| Template | Use Case | Timeline |\n|----------|----------|----------|\n| Standard PRD | Complex features, cross-team | 6-8 weeks |\n| One-Page PRD | Simple features, single team | 2-4 weeks |\n| Feature Brief | Exploration phase | 1 week |\n| Agile Epic | Sprint-based delivery | Ongoing |\n\n#### Step 2: Draft Content\n- Lead with problem statement\n- Define success metrics upfront\n- Explicitly state out-of-scope items\n- Include wireframes or mockups\n\n#### Step 3: Review Cycle\n- Engineering: feasibility and effort\n- Design: user experience gaps\n- Sales: market validation\n- Support: operational impact\n\n#### Step 4: Refine Based on Feedback\n- Address technical constraints\n- Adjust scope to fit timeline\n- Document trade-off decisions\n\n#### Step 5: Approval and Kickoff\n- Stakeholder sign-off\n- Sprint planning integration\n- Communication to broader team\n\n#### Step 6: Track Execution\n**After launch:**\n- [ ] Compare actual metrics vs targets\n- [ ] Conduct user feedback sessions\n- [ ] Document what worked and what didn't\n- [ ] Update estimation accuracy data\n- [ ] Share learnings with team\n\n---\n\n## Tools Reference\n\n### RICE Prioritizer\n\nAdvanced RICE framework implementation with portfolio analysis.\n\n**Features:**\n- RICE score calculation with configurable weights\n- Portfolio balance analysis (quick wins vs big bets)\n- Quarterly roadmap generation based on capacity\n- Multiple output formats (text, JSON, CSV)\n\n**CSV Input Format:**\n```csv\nname,reach,impact,confidence,effort,description\nUser Dashboard Redesign,5000,high,high,l,Complete redesign\nMobile Push Notifications,10000,massive,medium,m,Add push support\nDark Mode,8000,medium,high,s,Dark theme option\n```\n\n**Commands:**\n```bash\n# Create sample data\npython scripts\u002Frice_prioritizer.py sample\n\n# Run with default capacity (10 person-months)\npython scripts\u002Frice_prioritizer.py features.csv\n\n# Custom capacity\npython scripts\u002Frice_prioritizer.py features.csv --capacity 20\n\n# JSON output for integration\npython scripts\u002Frice_prioritizer.py features.csv --output json\n\n# CSV output for spreadsheets\npython scripts\u002Frice_prioritizer.py features.csv --output csv\n```\n\n---\n\n### Customer Interview Analyzer\n\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 per section\n- Theme and quote extraction\n- Competitor mention detection\n\n**Commands:**\n```bash\n# Analyze interview transcript\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt\n\n# JSON output for aggregation\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n\n---\n\n## Input\u002FOutput Examples\n→ See references\u002Finput-output-examples.md for details\n\n## Integration Points\n\nCompatible tools and platforms:\n\n| Category | Platforms |\n|----------|-----------|\n| **Analytics** | Amplitude, Mixpanel, Google Analytics |\n| **Roadmapping** | ProductBoard, Aha!, Roadmunk, Productplan |\n| **Design** | Figma, Sketch, Miro |\n| **Development** | Jira, Linear, GitHub, Asana |\n| **Research** | Dovetail, UserVoice, Pendo, Maze |\n| **Communication** | Slack, Notion, Confluence |\n\n**JSON export enables integration with most tools:**\n```bash\n# Export for Jira import\npython scripts\u002Frice_prioritizer.py features.csv --output json > priorities.json\n\n# Export for dashboard\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json > insights.json\n```\n\n---\n\n## Common Pitfalls to Avoid\n\n| Pitfall | Description | Prevention |\n|---------|-------------|------------|\n| **Solution-First** | Jumping to features before understanding problems | Start every PRD with problem statement |\n| **Analysis Paralysis** | Over-researching without shipping | Set time-boxes for research phases |\n| **Feature Factory** | Shipping features without measuring impact | Define success metrics before building |\n| **Ignoring Tech Debt** | Not allocating time for platform health | Reserve 20% capacity for maintenance |\n| **Stakeholder Surprise** | Not communicating early and often | Weekly async updates, monthly demos |\n| **Metric Theater** | Optimizing vanity metrics over real value | Tie metrics to user value delivered |\n\n---\n\n## Best Practices\n\n**Writing Great PRDs:**\n- Start with the problem, not the solution\n- Include clear success metrics upfront\n- Explicitly state what's out of scope\n- Use visuals (wireframes, flows, diagrams)\n- Keep technical details in appendix\n- Version control all changes\n\n**Effective Prioritization:**\n- Mix quick wins with strategic bets\n- Consider opportunity cost of delays\n- Account for dependencies between features\n- Buffer 20% for unexpected work\n- Revisit priorities quarterly\n- Communicate decisions with context\n\n**Customer Discovery:**\n- Ask \"why\" five times to find root cause\n- Focus on past behavior, not future intentions\n- Avoid leading questions (\"Wouldn't you love...\")\n- Interview in the user's natural environment\n- Watch for emotional reactions (pain = opportunity)\n- Validate qualitative with quantitative data\n\n---\n\n## Quick Reference\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# Generate sample data\npython scripts\u002Frice_prioritizer.py sample\n\n# JSON outputs\npython scripts\u002Frice_prioritizer.py features.csv --output json\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n\n---\n\n## Reference Documents\n\n- `references\u002Fprd_templates.md` - PRD templates for different contexts\n- `references\u002Fframeworks.md` - Detailed framework documentation (RICE, MoSCoW, Kano, JTBD, etc.)\n","# Product Manager Toolkit\n\nEssential tools and frameworks for modern product management, from discovery to delivery.\n\n---\n\n## Table of Contents\n\n- [Quick Start](#quick-start)\n- [Core Workflows](#core-workflows)\n  - [Feature Prioritization](#feature-prioritization-process)\n  - [Customer Discovery](#customer-discovery-process)\n  - [PRD Development](#prd-development-process)\n- [Tools Reference](#tools-reference)\n  - [RICE Prioritizer](#rice-prioritizer)\n  - [Customer Interview Analyzer](#customer-interview-analyzer)\n- [Input\u002FOutput Examples](#inputoutput-examples)\n- [Integration Points](#integration-points)\n- [Common Pitfalls](#common-pitfalls-to-avoid)\n\n---\n\n## Quick Start\n\n### For Feature Prioritization\n```bash\n# Create sample data file\npython scripts\u002Frice_prioritizer.py sample\n\n# Run prioritization with team capacity\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 sections based on discovery work\n3. Review with engineering for feasibility\n4. Version control in project management tool\n\n---\n\n## Core Workflows\n\n### Feature Prioritization Process\n\n```\nGather → Score → Analyze → Plan → Validate → Execute\n```\n\n#### Step 1: Gather Feature Requests\n- Customer feedback (support tickets, interviews)\n- Sales requests (CRM pipeline blockers)\n- Technical debt (engineering input)\n- Strategic initiatives (leadership goals)\n\n#### Step 2: Score with RICE\n```bash\n# Input: CSV with features\npython scripts\u002Frice_prioritizer.py features.csv --capacity 20\n```\n\nSee `references\u002Fframeworks.md` for RICE formula and scoring guidelines.\n\n#### Step 3: Analyze Portfolio\nReview the tool output for:\n- Quick wins vs big bets distribution\n- Effort concentration (avoid all XL projects)\n- Strategic alignment gaps\n\n#### Step 4: Generate Roadmap\n- Quarterly capacity allocation\n- Dependency identification\n- Stakeholder communication plan\n\n#### Step 5: Validate Results\n**Before finalizing the roadmap:**\n- [ ] Compare top priorities against strategic goals\n- [ ] Run sensitivity analysis (what if estimates are wrong by 2x?)\n- [ ] Review with key stakeholders for blind spots\n- [ ] Check for missing dependencies between features\n- [ ] Validate effort estimates with engineering\n\n#### Step 6: Execute and Iterate\n- Share roadmap with team\n- Track actual vs estimated effort\n- Revisit priorities quarterly\n- Update RICE inputs based on learnings\n\n---\n\n### Customer Discovery Process\n\n```\nPlan → Recruit → Interview → Analyze → Synthesize → Validate\n```\n\n#### Step 1: Plan Research\n- Define research questions\n- Identify target segments\n- Create interview script (see `references\u002Fframeworks.md`)\n\n#### Step 2: Recruit Participants\n- 5-8 interviews per segment\n- Mix of power users and churned users\n- Incentivize appropriately\n\n#### Step 3: Conduct Interviews\n- Use semi-structured format\n- Focus on problems, not solutions\n- Record with permission\n- Take minimal notes during interview\n\n#### Step 4: Analyze Insights\n```bash\npython scripts\u002Fcustomer_interview_analyzer.py transcript.txt\n```\n\nExtracts:\n- Pain points with severity\n- Feature requests with priority\n- Jobs to be done patterns\n- Sentiment and key themes\n- Notable quotes\n\n#### Step 5: Synthesize Findings\n- Group similar pain points across interviews\n- Identify patterns (3+ mentions = pattern)\n- Map to opportunity areas using Opportunity Solution Tree\n- Prioritize opportunities by frequency and severity\n\n#### Step 6: Validate Solutions\n**Before building:**\n- [ ] Create solution hypotheses (see `references\u002Fframeworks.md`)\n- [ ] Test with low-fidelity prototypes\n- [ ] Measure actual behavior vs stated preference\n- [ ] Iterate based on feedback\n- [ ] Document learnings for future research\n\n---\n\n### PRD Development Process\n\n```\nScope → Draft → Review → Refine → Approve → Track\n```\n\n#### Step 1: Choose Template\nSelect from `references\u002Fprd_templates.md`:\n\n| Template | Use Case | Timeline |\n|----------|----------|----------|\n| Standard PRD | Complex features, cross-team | 6-8 weeks |\n| One-Page PRD | Simple features, single team | 2-4 weeks |\n| Feature Brief | Exploration phase | 1 week |\n| Agile Epic | Sprint-based delivery | Ongoing |\n\n#### Step 2: Draft Content\n- Lead with problem statement\n- Define success metrics upfront\n- Explicitly state out-of-scope items\n- Include wireframes or mockups\n\n#### Step 3: Review Cycle\n- Engineering: feasibility and effort\n- Design: user experience gaps\n- Sales: market validation\n- Support: operational impact\n\n#### Step 4: Refine Based on Feedback\n- Address technical constraints\n- Adjust scope to fit timeline\n- Document trade-off decisions\n\n#### Step 5: Approval and Kickoff\n- Stakeholder sign-off\n- Sprint planning integration\n- Communication to broader team\n\n#### Step 6: Track Execution\n**After launch:**\n- [ ] Compare actual metrics vs targets\n- [ ] Conduct user feedback sessions\n- [ ] Document what worked and what didn't\n- [ ] Update estimation accuracy data\n- [ ] Share learnings with team\n\n---\n\n## Tools Reference\n\n### RICE Prioritizer\n\nAdvanced RICE framework implementation with portfolio analysis.\n\n**Features:**\n- RICE score calculation with configurable weights\n- Portfolio balance analysis (quick wins vs big bets)\n- Quarterly roadmap generation based on capacity\n- Multiple output formats (text, JSON, CSV)\n\n**CSV Input Format:**\n```csv\nname,reach,impact,confidence,effort,description\nUser Dashboard Redesign,5000,high,high,l,Complete redesign\nMobile Push Notifications,10000,massive,medium,m,Add push support\nDark Mode,8000,medium,high,s,Dark theme option\n```\n\n**Commands:**\n```bash\n# Create sample data\npython scripts\u002Frice_prioritizer.py sample\n\n# Run with default capacity (10 person-months)\npython scripts\u002Frice_prioritizer.py features.csv\n\n# Custom capacity\npython scripts\u002Frice_prioritizer.py features.csv --capacity 20\n\n# JSON output for integration\npython scripts\u002Frice_prioritizer.py features.csv --output json\n\n# CSV output for spreadsheets\npython scripts\u002Frice_prioritizer.py features.csv --output csv\n```\n\n---\n\n### Customer Interview Analyzer\n\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 per section\n- Theme and quote extraction\n- Competitor mention detection\n\n**Commands:**\n```bash\n# Analyze interview transcript\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt\n\n# JSON output for aggregation\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n\n---\n\n## Input\u002FOutput Examples\n→ See references\u002Finput-output-examples.md for details\n\n## Integration Points\n\nCompatible tools and platforms:\n\n| Category | Platforms |\n|----------|-----------|\n| **Analytics** | Amplitude, Mixpanel, Google Analytics |\n| **Roadmapping** | ProductBoard, Aha!, Roadmunk, Productplan |\n| **Design** | Figma, Sketch, Miro |\n| **Development** | Jira, Linear, GitHub, Asana |\n| **Research** | Dovetail, UserVoice, Pendo, Maze |\n| **Communication** | Slack, Notion, Confluence |\n\n**JSON export enables integration with most tools:**\n```bash\n# Export for Jira import\npython scripts\u002Frice_prioritizer.py features.csv --output json > priorities.json\n\n# Export for dashboard\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json > insights.json\n```\n\n---\n\n## Common Pitfalls to Avoid\n\n| Pitfall | Description | Prevention |\n|---------|-------------|------------|\n| **Solution-First** | Jumping to features before understanding problems | Start every PRD with problem statement |\n| **Analysis Paralysis** | Over-researching without shipping | Set time-boxes for research phases |\n| **Feature Factory** | Shipping features without measuring impact | Define success metrics before building |\n| **Ignoring Tech Debt** | Not allocating time for platform health | Reserve 20% capacity for maintenance |\n| **Stakeholder Surprise** | Not communicating early and often | Weekly async updates, monthly demos |\n| **Metric Theater** | Optimizing vanity metrics over real value | Tie metrics to user value delivered |\n\n---\n\n## Best Practices\n\n**Writing Great PRDs:**\n- Start with the problem, not the solution\n- Include clear success metrics upfront\n- Explicitly state what's out of scope\n- Use visuals (wireframes, flows, diagrams)\n- Keep technical details in appendix\n- Version control all changes\n\n**Effective Prioritization:**\n- Mix quick wins with strategic bets\n- Consider opportunity cost of delays\n- Account for dependencies between features\n- Buffer 20% for unexpected work\n- Revisit priorities quarterly\n- Communicate decisions with context\n\n**Customer Discovery:**\n- Ask \"why\" five times to find root cause\n- Focus on past behavior, not future intentions\n- Avoid leading questions (\"Wouldn't you love...\")\n- Interview in the user's natural environment\n- Watch for emotional reactions (pain = opportunity)\n- Validate qualitative with quantitative data\n\n---\n\n## Quick Reference\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# Generate sample data\npython scripts\u002Frice_prioritizer.py sample\n\n# JSON outputs\npython scripts\u002Frice_prioritizer.py features.csv --output json\npython scripts\u002Fcustomer_interview_analyzer.py interview.txt json\n```\n\n---\n\n## Reference Documents\n\n- `references\u002Fprd_templates.md` - PRD templates for different contexts\n- `references\u002Fframeworks.md` - Detailed framework documentation (RICE, MoSCoW, Kano, JTBD, etc.)\n",{"name":5,"description":7},"main","13d9afadbb6a87d6209fe4bd6ca2bbe4553119ac",".agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit",0,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two","https:\u002F\u002Fkalmeron-two.vercel.app","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch","2026-10-05 12:24:53",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add dahaliztupe-sketch\u002FKalmeron-Two --skill product-manager-toolkit",{"tool":70,"command":71},"bunx","bunx skills add dahaliztupe-sketch\u002FKalmeron-Two --skill product-manager-toolkit",{"tool":73,"command":74},"pnpm","pnpm dlx skills add dahaliztupe-sketch\u002FKalmeron-Two --skill product-manager-toolkit","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002FSKILL.md",true,[78,84,88,94,98,102,108],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"assets\u002Fprd_template.md","ASSET","资产文件",3415,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002Fassets\u002Fprd_template.md",{"path":85,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":86,"sourceHtmlUrl":87},"assets\u002Frice_input_template.csv",130,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002Fassets\u002Frice_input_template.csv",{"path":89,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":92,"sourceHtmlUrl":93},"references\u002Fframeworks.md","REFERENCE","参考文档",16748,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002Freferences\u002Fframeworks.md",{"path":95,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":96,"sourceHtmlUrl":97},"references\u002Finput-output-examples.md",3779,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002Freferences\u002Finput-output-examples.md",{"path":99,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":100,"sourceHtmlUrl":101},"references\u002Fprd_templates.md",7249,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002Freferences\u002Fprd_templates.md",{"path":103,"resourceType":104,"resourceTypeDesc":105,"sizeBytes":106,"sourceHtmlUrl":107},"scripts\u002Fcustomer_interview_analyzer.py","SCRIPT","脚本",17404,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002Fscripts\u002Fcustomer_interview_analyzer.py",{"path":109,"resourceType":104,"resourceTypeDesc":105,"sizeBytes":110,"sourceHtmlUrl":111},"scripts\u002Frice_prioritizer.py",11872,"https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fproduct-skills\u002Fproduct-manager-toolkit\u002Fscripts\u002Frice_prioritizer.py",[113,128,152,171,200,231],{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":117,"sourceHtmlUrl":118,"categories":119,"keywords":123,"publishedAt":51},"01M719SWYD9RGS97HJ69PXWY62","add-new-agent","خطوات تفصيليّة لإضافة وكيل ذكاء اصطناعي جديد إلى منصّة Kalmeron من الفكرة إلى الإنتاج","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002FSKILL.md",[120],{"categoryNo":121,"categoryName":122,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[124,125,126,127],"add","add new agent","new","new agent",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":143,"publishedAt":51},"01M719SSKNBA7T5NS7V6DP0PX4","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[134,137,140],{"categoryNo":135,"categoryName":136,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":138,"categoryName":139,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":141,"categoryName":142,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000036","内容创作者",[144,145,126,146,147,148,149,150,151],"writing skills","writing","when","work","editing","deployment","use","Existing",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":160,"publishedAt":51},"01M719SRFDNKA3044QD3FYZ05R","writing-plans","Use when you have a spec or requirements for a multi-step task, before touching code","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwriting-plans\u002FSKILL.md",[158,159],{"categoryNo":138,"categoryName":139,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":141,"categoryName":142,"taxonomyType":25,"taxonomyTypeDesc":26},[161,145,162,163,164,165,146,150,166,167,168,169,170],"writing plans","plans","code","requirements","you","for","task","multi","spec","multi-step task",{"skillNo":172,"name":173,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":183,"publishedAt":51},"01M719SPN5FM1JYJSR9DGJQPZ0","web-design-guidelines","Review UI code for Web Interface Guidelines compliance. Use when asked to \"review my UI\", \"check accessibility\", \"audit design\", \"review UX\", or \"check my site against best practices\".","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fweb-design-guidelines\u002FSKILL.md",[177,180],{"categoryNo":178,"categoryName":179,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":181,"categoryName":182,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000032","设计师",[184,185,186,187,188,189,190,191,192,193,194,163,166,195,196,197,150,146,198,199],"web design","web design guidelines","web","design","guidelines","review","accessibility","ux","audit","compliance","check","vercel","interface","web interface guidelines","best practices","file",{"skillNo":201,"name":202,"nameZh":6,"description":203,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":204,"licenseFileUrl":6,"sourceHtmlUrl":205,"categories":206,"keywords":211,"publishedAt":51},"01M719SK11T05QYVPTWWYMYY5B","vitest","Set up Vitest testing in any project — detects project type (Cloudflare Workers, React, Node), generates vitest.config.ts, test setup, utilities, and sample tests. Also covers mocking patterns, coverage config, workspace setup, and Jest migration. Trigger with 'set up vitest', 'add tests', 'configure vitest', 'migrate from jest', 'vitest config', 'add unit tests', or 'testing setup'.","MIT","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fvitest\u002FSKILL.md",[207,208],{"categoryNo":135,"categoryName":136,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":209,"categoryName":210,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",[202,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230],"cloudflare","cloudflare workers","config","node","sample","react","jest","migrate","configure","Utilities","up","testing","workspace setup","project","unit","SET","coverage","test setup","patterns",{"skillNo":232,"name":233,"nameZh":6,"description":234,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":235,"categories":236,"keywords":237,"publishedAt":51},"01M719SGV9R1N88QWAB7Y925HD","verification-loops","Use when about to claim work is complete, fixed, or passing, before committing or creating PRs. Requires running verification commands and confirming output before making any success claims. Evidence before assertions always.","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fverification-loops\u002FSKILL.md",[],[238,239,240,241,150,242,243,244,245,246,247,248,147,249,250,146],"loops","verification","verification loops","claim","assertions","prs","complete","evidence","running","commands","about","claims","output"]