[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6GXT30D7E28JVVDCZX0EQ0E":3,"skill-same:01M6GXT30D7E28JVVDCZX0EQ0E":91},{"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":65,"commitSha":66,"skillDirectory":67,"forksCount":14,"repositoryHtmlUrl":68,"repositoryHomepageUrl":69,"ownerHtmlUrl":70,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":71,"install":72,"resources":84},"01M6GXT30D7E28JVVDCZX0EQ0E","seo-geo",null,"Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says \"AI Overviews\", \"SGE\", \"GEO\", \"AI search\", \"LLM optimization\", \"Perplexity\", \"AI citations\", \"ChatGPT search\", or \"AI visibility\".","ibragimov-oasis\u002Fname-navigator","ibragimov-oasis","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F240665573?v=4","01M6DF78Y45R8228FHAZ7G6JXM","IBRAGIMOV MUKHAMMADJON","01M6DF792RGGYNSN2BMSED45SJ",0,"MIT","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fskills\u002Fseo-geo\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"seo","seo geo","geo","source\u002Fskills-seo","llms","domain\u002Fseo","URL","platform","signals","artifact","domain","scoring","optimize","brand","web search","analysis","perplexity","Citations","search","chatgpt","2026-11-10 10:12:30",false,"---\nname: seo-geo\ndescription: >\n  Optimize content for AI Overviews (formerly SGE), ChatGPT web search,\n  Perplexity, and other AI-powered search experiences. Generative Engine\n  Optimization (GEO) analysis including brand mention signals, AI crawler\n  accessibility, llms.txt compliance, passage-level citability scoring, and\n  platform-specific optimization. Use when user says \"AI Overviews\", \"SGE\",\n  \"GEO\", \"AI search\", \"LLM optimization\", \"Perplexity\", \"AI citations\",\n  \"ChatGPT search\", or \"AI visibility\".\nuser-invokable: true\nargument-hint: \"[url]\"\nlicense: MIT\nmetadata:\n  author: AgriciDaniel\n  version: \"1.7.0\"\n  category: seo\ntags:\n  - domain\u002Fseo\n  - artifact\u002Fskill\n  - source\u002Fskills-seo\n---\n\n# AI Search \u002F GEO Optimization (February 2026)\n\n## Key Statistics\n\n| Metric | Value | Source |\n|--------|-------|--------|\n| AI Overviews reach | 1.5 billion users\u002Fmonth across 200+ countries | Google |\n| AI Overviews query coverage | 50%+ of all queries | Industry data |\n| AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro |\n| ChatGPT weekly active users | 900 million | OpenAI |\n| Perplexity monthly queries | 500+ million | Perplexity |\n\n## Critical Insight: Brand Mentions > Backlinks\n\n**Brand mentions correlate 3x more strongly with AI visibility than backlinks.**\n(Ahrefs December 2025 study of 75,000 brands)\n\n| Signal | Correlation with AI Citations |\n|--------|------------------------------|\n| YouTube mentions | ~0.737 (strongest) |\n| Reddit mentions | High |\n| Wikipedia presence | High |\n| LinkedIn presence | Moderate |\n| Domain Rating (backlinks) | ~0.266 (weak) |\n\n**Only 11% of domains** are cited by both ChatGPT and Google AI Overviews for the same query, so platform-specific optimization is essential.\n\n---\n\n## GEO Analysis Criteria (Updated)\n\n### 1. Citability Score (25%)\n\n**Optimal passage length: 134-167 words** for AI citation.\n\n**Strong signals:**\n- Clear, quotable sentences with specific facts\u002Fstatistics\n- Self-contained answer blocks (can be extracted without context)\n- Direct answer in first 40-60 words of section\n- Claims attributed with specific sources\n- Definitions following \"X is...\" or \"X refers to...\" patterns\n- Unique data points not found elsewhere\n\n**Weak signals:**\n- Vague, general statements\n- Opinion without evidence\n- Buried conclusions\n- No specific data points\n\n### 2. Structural Readability (20%)\n\n**92% of AI Overview citations come from top-10 ranking pages**, but 47% come from pages ranking below position 5, demonstrating different selection logic.\n\n**Strong signals:**\n- Clean H1->H2->H3 heading hierarchy\n- Question-based headings (matches query patterns)\n- Short paragraphs (2-4 sentences)\n- Tables for comparative data\n- Ordered\u002Funordered lists for step-by-step or multi-item content\n- FAQ sections with clear Q&A format\n\n**Weak signals:**\n- Wall of text with no structure\n- Inconsistent heading hierarchy\n- No lists or tables\n- Information buried in paragraphs\n\n### 3. Multi-Modal Content (15%)\n\nContent with multi-modal elements sees **156% higher selection rates**.\n\n**Check for:**\n- Text + relevant images\n- Video content (embedded or linked)\n- Infographics and charts\n- Interactive elements (calculators, tools)\n- Structured data supporting media\n\n### 4. Authority & Brand Signals (20%)\n\n**Strong signals:**\n- Author byline with credentials\n- Publication date and last-updated date\n- Citations to primary sources (studies, official docs, data)\n- Organization credentials and affiliations\n- Expert quotes with attribution\n- Entity presence in Wikipedia, Wikidata\n- Mentions on Reddit, YouTube, LinkedIn\n\n**Weak signals:**\n- Anonymous authorship\n- No dates\n- No sources cited\n- No brand presence across platforms\n\n### 5. Technical Accessibility (20%)\n\n**AI crawlers do NOT execute JavaScript.** Server-side rendering is critical.\n\n**Check for:**\n- Server-side rendering (SSR) vs client-only content\n- AI crawler access in robots.txt\n- llms.txt file presence and configuration\n- RSL 1.0 licensing terms\n\n---\n\n## AI Crawler Detection\n\nCheck `robots.txt` for these AI crawlers:\n\n| Crawler | Owner | Purpose |\n|---------|-------|---------|\n| GPTBot | OpenAI | ChatGPT web search |\n| OAI-SearchBot | OpenAI | OpenAI search features |\n| ChatGPT-User | OpenAI | ChatGPT browsing |\n| ClaudeBot | Anthropic | Claude web features |\n| PerplexityBot | Perplexity | Perplexity AI search |\n| CCBot | Common Crawl | Training data (often blocked) |\n| anthropic-ai | Anthropic | Claude training |\n| Bytespider | ByteDance | TikTok\u002FDouyin AI |\n| cohere-ai | Cohere | Cohere models |\n\n**Recommendation:** Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot for AI search visibility. Block CCBot and training crawlers if desired.\n\n---\n\n## llms.txt Standard\n\nThe emerging **llms.txt** standard provides AI crawlers with structured content guidance.\n\n**Location:** `\u002Fllms.txt` (root of domain)\n\n**Format:**\n```\n# Title of site\n> Brief description\n\n## Main sections\n- [Page title](url): Description\n- [Another page](url): Description\n\n## Optional: Key facts\n- Fact 1\n- Fact 2\n```\n\n**Check for:**\n- Presence of `\u002Fllms.txt`\n- Structured content guidance\n- Key page highlights\n- Contact\u002Fauthority information\n\n---\n\n## RSL 1.0 (Really Simple Licensing)\n\nNew standard (December 2025) for machine-readable AI licensing terms.\n\n**Backed by:** Reddit, Yahoo, Medium, Quora, Cloudflare, Akamai, Creative Commons\n\n**Check for:** RSL implementation and appropriate licensing terms.\n\n---\n\n## Platform-Specific Optimization\n\n| Platform | Key Citation Sources | Optimization Focus |\n|----------|---------------------|-------------------|\n| **Google AI Overviews** | Top-10 ranking pages (92%) | Traditional SEO + passage optimization |\n| **ChatGPT** | Wikipedia (47.9%), Reddit (11.3%) | Entity presence, authoritative sources |\n| **Perplexity** | Reddit (46.7%), Wikipedia | Community validation, discussions |\n| **Bing Copilot** | Bing index, authoritative sites | Bing SEO, IndexNow |\n\n---\n\n## Output\n\nGenerate `GEO-ANALYSIS.md` with:\n\n1. **GEO Readiness Score: XX\u002F100**\n2. **Platform breakdown** (Google AIO, ChatGPT, Perplexity scores)\n3. **AI Crawler Access Status** (which crawlers allowed\u002Fblocked)\n4. **llms.txt Status** (present, missing, recommendations)\n5. **Brand Mention Analysis** (presence on Wikipedia, Reddit, YouTube, LinkedIn)\n6. **Passage-Level Citability** (optimal 134-167 word blocks identified)\n7. **Server-Side Rendering Check** (JavaScript dependency analysis)\n8. **Top 5 Highest-Impact Changes**\n9. **Schema Recommendations** (for AI discoverability)\n10. **Content Reformatting Suggestions** (specific passages to rewrite)\n\n---\n\n## Quick Wins\n\n1. Add \"What is [topic]?\" definition in first 60 words\n2. Create 134-167 word self-contained answer blocks\n3. Add question-based H2\u002FH3 headings\n4. Include specific statistics with sources\n5. Add publication\u002Fupdate dates\n6. Implement Person schema for authors\n7. Allow key AI crawlers in robots.txt\n\n## Medium Effort\n\n1. Create `\u002Fllms.txt` file\n2. Add author bio with credentials + Wikipedia\u002FLinkedIn links\n3. Ensure server-side rendering for key content\n4. Build entity presence on Reddit, YouTube\n5. Add comparison tables with data\n6. Implement FAQ sections (structured, not schema for commercial sites)\n\n## High Impact\n\n1. Create original research\u002Fsurveys (unique citability)\n2. Build Wikipedia presence for brand\u002Fkey people\n3. Establish YouTube channel with content mentions\n4. Implement comprehensive entity linking (sameAs across platforms)\n5. Develop unique tools or calculators\n\n## DataForSEO Integration (Optional)\n\nIf DataForSEO MCP tools are available, use `ai_optimization_chat_gpt_scraper` to check what ChatGPT web search returns for target queries (real GEO visibility check) and `ai_opt_llm_ment_search` with `ai_opt_llm_ment_top_domains` for LLM mention tracking across AI platforms.\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |\n| AI crawlers blocked by robots.txt | Report exactly which crawlers are blocked and which are allowed. Provide specific robots.txt directives to add for enabling AI search visibility. |\n| No llms.txt found | Note the absence and provide a ready-to-use llms.txt template based on the site's content structure. |\n| No structured data detected | Report the gap and provide specific schema recommendations (Article, Organization, Person) for improving AI discoverability. |\n\n## ? Связи\n\n- [[MOC - Skills]] — Skills library\n- [[skills\u002Fskills-seo]] — Category: skills-seo\n\n","# AI Search \u002F GEO Optimization (February 2026)\n\n## Key Statistics\n\n| Metric | Value | Source |\n|--------|-------|--------|\n| AI Overviews reach | 1.5 billion users\u002Fmonth across 200+ countries | Google |\n| AI Overviews query coverage | 50%+ of all queries | Industry data |\n| AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro |\n| ChatGPT weekly active users | 900 million | OpenAI |\n| Perplexity monthly queries | 500+ million | Perplexity |\n\n## Critical Insight: Brand Mentions > Backlinks\n\n**Brand mentions correlate 3x more strongly with AI visibility than backlinks.**\n(Ahrefs December 2025 study of 75,000 brands)\n\n| Signal | Correlation with AI Citations |\n|--------|------------------------------|\n| YouTube mentions | ~0.737 (strongest) |\n| Reddit mentions | High |\n| Wikipedia presence | High |\n| LinkedIn presence | Moderate |\n| Domain Rating (backlinks) | ~0.266 (weak) |\n\n**Only 11% of domains** are cited by both ChatGPT and Google AI Overviews for the same query, so platform-specific optimization is essential.\n\n---\n\n## GEO Analysis Criteria (Updated)\n\n### 1. Citability Score (25%)\n\n**Optimal passage length: 134-167 words** for AI citation.\n\n**Strong signals:**\n- Clear, quotable sentences with specific facts\u002Fstatistics\n- Self-contained answer blocks (can be extracted without context)\n- Direct answer in first 40-60 words of section\n- Claims attributed with specific sources\n- Definitions following \"X is...\" or \"X refers to...\" patterns\n- Unique data points not found elsewhere\n\n**Weak signals:**\n- Vague, general statements\n- Opinion without evidence\n- Buried conclusions\n- No specific data points\n\n### 2. Structural Readability (20%)\n\n**92% of AI Overview citations come from top-10 ranking pages**, but 47% come from pages ranking below position 5, demonstrating different selection logic.\n\n**Strong signals:**\n- Clean H1->H2->H3 heading hierarchy\n- Question-based headings (matches query patterns)\n- Short paragraphs (2-4 sentences)\n- Tables for comparative data\n- Ordered\u002Funordered lists for step-by-step or multi-item content\n- FAQ sections with clear Q&A format\n\n**Weak signals:**\n- Wall of text with no structure\n- Inconsistent heading hierarchy\n- No lists or tables\n- Information buried in paragraphs\n\n### 3. Multi-Modal Content (15%)\n\nContent with multi-modal elements sees **156% higher selection rates**.\n\n**Check for:**\n- Text + relevant images\n- Video content (embedded or linked)\n- Infographics and charts\n- Interactive elements (calculators, tools)\n- Structured data supporting media\n\n### 4. Authority & Brand Signals (20%)\n\n**Strong signals:**\n- Author byline with credentials\n- Publication date and last-updated date\n- Citations to primary sources (studies, official docs, data)\n- Organization credentials and affiliations\n- Expert quotes with attribution\n- Entity presence in Wikipedia, Wikidata\n- Mentions on Reddit, YouTube, LinkedIn\n\n**Weak signals:**\n- Anonymous authorship\n- No dates\n- No sources cited\n- No brand presence across platforms\n\n### 5. Technical Accessibility (20%)\n\n**AI crawlers do NOT execute JavaScript.** Server-side rendering is critical.\n\n**Check for:**\n- Server-side rendering (SSR) vs client-only content\n- AI crawler access in robots.txt\n- llms.txt file presence and configuration\n- RSL 1.0 licensing terms\n\n---\n\n## AI Crawler Detection\n\nCheck `robots.txt` for these AI crawlers:\n\n| Crawler | Owner | Purpose |\n|---------|-------|---------|\n| GPTBot | OpenAI | ChatGPT web search |\n| OAI-SearchBot | OpenAI | OpenAI search features |\n| ChatGPT-User | OpenAI | ChatGPT browsing |\n| ClaudeBot | Anthropic | Claude web features |\n| PerplexityBot | Perplexity | Perplexity AI search |\n| CCBot | Common Crawl | Training data (often blocked) |\n| anthropic-ai | Anthropic | Claude training |\n| Bytespider | ByteDance | TikTok\u002FDouyin AI |\n| cohere-ai | Cohere | Cohere models |\n\n**Recommendation:** Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot for AI search visibility. Block CCBot and training crawlers if desired.\n\n---\n\n## llms.txt Standard\n\nThe emerging **llms.txt** standard provides AI crawlers with structured content guidance.\n\n**Location:** `\u002Fllms.txt` (root of domain)\n\n**Format:**\n```\n# Title of site\n> Brief description\n\n## Main sections\n- [Page title](url): Description\n- [Another page](url): Description\n\n## Optional: Key facts\n- Fact 1\n- Fact 2\n```\n\n**Check for:**\n- Presence of `\u002Fllms.txt`\n- Structured content guidance\n- Key page highlights\n- Contact\u002Fauthority information\n\n---\n\n## RSL 1.0 (Really Simple Licensing)\n\nNew standard (December 2025) for machine-readable AI licensing terms.\n\n**Backed by:** Reddit, Yahoo, Medium, Quora, Cloudflare, Akamai, Creative Commons\n\n**Check for:** RSL implementation and appropriate licensing terms.\n\n---\n\n## Platform-Specific Optimization\n\n| Platform | Key Citation Sources | Optimization Focus |\n|----------|---------------------|-------------------|\n| **Google AI Overviews** | Top-10 ranking pages (92%) | Traditional SEO + passage optimization |\n| **ChatGPT** | Wikipedia (47.9%), Reddit (11.3%) | Entity presence, authoritative sources |\n| **Perplexity** | Reddit (46.7%), Wikipedia | Community validation, discussions |\n| **Bing Copilot** | Bing index, authoritative sites | Bing SEO, IndexNow |\n\n---\n\n## Output\n\nGenerate `GEO-ANALYSIS.md` with:\n\n1. **GEO Readiness Score: XX\u002F100**\n2. **Platform breakdown** (Google AIO, ChatGPT, Perplexity scores)\n3. **AI Crawler Access Status** (which crawlers allowed\u002Fblocked)\n4. **llms.txt Status** (present, missing, recommendations)\n5. **Brand Mention Analysis** (presence on Wikipedia, Reddit, YouTube, LinkedIn)\n6. **Passage-Level Citability** (optimal 134-167 word blocks identified)\n7. **Server-Side Rendering Check** (JavaScript dependency analysis)\n8. **Top 5 Highest-Impact Changes**\n9. **Schema Recommendations** (for AI discoverability)\n10. **Content Reformatting Suggestions** (specific passages to rewrite)\n\n---\n\n## Quick Wins\n\n1. Add \"What is [topic]?\" definition in first 60 words\n2. Create 134-167 word self-contained answer blocks\n3. Add question-based H2\u002FH3 headings\n4. Include specific statistics with sources\n5. Add publication\u002Fupdate dates\n6. Implement Person schema for authors\n7. Allow key AI crawlers in robots.txt\n\n## Medium Effort\n\n1. Create `\u002Fllms.txt` file\n2. Add author bio with credentials + Wikipedia\u002FLinkedIn links\n3. Ensure server-side rendering for key content\n4. Build entity presence on Reddit, YouTube\n5. Add comparison tables with data\n6. Implement FAQ sections (structured, not schema for commercial sites)\n\n## High Impact\n\n1. Create original research\u002Fsurveys (unique citability)\n2. Build Wikipedia presence for brand\u002Fkey people\n3. Establish YouTube channel with content mentions\n4. Implement comprehensive entity linking (sameAs across platforms)\n5. Develop unique tools or calculators\n\n## DataForSEO Integration (Optional)\n\nIf DataForSEO MCP tools are available, use `ai_optimization_chat_gpt_scraper` to check what ChatGPT web search returns for target queries (real GEO visibility check) and `ai_opt_llm_ment_search` with `ai_opt_llm_ment_top_domains` for LLM mention tracking across AI platforms.\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |\n| AI crawlers blocked by robots.txt | Report exactly which crawlers are blocked and which are allowed. Provide specific robots.txt directives to add for enabling AI search visibility. |\n| No llms.txt found | Note the absence and provide a ready-to-use llms.txt template based on the site's content structure. |\n| No structured data detected | Report the gap and provide specific schema recommendations (Article, Organization, Person) for improving AI discoverability. |\n\n## ? Связи\n\n- [[MOC - Skills]] — Skills library\n- [[skills\u002Fskills-seo]] — Category: skills-seo\n\n",{"name":5,"tags":57,"license":15,"metadata":59,"description":62,"argument-hint":63,"user-invokable":64},[37,58,35],"artifact\u002Fskill",{"author":60,"version":61,"category":32},"AgriciDaniel","1.7.0","Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says \"AI Overviews\", \"SGE\", \"GEO\", \"AI search\", \"LLM optimization\", \"Perplexity\", \"AI citations\", \"ChatGPT search\", or \"AI visibility\".\n","[url]",true,"main","3a0e8170d69effdc8a555eee4b80b943f47fe6b2",".claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fskills\u002Fseo-geo","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator","https:\u002F\u002Fname-navigator.vercel.app","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis","2026-11-03 18:37:11",{"source":8,"skillName":5,"commands":73,"prompt":83,"zipAvailable":64},[74,77,80],{"tool":75,"command":76},"npx","npx skills add ibragimov-oasis\u002Fname-navigator --skill seo-geo",{"tool":78,"command":79},"bunx","bunx skills add ibragimov-oasis\u002Fname-navigator --skill seo-geo",{"tool":81,"command":82},"pnpm","pnpm dlx skills add ibragimov-oasis\u002Fname-navigator --skill seo-geo","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fskills\u002Fseo-geo\u002FSKILL.md",[85],{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"LICENSE.txt","LICENSE","许可证",143,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fskills\u002Fseo-geo\u002FLICENSE.txt",[92,124,152,177,197,218],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":104,"publishedAt":52},"01M6H16XFT30RK9RWGFB4M9KGG","transloadit-media-processing","Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS\u002FMP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Ftransloadit-media-processing\u002FSKILL.md",[98,101],{"categoryNo":99,"categoryName":100,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":102,"categoryName":103,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,41,123],"transloadit media processing","Media","media processing","processing","MCP","cli","mcp server","copilot","documents","generate","server","pipeline","ocr","Video","Audio","images","files","thumbnails","free",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":133,"publishedAt":52},"01M6H16MZ628556VXNEG9PRDK2","terraform-azurerm-set-diff-analyzer","Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fterraform-azurerm-set-diff-analyzer\u002FSKILL.md",[130],{"categoryNo":131,"categoryName":132,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",[134,135,136,137,138,139,112,140,141,142,143,144,145,41,146,147,148,149,150,151],"terraform","SET","terraform azurerm set diff analyzer","diff","analyzer","diffs","JSON Output","firewall","false-positive","plan","analyze","only","false","resources","load balancer","attributes","source\u002Fskills-copilot","source",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":162,"publishedAt":52},"01M6H12YWM6E909XH6JN4428RN","refactor","Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Frefactor\u002FSKILL.md",[158,161],{"categoryNo":159,"categoryName":160,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[154,163,112,164,165,166,167,168,169,170,171,172,173,42,41,174,175,176,150,151],"design","code","Type Safety","Safety","improve","refactoring","repo","use","design patterns","code refactoring","patterns","extracting","Variables","for",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":186,"publishedAt":52},"01M6H11GN772CMEJ2R70TXG7SS","prd","Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fprd\u002FSKILL.md",[183],{"categoryNo":184,"categoryName":185,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000031","产品经理",[179,112,113,114,187,188,47,189,42,41,190,191,192,193,194,195,176,150,151,196],"product","risk","technical","requirements","software","Product Requirements","user stories","high","domain\u002Fagents","summaries",{"skillNo":198,"name":199,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":201,"categories":202,"keywords":203,"publishedAt":52},"01M6H0ZF4BS1GC60K8WCCVCH6G","plantuml-ascii","Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fplantuml-ascii\u002FSKILL.md",[],[204,205,206,207,112,208,209,114,210,211,212,213,214,215,42,41,216,217,150,151],"plantuml","plantuml ascii","ascii","terminal","diagram","create","Bash","text","read","write","diagrams","Art","Unicode","mode",{"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":52},"01M6H0X7BMJD69GTGE6DDZCYF8","msstore-cli","Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI\u002FCD for Store publishing, or integrate with Partner Center. Supports Windows App SDK\u002FWinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fmsstore-cli\u002FSKILL.md",[224,225,226],{"categoryNo":131,"categoryName":132,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":102,"categoryName":103,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":227,"categoryName":228,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师",[110,230,231,232,112,233,234,235,135,236,237,238,239,240,241,41,242,243,244,245],"msstore cli","react","status","uwp","ci","publish","credentials","configure","pwa","react native","integrate","up","app","apps","native","CI\u002FCD"]