[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KQ51QHJQGAHFSZCBE0SCGQ":3,"skill-same:01M6KQ51QHJQGAHFSZCBE0SCGQ":85},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":58,"commitSha":59,"skillDirectory":60,"forksCount":14,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":6,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6KQ51QHJQGAHFSZCBE0SCGQ","programmatic-seo",null,"When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions \"programmatic SEO,\" \"template pages,\" \"pages at scale,\" \"directory pages,\" \"location pages,\" \"[keyword] + [city] pages,\" \"comparison pages,\" \"integration pages,\" or \"building many pages for SEO.\" For auditing existing SEO issues, see seo-audit.","Boboegg\u002Fai-resources","Boboegg","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F171472260?v=4","01M6KMJYEA4SVHDTXRTH3HZANA","曾柏儒","01M6KMJYJ4231XB9W048VZ8RBB",1,"MIT","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing-skill\u002Fprogrammatic-seo\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"programmatic","programmatic seo","seo","template","Existing","for","at","comparison","scale","pages","location","use","directory","marketing","templates","data","integration","audit","issues","create","2026-11-10 10:12:30",false,"---\nname: \"programmatic-seo\"\ndescription: When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions \"programmatic SEO,\" \"template pages,\" \"pages at scale,\" \"directory pages,\" \"location pages,\" \"[keyword] + [city] pages,\" \"comparison pages,\" \"integration pages,\" or \"building many pages for SEO.\" For auditing existing SEO issues, see seo-audit.\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: marketing\n  updated: 2026-03-06\n---\n\n# Programmatic SEO\n\nYou are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.\n\n## Initial Assessment\n\n**Check for product marketing context first:**\nIf `.claude\u002Fproduct-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.\n\nBefore designing a programmatic SEO strategy, understand:\n\n1. **Business Context**\n   - What's the product\u002Fservice?\n   - Who is the target audience?\n   - What's the conversion goal for these pages?\n\n2. **Opportunity Assessment**\n   - What search patterns exist?\n   - How many potential pages?\n   - What's the search volume distribution?\n\n3. **Competitive Landscape**\n   - Who ranks for these terms now?\n   - What do their pages look like?\n   - Can you realistically compete?\n\n---\n\n## Core Principles\n\n### 1. Unique Value Per Page\n- Every page must provide value specific to that page\n- Not just swapped variables in a template\n- Maximize unique content—the more differentiated, the better\n\n### 2. Proprietary Data Wins\nHierarchy of data defensibility:\n1. Proprietary (you created it)\n2. Product-derived (from your users)\n3. User-generated (your community)\n4. Licensed (exclusive access)\n5. Public (anyone can use—weakest)\n\n### 3. Clean URL Structure\n**Always use subfolders, not subdomains**:\n- Good: `yoursite.com\u002Ftemplates\u002Fresume\u002F`\n- Bad: `templates.yoursite.com\u002Fresume\u002F`\n\n### 4. Genuine Search Intent Match\nPages must actually answer what people are searching for.\n\n### 5. Quality Over Quantity\nBetter to have 100 great pages than 10,000 thin ones.\n\n### 6. Avoid Google Penalties\n- No doorway pages\n- No keyword stuffing\n- No duplicate content\n- Genuine utility for users\n\n---\n\n## The 12 Playbooks (Overview)\n\n| Playbook | Pattern | Example |\n|----------|---------|---------|\n| Templates | \"[Type] template\" | \"resume template\" |\n| Curation | \"best [category]\" | \"best website builders\" |\n| Conversions | \"[X] to [Y]\" | \"$10 USD to GBP\" |\n| Comparisons | \"[X] vs [Y]\" | \"webflow vs wordpress\" |\n| Examples | \"[type] examples\" | \"landing page examples\" |\n| Locations | \"[service] in [location]\" | \"dentists in austin\" |\n| Personas | \"[product] for [audience]\" | \"crm for real estate\" |\n| Integrations | \"[product A] [product B] integration\" | \"slack asana integration\" |\n| Glossary | \"what is [term]\" | \"what is pSEO\" |\n| Translations | Content in multiple languages | Localized content |\n| Directory | \"[category] tools\" | \"ai copywriting tools\" |\n| Profiles | \"[entity name]\" | \"stripe ceo\" |\n\n**For detailed playbook implementation**: See [references\u002Fplaybooks.md](references\u002Fplaybooks.md)\n\n---\n\n## Choosing Your Playbook\n\n| If you have... | Consider... |\n|----------------|-------------|\n| Proprietary data | Directories, Profiles |\n| Product with integrations | Integrations |\n| Design\u002Fcreative product | Templates, Examples |\n| Multi-segment audience | Personas |\n| Local presence | Locations |\n| Tool or utility product | Conversions |\n| Content\u002Fexpertise | Glossary, Curation |\n| Competitor landscape | Comparisons |\n\nYou can layer multiple playbooks (e.g., \"Best coworking spaces in San Diego\").\n\n---\n\n## Implementation Framework\n\n### 1. Keyword Pattern Research\n\n**Identify the pattern:**\n- What's the repeating structure?\n- What are the variables?\n- How many unique combinations exist?\n\n**Validate demand:**\n- Aggregate search volume\n- Volume distribution (head vs. long tail)\n- Trend direction\n\n### 2. Data Requirements\n\n**Identify data sources:**\n- What data populates each page?\n- Is it first-party, scraped, licensed, public?\n- How is it updated?\n\n### 3. Template Design\n\n**Page structure:**\n- Header with target keyword\n- Unique intro (not just variables swapped)\n- Data-driven sections\n- Related pages \u002F internal links\n- CTAs appropriate to intent\n\n**Ensuring uniqueness:**\n- Each page needs unique value\n- Conditional content based on data\n- Original insights\u002Fanalysis per page\n\n### 4. Internal Linking Architecture\n\n**Hub and spoke model:**\n- Hub: Main category page\n- Spokes: Individual programmatic pages\n- Cross-links between related spokes\n\n**Avoid orphan pages:**\n- Every page reachable from main site\n- XML sitemap for all pages\n- Breadcrumbs with structured data\n\n### 5. Indexation Strategy\n\n- Prioritize high-volume patterns\n- Noindex very thin variations\n- Manage crawl budget thoughtfully\n- Separate sitemaps by page type\n\n---\n\n## Quality Checks\n\n### Pre-Launch Checklist\n\n**Content quality:**\n- [ ] Each page provides unique value\n- [ ] Answers search intent\n- [ ] Readable and useful\n\n**Technical SEO:**\n- [ ] Unique titles and meta descriptions\n- [ ] Proper heading structure\n- [ ] Schema markup implemented\n- [ ] Page speed acceptable\n\n**Internal linking:**\n- [ ] Connected to site architecture\n- [ ] Related pages linked\n- [ ] No orphan pages\n\n**Indexation:**\n- [ ] In XML sitemap\n- [ ] Crawlable\n- [ ] No conflicting noindex\n\n### Post-Launch Monitoring\n\nTrack: Indexation rate, Rankings, Traffic, Engagement, Conversion\n\nWatch for: Thin content warnings, Ranking drops, Manual actions, Crawl errors\n\n---\n\n## Common Mistakes\n\n- **Thin content**: Just swapping city names in identical content\n- **Keyword cannibalization**: Multiple pages targeting same keyword\n- **Over-generation**: Creating pages with no search demand\n- **Poor data quality**: Outdated or incorrect information\n- **Ignoring UX**: Pages exist for Google, not users\n\n---\n\n## Output Format\n\n### Strategy Document\n- Opportunity analysis\n- Implementation plan\n- Content guidelines\n\n### Page Template\n- URL structure\n- Title\u002Fmeta templates\n- Content outline\n- Schema markup\n\n---\n\n## Task-Specific Questions\n\n1. What keyword patterns are you targeting?\n2. What data do you have (or can acquire)?\n3. How many pages are you planning?\n4. What does your site authority look like?\n5. Who currently ranks for these terms?\n6. What's your technical stack?\n\n---\n\n## Related Skills\n\n- **seo-audit** — WHEN: programmatic pages are live and you need to verify indexation, detect thin content penalties, or diagnose ranking drops across the page set. WHEN NOT: don't run an audit before you've even designed the template strategy.\n- **schema-markup** — WHEN: the chosen playbook benefits from structured data (e.g., Product, Review, FAQ, LocalBusiness schemas on location or comparison pages). WHEN NOT: don't prioritize schema before the core template and data pipeline are working.\n- **competitor-alternatives** — WHEN: the playbook selected is Comparisons (\"[X] vs [Y]\") or Alternatives; that skill has dedicated comparison page frameworks. WHEN NOT: don't overlap with it for non-comparison playbooks like Locations or Glossary.\n- **content-strategy** — WHEN: user needs to decide which pSEO playbook to pursue or how it fits into a broader editorial strategy. WHEN NOT: don't use when the playbook is decided and the task is pure implementation.\n- **site-architecture** — WHEN: the pSEO build is large (500+ pages) and hub-and-spoke or crawl budget management decisions need explicit architectural planning. WHEN NOT: skip for small pSEO pilots (\u003C100 pages) where default hub-and-spoke is sufficient.\n- **marketing-context** — WHEN: always check `.claude\u002Fproduct-marketing-context.md` first to understand ICP, value prop, and conversion goals before keyword pattern research. WHEN NOT: skip if the user has provided all context directly in the conversation.\n\n---\n\n## Communication\n\nAll programmatic SEO output follows this quality standard:\n- Lead with the **Opportunity Analysis** — estimated page count, aggregate search volume, and data source feasibility\n- Strategy documents use the **Strategy → Template → Checklist** structure consistently\n- Every playbook recommendation is paired with a real-world example and a data source suggestion\n- Call out thin-content risk explicitly when the data source is public\u002Fscraped\n- Pre-launch checklists are always included before any \"go build it\" instruction\n- Post-launch monitoring metrics are defined before launch, not after problems appear\n\n---\n\n## Proactive Triggers\n\nAutomatically surface programmatic-seo when:\n\n1. **\"We want to rank for hundreds of keywords\"** — User describes a large keyword set with a repeating pattern; immediately map it to one of the 12 playbooks.\n2. **Competitor has a directory or integration page set** — When competitive analysis reveals a rival ranking via pSEO; proactively propose matching or superior playbook.\n3. **Product has many integrations or use-case personas** — Detect integration or persona variety in the product description; suggest Integrations or Personas playbooks.\n4. **Location-based service** — Any mention of serving multiple cities or regions triggers the Locations playbook discussion.\n5. **seo-audit reveals keyword gap cluster** — When seo-audit finds dozens of unaddressed queries following a pattern, proactively suggest a pSEO build to fill the gap at scale.\n\n---\n\n## Output Artifacts\n\n| Artifact | Format | Description |\n|----------|--------|-------------|\n| Opportunity Analysis | Markdown table | Keyword patterns × estimated volume × data source × difficulty rating |\n| Playbook Selection Matrix | Table | If\u002Fthen mapping of business context to recommended playbook with rationale |\n| Page Template Spec | Markdown with annotated sections | URL pattern, title\u002Fmeta templates, content block structure, unique value rules |\n| Pre-Launch Checklist | Checkbox list | Content quality, technical SEO, internal linking, indexation gates |\n| Post-Launch Monitoring Plan | Table | Metrics to track × tools × alert thresholds × review cadence |\n","# Programmatic SEO\n\nYou are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.\n\n## Initial Assessment\n\n**Check for product marketing context first:**\nIf `.claude\u002Fproduct-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.\n\nBefore designing a programmatic SEO strategy, understand:\n\n1. **Business Context**\n   - What's the product\u002Fservice?\n   - Who is the target audience?\n   - What's the conversion goal for these pages?\n\n2. **Opportunity Assessment**\n   - What search patterns exist?\n   - How many potential pages?\n   - What's the search volume distribution?\n\n3. **Competitive Landscape**\n   - Who ranks for these terms now?\n   - What do their pages look like?\n   - Can you realistically compete?\n\n---\n\n## Core Principles\n\n### 1. Unique Value Per Page\n- Every page must provide value specific to that page\n- Not just swapped variables in a template\n- Maximize unique content—the more differentiated, the better\n\n### 2. Proprietary Data Wins\nHierarchy of data defensibility:\n1. Proprietary (you created it)\n2. Product-derived (from your users)\n3. User-generated (your community)\n4. Licensed (exclusive access)\n5. Public (anyone can use—weakest)\n\n### 3. Clean URL Structure\n**Always use subfolders, not subdomains**:\n- Good: `yoursite.com\u002Ftemplates\u002Fresume\u002F`\n- Bad: `templates.yoursite.com\u002Fresume\u002F`\n\n### 4. Genuine Search Intent Match\nPages must actually answer what people are searching for.\n\n### 5. Quality Over Quantity\nBetter to have 100 great pages than 10,000 thin ones.\n\n### 6. Avoid Google Penalties\n- No doorway pages\n- No keyword stuffing\n- No duplicate content\n- Genuine utility for users\n\n---\n\n## The 12 Playbooks (Overview)\n\n| Playbook | Pattern | Example |\n|----------|---------|---------|\n| Templates | \"[Type] template\" | \"resume template\" |\n| Curation | \"best [category]\" | \"best website builders\" |\n| Conversions | \"[X] to [Y]\" | \"$10 USD to GBP\" |\n| Comparisons | \"[X] vs [Y]\" | \"webflow vs wordpress\" |\n| Examples | \"[type] examples\" | \"landing page examples\" |\n| Locations | \"[service] in [location]\" | \"dentists in austin\" |\n| Personas | \"[product] for [audience]\" | \"crm for real estate\" |\n| Integrations | \"[product A] [product B] integration\" | \"slack asana integration\" |\n| Glossary | \"what is [term]\" | \"what is pSEO\" |\n| Translations | Content in multiple languages | Localized content |\n| Directory | \"[category] tools\" | \"ai copywriting tools\" |\n| Profiles | \"[entity name]\" | \"stripe ceo\" |\n\n**For detailed playbook implementation**: See [references\u002Fplaybooks.md](references\u002Fplaybooks.md)\n\n---\n\n## Choosing Your Playbook\n\n| If you have... | Consider... |\n|----------------|-------------|\n| Proprietary data | Directories, Profiles |\n| Product with integrations | Integrations |\n| Design\u002Fcreative product | Templates, Examples |\n| Multi-segment audience | Personas |\n| Local presence | Locations |\n| Tool or utility product | Conversions |\n| Content\u002Fexpertise | Glossary, Curation |\n| Competitor landscape | Comparisons |\n\nYou can layer multiple playbooks (e.g., \"Best coworking spaces in San Diego\").\n\n---\n\n## Implementation Framework\n\n### 1. Keyword Pattern Research\n\n**Identify the pattern:**\n- What's the repeating structure?\n- What are the variables?\n- How many unique combinations exist?\n\n**Validate demand:**\n- Aggregate search volume\n- Volume distribution (head vs. long tail)\n- Trend direction\n\n### 2. Data Requirements\n\n**Identify data sources:**\n- What data populates each page?\n- Is it first-party, scraped, licensed, public?\n- How is it updated?\n\n### 3. Template Design\n\n**Page structure:**\n- Header with target keyword\n- Unique intro (not just variables swapped)\n- Data-driven sections\n- Related pages \u002F internal links\n- CTAs appropriate to intent\n\n**Ensuring uniqueness:**\n- Each page needs unique value\n- Conditional content based on data\n- Original insights\u002Fanalysis per page\n\n### 4. Internal Linking Architecture\n\n**Hub and spoke model:**\n- Hub: Main category page\n- Spokes: Individual programmatic pages\n- Cross-links between related spokes\n\n**Avoid orphan pages:**\n- Every page reachable from main site\n- XML sitemap for all pages\n- Breadcrumbs with structured data\n\n### 5. Indexation Strategy\n\n- Prioritize high-volume patterns\n- Noindex very thin variations\n- Manage crawl budget thoughtfully\n- Separate sitemaps by page type\n\n---\n\n## Quality Checks\n\n### Pre-Launch Checklist\n\n**Content quality:**\n- [ ] Each page provides unique value\n- [ ] Answers search intent\n- [ ] Readable and useful\n\n**Technical SEO:**\n- [ ] Unique titles and meta descriptions\n- [ ] Proper heading structure\n- [ ] Schema markup implemented\n- [ ] Page speed acceptable\n\n**Internal linking:**\n- [ ] Connected to site architecture\n- [ ] Related pages linked\n- [ ] No orphan pages\n\n**Indexation:**\n- [ ] In XML sitemap\n- [ ] Crawlable\n- [ ] No conflicting noindex\n\n### Post-Launch Monitoring\n\nTrack: Indexation rate, Rankings, Traffic, Engagement, Conversion\n\nWatch for: Thin content warnings, Ranking drops, Manual actions, Crawl errors\n\n---\n\n## Common Mistakes\n\n- **Thin content**: Just swapping city names in identical content\n- **Keyword cannibalization**: Multiple pages targeting same keyword\n- **Over-generation**: Creating pages with no search demand\n- **Poor data quality**: Outdated or incorrect information\n- **Ignoring UX**: Pages exist for Google, not users\n\n---\n\n## Output Format\n\n### Strategy Document\n- Opportunity analysis\n- Implementation plan\n- Content guidelines\n\n### Page Template\n- URL structure\n- Title\u002Fmeta templates\n- Content outline\n- Schema markup\n\n---\n\n## Task-Specific Questions\n\n1. What keyword patterns are you targeting?\n2. What data do you have (or can acquire)?\n3. How many pages are you planning?\n4. What does your site authority look like?\n5. Who currently ranks for these terms?\n6. What's your technical stack?\n\n---\n\n## Related Skills\n\n- **seo-audit** — WHEN: programmatic pages are live and you need to verify indexation, detect thin content penalties, or diagnose ranking drops across the page set. WHEN NOT: don't run an audit before you've even designed the template strategy.\n- **schema-markup** — WHEN: the chosen playbook benefits from structured data (e.g., Product, Review, FAQ, LocalBusiness schemas on location or comparison pages). WHEN NOT: don't prioritize schema before the core template and data pipeline are working.\n- **competitor-alternatives** — WHEN: the playbook selected is Comparisons (\"[X] vs [Y]\") or Alternatives; that skill has dedicated comparison page frameworks. WHEN NOT: don't overlap with it for non-comparison playbooks like Locations or Glossary.\n- **content-strategy** — WHEN: user needs to decide which pSEO playbook to pursue or how it fits into a broader editorial strategy. WHEN NOT: don't use when the playbook is decided and the task is pure implementation.\n- **site-architecture** — WHEN: the pSEO build is large (500+ pages) and hub-and-spoke or crawl budget management decisions need explicit architectural planning. WHEN NOT: skip for small pSEO pilots (\u003C100 pages) where default hub-and-spoke is sufficient.\n- **marketing-context** — WHEN: always check `.claude\u002Fproduct-marketing-context.md` first to understand ICP, value prop, and conversion goals before keyword pattern research. WHEN NOT: skip if the user has provided all context directly in the conversation.\n\n---\n\n## Communication\n\nAll programmatic SEO output follows this quality standard:\n- Lead with the **Opportunity Analysis** — estimated page count, aggregate search volume, and data source feasibility\n- Strategy documents use the **Strategy → Template → Checklist** structure consistently\n- Every playbook recommendation is paired with a real-world example and a data source suggestion\n- Call out thin-content risk explicitly when the data source is public\u002Fscraped\n- Pre-launch checklists are always included before any \"go build it\" instruction\n- Post-launch monitoring metrics are defined before launch, not after problems appear\n\n---\n\n## Proactive Triggers\n\nAutomatically surface programmatic-seo when:\n\n1. **\"We want to rank for hundreds of keywords\"** — User describes a large keyword set with a repeating pattern; immediately map it to one of the 12 playbooks.\n2. **Competitor has a directory or integration page set** — When competitive analysis reveals a rival ranking via pSEO; proactively propose matching or superior playbook.\n3. **Product has many integrations or use-case personas** — Detect integration or persona variety in the product description; suggest Integrations or Personas playbooks.\n4. **Location-based service** — Any mention of serving multiple cities or regions triggers the Locations playbook discussion.\n5. **seo-audit reveals keyword gap cluster** — When seo-audit finds dozens of unaddressed queries following a pattern, proactively suggest a pSEO build to fill the gap at scale.\n\n---\n\n## Output Artifacts\n\n| Artifact | Format | Description |\n|----------|--------|-------------|\n| Opportunity Analysis | Markdown table | Keyword patterns × estimated volume × data source × difficulty rating |\n| Playbook Selection Matrix | Table | If\u002Fthen mapping of business context to recommended playbook with rationale |\n| Page Template Spec | Markdown with annotated sections | URL pattern, title\u002Fmeta templates, content block structure, unique value rules |\n| Pre-Launch Checklist | Checkbox list | Content quality, technical SEO, internal linking, indexation gates |\n| Post-Launch Monitoring Plan | Table | Metrics to track × tools × alert thresholds × review cadence |\n",{"name":5,"license":15,"metadata":54,"description":7},{"author":55,"updated":56,"version":57,"category":42},"Alireza Rezvani",1772755200000,"1.0.0","main","cfe69e68b9b427ce0b098a2306c9898096ef0ac2","claude-skills\u002Fmarketing-skill\u002Fprogrammatic-seo","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources","https:\u002F\u002Fgithub.com\u002FBoboegg","National Chung Cheng University Student","2026-04-03 12:18:40",{"source":8,"skillName":5,"commands":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add Boboegg\u002Fai-resources --skill programmatic-seo",{"tool":71,"command":72},"bunx","bunx skills add Boboegg\u002Fai-resources --skill programmatic-seo",{"tool":74,"command":75},"pnpm","pnpm dlx skills add Boboegg\u002Fai-resources --skill programmatic-seo","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing-skill\u002Fprogrammatic-seo\u002FSKILL.md",true,[79],{"path":80,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":83,"sourceHtmlUrl":84},"scripts\u002Furl_pattern_generator.py","SCRIPT","脚本",5792,"https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing-skill\u002Fprogrammatic-seo\u002Fscripts\u002Furl_pattern_generator.py",[86,115,141,163,186,218],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":95,"publishedAt":49},"01M6KQBV2F4EG8YV2KET152Y5C","ra-qm-skills","12 regulatory & QM agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. ISO 13485 QMS, MDR 2017\u002F745, FDA 510(k)\u002FPMA, ISO 27001 ISMS, GDPR\u002FDSGVO, risk management (ISO 14971), CAPA, document control, auditing. Python tools (stdlib-only).","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fra-qm-team\u002FSKILL.md",[92],{"categoryNo":93,"categoryName":94,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师",[96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,34],"ra qm skills","qm","cli","gemini","python","codex","code","gdpr","risk","quality","cursor","regulatory","only","document","control","iso","iso 14971","ISO 13485","codex-cli",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":121,"publishedAt":49},"01M6KQB7AQ2V5E25R7MNWW8QEW","scrum-master","Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fproject-management\u002Fscrum-master\u002FSKILL.md",[],[122,123,124,125,126,44,127,128,129,130,131,132,133,134,135,136,137,138,139,140],"Scrum Master","scrum","master","jira","agile","analysis","Charts","team","project-management","reports","scoring","velocity","project","data-analysis","scripts","sprint","advanced","action","data-driven",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":151,"publishedAt":49},"01M6KQA3FMM7WRABSEDFVTFV1G","pm-skills","6 project management agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Senior PM, scrum master, Jira expert (JQL), Confluence expert, Atlassian admin, template creator. MCP integration for live Jira\u002FConfluence automation.","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fproject-management\u002FSKILL.md",[147,150],{"categoryNo":148,"categoryName":149,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":93,"categoryName":94,"taxonomyType":26,"taxonomyTypeDesc":27},[152,153,154,155,98,156,157,125,102,126,158,32,130,159,123,124,160,134,161,162],"pm skills","pm","MCP","openclaw","gemini cli","template creator","project management","atlassian","expert","live","jql",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":173,"publishedAt":49},"01M6KQ95X5FVDMW0CS2CDC9Y8S","research-summarizer","Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fproduct-team\u002Fresearch-summarizer\u002FSKILL.md",[169,172],{"categoryNo":170,"categoryName":171,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":148,"categoryName":149,"taxonomyType":21,"taxonomyTypeDesc":22},[174,175,176,155,98,99,156,177,178,48,102,179,180,181,131,182,183,184,185,34],"research","research summarizer","summarizer","documentation","documents","dev","product","Citations","agent skill","sources","papers","briefs",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":202,"publishedAt":49},"01M6KQ7P10V92ZA3WAP0KMG5ZW","code-to-prd","Reverse-engineer any codebase into a complete Product Requirements Document (PRD).\nAnalyzes routes, components, state management, API integrations, and user interactions to produce\nbusiness-readable documentation detailed enough for engineers or AI agents to fully reconstruct\nevery page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt),\nbackend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications.\n\nTrigger when users mention: generate PRD, reverse-engineer requirements, code to documentation,\nextract product specs from code, document page logic, analyze page fields and interactions,\ncreate a functional inventory, write requirements from an existing codebase, document API endpoints,\nor analyze backend routes.","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fproduct-team\u002Fcode-to-prd\u002FSKILL.md",[192,195,198,199],{"categoryNo":193,"categoryName":194,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":196,"categoryName":197,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":93,"categoryName":94,"taxonomyType":26,"taxonomyTypeDesc":27},{"categoryNo":200,"categoryName":201,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000031","产品经理",[203,102,204,205,206,207,208,48,209,210,211,212,213,214,109,215,216,217,34,33],"to prd","prd","code to prd","frontend","components","react","generate","vue","applications","analyze","write","engineer","frameworks","express","functional",{"skillNo":219,"name":220,"nameZh":6,"description":221,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":222,"categories":223,"keywords":229,"publishedAt":49},"01M6KQ7A5WBZMQAM7Z37F77B4X","product-skills","10 product agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. PM toolkit (RICE), agile PO, product strategist (OKR), UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, research summarizer. Python tools (stdlib-only).","https:\u002F\u002Fgithub.com\u002FBoboegg\u002Fai-resources\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fproduct-team\u002FSKILL.md",[224,225,226],{"categoryNo":93,"categoryName":94,"taxonomyType":26,"taxonomyTypeDesc":27},{"categoryNo":200,"categoryName":201,"taxonomyType":26,"taxonomyTypeDesc":27},{"categoryNo":227,"categoryName":228,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000032","设计师",[180,230,231,155,98,156,232,102,126,233,234,235,236,175,237,108,153,238,176,239],"product skills","design","design system","ux","ui","product strategist","Tools","rice","teardown","competitive"]