[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6NZC97QZN83S453JWCPCKRE":3,"skill-same:01M6NZC97QZN83S453JWCPCKRE":87},{"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":31,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":67,"commitSha":68,"skillDirectory":69,"forksCount":70,"repositoryHtmlUrl":71,"repositoryHomepageUrl":6,"ownerHtmlUrl":72,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":73,"install":74,"resources":86},"01M6NZC97QZN83S453JWCPCKRE","seo-content",null,"Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says \"content quality\", \"E-E-A-T\", \"content analysis\", \"readability check\", \"thin content\", or \"content audit\".","mattonweb\u002Fai-assistant-foundry","mattonweb","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F2309734?v=4","01M6NQYCY846TKYN2ZCRS71WQ7","Matt Johnson","01M6NQYD2NPAQEFVD8TW9W0SVX",1,"MIT","https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Freview-seo\u002Fsickn33\u002Fseo-content\u002FSKILL.md",[18,23,28],{"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",{"categoryNo":29,"categoryName":30,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000036","内容创作者",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"content","seo","seo content","use","content analysis","unknown","true","e-e-a-t","URL","with","readiness","readability","github","read","check","Bash","analysis","audit","assessment","content audit","2026-11-10 10:12:30",false,"---\nname: seo-content\ndescription: >\n  Content quality and E-E-A-T analysis with AI citation readiness assessment.\n  Use when user says \"content quality\", \"E-E-A-T\", \"content analysis\",\n  \"readability check\", \"thin content\", or \"content audit\".\nrisk: unknown\nsource: \"https:\u002F\u002Fgithub.com\u002FAgriciDaniel\u002Fclaude-seo\"\ndate_added: \"2026-03-21\"\nuser-invokable: true\nargument-hint: \"[url]\"\nallowed-tools:\n  - Read\n  - Grep\n  - Glob\n  - Bash\n  - WebFetch\n---\n\n# Content Quality & E-E-A-T Analysis\n\n## When to Use\n\n- Use when auditing content quality, readability, thin content risk, or E-E-A-T signals.\n- Use when the user wants a content-focused SEO review rather than a full technical audit.\n- Use when checking whether content is structured and trustworthy enough for search and AI citation.\n\n## E-E-A-T Framework (updated Sept 2025 QRG)\n\nRead `seo\u002Freferences\u002Feeat-framework.md` for full criteria.\n\n### Experience (first-hand signals)\n- Original research, case studies, before\u002Fafter results\n- Personal anecdotes, process documentation\n- Unique data, proprietary insights\n- Photos\u002Fvideos from direct experience\n\n### Expertise\n- Author credentials, certifications, bio\n- Professional background relevant to topic\n- Technical depth appropriate for audience\n- Accurate, well-sourced claims\n\n### Authoritativeness\n- External citations, backlinks from authoritative sources\n- Brand mentions, industry recognition\n- Published in recognized outlets\n- Cited by other experts\n\n### Trustworthiness\n- Contact information, physical address\n- Privacy policy, terms of service\n- Customer testimonials, reviews\n- Date stamps, transparent corrections\n- Secure site (HTTPS)\n\n## Content Metrics\n\n### Word Count Analysis\nCompare against page type minimums:\n| Page Type | Minimum |\n|-----------|---------|\n| Homepage | 500 |\n| Service page | 800 |\n| Blog post | 1,500 |\n| Product page | 300+ (400+ for complex products) |\n| Location page | 500-600 |\n\n> **Important:** These are **topical coverage floors**, not targets. Google has confirmed word count is NOT a direct ranking factor. The goal is comprehensive topical coverage; a 500-word page that thoroughly answers the query will outrank a 2,000-word page that doesn't. Use these as guidelines for adequate coverage depth, not rigid requirements.\n\n### Readability\n- Flesch Reading Ease: target 60-70 for general audience\n\n> **Note:** Flesch Reading Ease is a useful proxy for content accessibility but is NOT a direct Google ranking factor. John Mueller has confirmed Google does not use basic readability scores for ranking. Yoast deprioritized Flesch scores in v19.3. Use readability analysis as a content quality indicator, not as an SEO metric to optimize directly.\n- Grade level: match target audience\n- Sentence length: average 15-20 words\n- Paragraph length: 2-4 sentences\n\n### Keyword Optimization\n- Primary keyword in title, H1, first 100 words\n- Natural density (1-3%)\n- Semantic variations present\n- No keyword stuffing\n\n### Content Structure\n- Logical heading hierarchy (H1 -> H2 -> H3)\n- Scannable sections with descriptive headings\n- Bullet\u002Fnumbered lists where appropriate\n- Table of contents for long-form content\n\n### Multimedia\n- Relevant images with proper alt text\n- Videos where appropriate\n- Infographics for complex data\n- Charts\u002Fgraphs for statistics\n\n### Internal Linking\n- 3-5 relevant internal links per 1000 words\n- Descriptive anchor text\n- Links to related content\n- No orphan pages\n\n### External Linking\n- Cite authoritative sources\n- Open in new tab for user experience\n- Reasonable count (not excessive)\n\n## AI Content Assessment (Sept 2025 QRG addition)\n\nGoogle's raters now formally assess whether content appears AI-generated.\n\n### Acceptable AI Content\n- Demonstrates genuine E-E-A-T\n- Provides unique value\n- Has human oversight and editing\n- Contains original insights\n\n### Low-Quality AI Content Markers\n- Generic phrasing, lack of specificity\n- No original insight\n- Repetitive structure across pages\n- No author attribution\n- Factual inaccuracies\n\n> **Helpful Content System (March 2024):** The Helpful Content System was merged into Google's core ranking algorithm during the March 2024 core update. It no longer operates as a standalone classifier. Helpfulness signals are now weighted within every core update. The same principles apply (people-first content, demonstrating E-E-A-T, satisfying user intent), but enforcement is continuous rather than through separate HCU updates.\n\n## AI Citation Readiness (GEO signals)\n\nOptimize for AI search engines (ChatGPT, Perplexity, Google AI Overviews):\n\n- Clear, quotable statements with statistics\u002Ffacts\n- Structured data (especially for data points)\n- Strong heading hierarchy (H1->H2->H3 flow)\n- Answer-first formatting for key questions\n- Tables and lists for comparative data\n- Clear attribution and source citations\n\n### AI Search Visibility & GEO (2025-2026)\n\n**Google AI Mode** launched publicly in May 2025 as a separate tab in Google Search, available in 180+ countries. Unlike AI Overviews (which appear above organic results), AI Mode provides a fully conversational search experience with **zero organic blue links**, making AI citation the only visibility mechanism.\n\n**Key optimization strategies for AI citation:**\n- **Structured answers:** Clear question-answer formats, definition patterns, and step-by-step instructions that AI systems can extract and cite\n- **First-party data:** Original research, statistics, case studies, and unique datasets are highly cited by AI systems\n- **Schema markup:** Article, FAQ (for non-Google AI platforms), and structured content schemas help AI systems parse and attribute content\n- **Topical authority:** AI systems preferentially cite sources that demonstrate deep expertise. Build content clusters, not isolated pages\n- **Entity clarity:** Ensure brand, authors, and key concepts are clearly defined with structured data (Organization, Person schema)\n- **Multi-platform tracking:** Monitor visibility across Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Bing Copilot, not just traditional rankings. Treat AI citation as a standalone KPI alongside organic rankings and traffic.\n\n**Generative Engine Optimization (GEO):**\nGEO is the emerging discipline of optimizing content specifically for AI-generated answers. Key GEO signals include: quotability (clear, concise extractable facts), attribution (source citations within your content), structure (well-organized heading hierarchy), and freshness (regularly updated data). Cross-reference the `seo-geo` skill for detailed GEO workflows.\n\n## Content Freshness\n\n- Publication date visible\n- Last updated date if content has been revised\n- Flag content older than 12 months without update for fast-changing topics\n\n## Output\n\n### Content Quality Score: XX\u002F100\n\n### E-E-A-T Breakdown\n| Factor | Score | Key Signals |\n|--------|-------|-------------|\n| Experience | XX\u002F25 | ... |\n| Expertise | XX\u002F25 | ... |\n| Authoritativeness | XX\u002F25 | ... |\n| Trustworthiness | XX\u002F25 | ... |\n\n### AI Citation Readiness: XX\u002F100\n\n### Issues Found\n\n### Recommendations\n\n## DataForSEO Integration (Optional)\n\nIf DataForSEO MCP tools are available, use `kw_data_google_ads_search_volume` for real keyword volume data, `dataforseo_labs_bulk_keyword_difficulty` for difficulty scores, `dataforseo_labs_search_intent` for intent classification, and `content_analysis_summary` for content quality analysis.\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess page content. Suggest the user verify the URL and try again. |\n| Content behind paywall (402\u002F403, login wall) | Report that the content is not publicly accessible. Analyze only the visible portion (meta tags, headers) and note the limitation. |\n| Thin content (fewer than 100 words retrievable) | Report the findings as-is rather than guessing. Flag the page as potentially JavaScript-rendered or gated, and suggest the user provide the full text directly. |\n","# Content Quality & E-E-A-T Analysis\n\n## When to Use\n\n- Use when auditing content quality, readability, thin content risk, or E-E-A-T signals.\n- Use when the user wants a content-focused SEO review rather than a full technical audit.\n- Use when checking whether content is structured and trustworthy enough for search and AI citation.\n\n## E-E-A-T Framework (updated Sept 2025 QRG)\n\nRead `seo\u002Freferences\u002Feeat-framework.md` for full criteria.\n\n### Experience (first-hand signals)\n- Original research, case studies, before\u002Fafter results\n- Personal anecdotes, process documentation\n- Unique data, proprietary insights\n- Photos\u002Fvideos from direct experience\n\n### Expertise\n- Author credentials, certifications, bio\n- Professional background relevant to topic\n- Technical depth appropriate for audience\n- Accurate, well-sourced claims\n\n### Authoritativeness\n- External citations, backlinks from authoritative sources\n- Brand mentions, industry recognition\n- Published in recognized outlets\n- Cited by other experts\n\n### Trustworthiness\n- Contact information, physical address\n- Privacy policy, terms of service\n- Customer testimonials, reviews\n- Date stamps, transparent corrections\n- Secure site (HTTPS)\n\n## Content Metrics\n\n### Word Count Analysis\nCompare against page type minimums:\n| Page Type | Minimum |\n|-----------|---------|\n| Homepage | 500 |\n| Service page | 800 |\n| Blog post | 1,500 |\n| Product page | 300+ (400+ for complex products) |\n| Location page | 500-600 |\n\n> **Important:** These are **topical coverage floors**, not targets. Google has confirmed word count is NOT a direct ranking factor. The goal is comprehensive topical coverage; a 500-word page that thoroughly answers the query will outrank a 2,000-word page that doesn't. Use these as guidelines for adequate coverage depth, not rigid requirements.\n\n### Readability\n- Flesch Reading Ease: target 60-70 for general audience\n\n> **Note:** Flesch Reading Ease is a useful proxy for content accessibility but is NOT a direct Google ranking factor. John Mueller has confirmed Google does not use basic readability scores for ranking. Yoast deprioritized Flesch scores in v19.3. Use readability analysis as a content quality indicator, not as an SEO metric to optimize directly.\n- Grade level: match target audience\n- Sentence length: average 15-20 words\n- Paragraph length: 2-4 sentences\n\n### Keyword Optimization\n- Primary keyword in title, H1, first 100 words\n- Natural density (1-3%)\n- Semantic variations present\n- No keyword stuffing\n\n### Content Structure\n- Logical heading hierarchy (H1 -> H2 -> H3)\n- Scannable sections with descriptive headings\n- Bullet\u002Fnumbered lists where appropriate\n- Table of contents for long-form content\n\n### Multimedia\n- Relevant images with proper alt text\n- Videos where appropriate\n- Infographics for complex data\n- Charts\u002Fgraphs for statistics\n\n### Internal Linking\n- 3-5 relevant internal links per 1000 words\n- Descriptive anchor text\n- Links to related content\n- No orphan pages\n\n### External Linking\n- Cite authoritative sources\n- Open in new tab for user experience\n- Reasonable count (not excessive)\n\n## AI Content Assessment (Sept 2025 QRG addition)\n\nGoogle's raters now formally assess whether content appears AI-generated.\n\n### Acceptable AI Content\n- Demonstrates genuine E-E-A-T\n- Provides unique value\n- Has human oversight and editing\n- Contains original insights\n\n### Low-Quality AI Content Markers\n- Generic phrasing, lack of specificity\n- No original insight\n- Repetitive structure across pages\n- No author attribution\n- Factual inaccuracies\n\n> **Helpful Content System (March 2024):** The Helpful Content System was merged into Google's core ranking algorithm during the March 2024 core update. It no longer operates as a standalone classifier. Helpfulness signals are now weighted within every core update. The same principles apply (people-first content, demonstrating E-E-A-T, satisfying user intent), but enforcement is continuous rather than through separate HCU updates.\n\n## AI Citation Readiness (GEO signals)\n\nOptimize for AI search engines (ChatGPT, Perplexity, Google AI Overviews):\n\n- Clear, quotable statements with statistics\u002Ffacts\n- Structured data (especially for data points)\n- Strong heading hierarchy (H1->H2->H3 flow)\n- Answer-first formatting for key questions\n- Tables and lists for comparative data\n- Clear attribution and source citations\n\n### AI Search Visibility & GEO (2025-2026)\n\n**Google AI Mode** launched publicly in May 2025 as a separate tab in Google Search, available in 180+ countries. Unlike AI Overviews (which appear above organic results), AI Mode provides a fully conversational search experience with **zero organic blue links**, making AI citation the only visibility mechanism.\n\n**Key optimization strategies for AI citation:**\n- **Structured answers:** Clear question-answer formats, definition patterns, and step-by-step instructions that AI systems can extract and cite\n- **First-party data:** Original research, statistics, case studies, and unique datasets are highly cited by AI systems\n- **Schema markup:** Article, FAQ (for non-Google AI platforms), and structured content schemas help AI systems parse and attribute content\n- **Topical authority:** AI systems preferentially cite sources that demonstrate deep expertise. Build content clusters, not isolated pages\n- **Entity clarity:** Ensure brand, authors, and key concepts are clearly defined with structured data (Organization, Person schema)\n- **Multi-platform tracking:** Monitor visibility across Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Bing Copilot, not just traditional rankings. Treat AI citation as a standalone KPI alongside organic rankings and traffic.\n\n**Generative Engine Optimization (GEO):**\nGEO is the emerging discipline of optimizing content specifically for AI-generated answers. Key GEO signals include: quotability (clear, concise extractable facts), attribution (source citations within your content), structure (well-organized heading hierarchy), and freshness (regularly updated data). Cross-reference the `seo-geo` skill for detailed GEO workflows.\n\n## Content Freshness\n\n- Publication date visible\n- Last updated date if content has been revised\n- Flag content older than 12 months without update for fast-changing topics\n\n## Output\n\n### Content Quality Score: XX\u002F100\n\n### E-E-A-T Breakdown\n| Factor | Score | Key Signals |\n|--------|-------|-------------|\n| Experience | XX\u002F25 | ... |\n| Expertise | XX\u002F25 | ... |\n| Authoritativeness | XX\u002F25 | ... |\n| Trustworthiness | XX\u002F25 | ... |\n\n### AI Citation Readiness: XX\u002F100\n\n### Issues Found\n\n### Recommendations\n\n## DataForSEO Integration (Optional)\n\nIf DataForSEO MCP tools are available, use `kw_data_google_ads_search_volume` for real keyword volume data, `dataforseo_labs_bulk_keyword_difficulty` for difficulty scores, `dataforseo_labs_search_intent` for intent classification, and `content_analysis_summary` for content quality analysis.\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess page content. Suggest the user verify the URL and try again. |\n| Content behind paywall (402\u002F403, login wall) | Report that the content is not publicly accessible. Analyze only the visible portion (meta tags, headers) and note the limitation. |\n| Thin content (fewer than 100 words retrievable) | Report the findings as-is rather than guessing. Flag the page as potentially JavaScript-rendered or gated, and suggest the user provide the full text directly. |\n",{"name":5,"risk":37,"source":57,"date_added":58,"description":59,"allowed-tools":60,"argument-hint":65,"user-invokable":66},"https:\u002F\u002Fgithub.com\u002FAgriciDaniel\u002Fclaude-seo","2026-03-21","Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says \"content quality\", \"E-E-A-T\", \"content analysis\", \"readability check\", \"thin content\", or \"content audit\".\n",[61,62,63,47,64],"Read","Grep","Glob","WebFetch","[url]",true,"main","d8518247cb8ab8b2dac57a6be33543ffd23b97c5","review-seo\u002Fsickn33\u002Fseo-content",0,"https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry","https:\u002F\u002Fgithub.com\u002Fmattonweb","2026-05-29 08:42:23",{"source":8,"skillName":5,"commands":75,"prompt":85,"zipAvailable":66},[76,79,82],{"tool":77,"command":78},"npx","npx skills add mattonweb\u002Fai-assistant-foundry --skill seo-content",{"tool":80,"command":81},"bunx","bunx skills add mattonweb\u002Fai-assistant-foundry --skill seo-content",{"tool":83,"command":84},"pnpm","pnpm dlx skills add mattonweb\u002Fai-assistant-foundry --skill seo-content","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Freview-seo\u002Fsickn33\u002Fseo-content\u002FSKILL.md",[],[88,117,131,150,170,195],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":98,"publishedAt":52},"01M6P02DENRHN6KVGYC55FKASJ","writing-clearly-and-concisely","Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.","https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Fwrite-technical\u002Fsoftaworks\u002Fwriting-clearly-and-concisely\u002FSKILL.md",[94,97],{"categoryNo":95,"categoryName":96,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":29,"categoryName":30,"taxonomyType":26,"taxonomyTypeDesc":27},[99,100,101,102,103,104,105,106,107,108,109,35,45,110,111,112,113,114,115,116],"writing clearly and concisely","writing","concisely","text","for","more","timeless","error","professional","prose","reports","Rules","commit messages","messages","error messages","ui","documentation","commit",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":123,"publishedAt":52},"01M6P0286HZ8RWMFCCPC8HF7SC","crafting-effective-readmes","Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.","https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Fwrite-technical\u002Fsoftaworks\u002Fcrafting-effective-readmes\u002FSKILL.md",[],[124,125,100,126,127,35,128,129,130],"crafting effective readmes","README","templates","type","project","guidance","files",{"skillNo":132,"name":133,"nameZh":6,"description":134,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":140,"publishedAt":52},"01M6P025A41BBTPWVTZ3GFQVG6","wiki-architect","You are a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.","https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Fwrite-technical\u002Fsickn33\u002Fwiki-architect\u002FSKILL.md",[137],{"categoryNo":138,"categoryName":139,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000038","人力资源",[141,142,143,37,144,145,146,147,148,149,115],"wiki","architect","wiki architect","you","documentation architect","guides","structured","community","onboarding",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":52},"01M6P01NSKPXP77NWB4K0PXRK5","readme","You are an expert technical writer creating comprehensive project documentation. Your goal is to write a README.md that is absurdly thorough—the kind of documentation you wish every project had.","https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Fwrite-technical\u002Fsickn33\u002Freadme\u002FSKILL.md",[],[125,157,158,159,144,160,44,128,161,162,67,163,164,165,166,167,115,168,169],"project documentation","tree","kind","expert","wish","writer","goal","write","technical writer","technical","https","write a readme","safe",{"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":176,"publishedAt":52},"01M6P01GP0NEN8KT3A3SA6ZFVE","ubiquitous-language","Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions \"domain model\" or \"DDD\".","https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Fwrite-technical\u002Fmattpocock\u002Fubiquitous-language\u002FSKILL.md",[],[177,178,35,179,180,181,182,183,184,185,186,38,187,188,189,190,191,192,193,194],"ubiquitous language","language","extract","user","glossary","model","terms","ddd","create","build","canonical","style","define","harden","domain model","domain","terminology","conversation",{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":203,"publishedAt":52},"01M6P01BJBP9XP4TDRT7QD1ZVA","technical-writing-style","Enforce clear, direct writing in software development documents including OKRs, PRDs, tech specs, architecture decision records (ADRs), git commit messages, PR descriptions, READMEs, changelogs, runbooks, incident postmortems, API docs, and onboarding guides. Trigger whenever a user asks to write, edit, revise, or review any of these document types. Also trigger when the user says writing \"sounds like AI\", \"feels robotic\", \"needs polish\", or asks to \"make it sound more natural\" in the context of technical or professional prose. Do not trigger for fiction, poetry, creative writing, academic papers, or legal documents unless the user explicitly asks for a more natural tone.","https:\u002F\u002Fgithub.com\u002Fmattonweb\u002Fai-assistant-foundry\u002Fblob\u002Fmain\u002Fwrite-technical\u002Fmattnebr\u002Ftechnical-writing-style\u002FSKILL.md",[201,202],{"categoryNo":95,"categoryName":96,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":29,"categoryName":30,"taxonomyType":26,"taxonomyTypeDesc":27},[204,205,188,166,100,206,107,207,208,209,210,211,212,213,214,112,215,216,116,217],"writing style","technical writing style","technical writing","papers","types","runbooks","software development","incident","Poetry","decision","api","documents","architecture","review"]