[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-tasteray-recommendations-en":3,"guides-for-tasteray-recommendations":392,"similar-k172pc1mtwk78t18y805qakdv986mvnd-en":393},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":249,"isFallback":235,"parentExtension":253,"providers":307,"relations":311,"repo":312,"tags":389,"workflow":390},1778697963443.485,"k172pc1mtwk78t18y805qakdv986mvnd",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to: (1) recommend movies, restaurants, products, travel, or jobs, (2) answer \"what would I like\" questions, (3) provide personalized recommendations based on preferences, (4) rank or score items for a user, (5) explain why something matches a user's taste, (6) build recommendation context from conversation, (7) integrate psychological profiles with recommendation systems.",{"claudeCode":12},"tasteray/skills","recommendations","https://github.com/tasteray/skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":233,"workflow":247},1778698029878.6404,"kn79bz85kqt40qb2yfn2gnc91186ndxv","en",{"checks":20,"evaluatedAt":194,"extensionSummary":195,"features":196,"nonGoals":202,"promptVersionExtension":209,"promptVersionScoring":210,"purpose":211,"rationale":212,"score":213,"summary":214,"tags":215,"targetMarket":223,"tier":224,"useCases":225},[21,26,29,32,36,39,43,47,51,54,58,62,65,70,73,76,79,82,85,88,92,96,100,104,109,112,115,118,122,125,128,131,134,137,140,144,148,152,155,159,162,165,168,171,175,178,181,184,187,191],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly names the user problem of needing personalized recommendations and the product/service (TasteRay API) that addresses it across multiple verticals.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers significant value beyond a simple prompt by integrating with the TasteRay API, building rich context, and providing personalized explanations, which is more than default LLM behavior.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill is production-ready, integrating with a documented API and covering the complete recommendation lifecycle from context building to presentation and iteration.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses on personalized recommendations using the TasteRay API and related context building, staying within a single, coherent domain.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's capabilities, clearly stating its purpose and use cases in a readable format.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The skill primarily interacts with the TasteRay API via defined endpoints (e.g., POST /v1/recommend, POST /v1/explain), which are well-scoped verb-noun actions.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","The API reference documentation details all parameters, including context object fields and vertical-specific constraints, with clear types and requirements.",{"category":33,"check":48,"severity":49,"summary":50},"Tool naming","not_applicable","This skill primarily interacts with an external API, and the 'tools' are effectively API endpoints rather than distinct commands with verb-noun names.",{"category":33,"check":52,"severity":24,"summary":53},"Minimal I/O surface","The API request and response schemas appear well-defined, requesting specific context and returning structured recommendation data with confidence scores and explanations.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The license is MIT, a permissive open-source license, and is declared in the SKILL.md frontmatter and a LICENSE file.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on April 16, 2026, which is within the last 3 months.",{"category":59,"check":63,"severity":49,"summary":64},"Dependency Management","The skill itself does not appear to have third-party dependencies that require management.",{"category":66,"check":67,"severity":68,"summary":69},"Security","Secret Management","warning","The API key is required and mentioned in multiple places, but there are no explicit instructions on how to securely manage it (e.g., via environment variables or a secure store), potentially leading to hardcoding.",{"category":66,"check":71,"severity":24,"summary":72},"Injection","The skill interacts with an external API and does not appear to load or execute arbitrary third-party data as instructions.",{"category":66,"check":74,"severity":24,"summary":75},"Transitive Supply-Chain Grenades","The skill relies on a documented external API and does not fetch remote code or content to execute.",{"category":66,"check":77,"severity":24,"summary":78},"Sandbox Isolation","The skill primarily makes API calls and does not appear to modify files or operate outside its defined scope.",{"category":66,"check":80,"severity":24,"summary":81},"Sandbox escape primitives","No detached processes or retry loops around denied tool calls were detected.",{"category":66,"check":83,"severity":24,"summary":84},"Data Exfiltration","The skill sends context and preferences to the TasteRay API for recommendations, which is its intended purpose. No undocumented outbound calls or exfiltration of confidential data were observed.",{"category":66,"check":86,"severity":24,"summary":87},"Hidden Text Tricks","Bundled content appears free of hidden steering tricks, and descriptions are clean ASCII.",{"category":89,"check":90,"severity":24,"summary":91},"Hooks","Opaque code execution","The skill's logic is described in markdown and interacts with an API, with no indication of obfuscated or opaque code execution.",{"category":93,"check":94,"severity":24,"summary":95},"Portability","Structural Assumption","The skill makes no assumptions about the user's project structure beyond what's needed to interact with the API.",{"category":97,"check":98,"severity":24,"summary":99},"Trust","Issues Attention","There are 0 open and 0 closed issues in the last 90 days, indicating low activity but no signs of neglect.",{"category":101,"check":102,"severity":24,"summary":103},"Versioning","Release Management","A meaningful version (1.0) is declared in the SKILL.md frontmatter.",{"category":105,"check":106,"severity":107,"summary":108},"Code Execution","Validation","info","While the API schema is documented, the skill's implementation logic for validating and sanitizing input before sending to the API is not explicitly detailed in the provided SKILL.md. The API itself likely performs validation, but the skill's internal handling is unclear.",{"category":66,"check":110,"severity":24,"summary":111},"Unguarded Destructive Operations","The skill is primarily read-only in terms of state changes within the user's environment; its main action is making API calls, which are not destructive operations.",{"category":105,"check":113,"severity":24,"summary":114},"Error Handling","The SKILL.md details API error codes (4xx, 5xx) and suggests handling strategies like exponential backoff and fallback behavior.",{"category":105,"check":116,"severity":49,"summary":117},"Logging","The skill's primary function is API interaction, and it does not perform destructive actions or complex local operations that would necessitate a local audit log.",{"category":119,"check":120,"severity":107,"summary":121},"Compliance","GDPR","The skill operates on user preferences and context, which may include personal data. While it sends this data to the TasteRay API, the handling and sanitization of personal data before it's sent are not explicitly detailed, posing a potential risk if not handled properly by the upstream agent.",{"category":119,"check":123,"severity":24,"summary":124},"Target market","The extension has no regional or jurisdictional logic and operates globally, targeting general recommendation needs.",{"category":93,"check":126,"severity":24,"summary":127},"Runtime stability","The skill relies on standard API calls and documented context patterns, making it broadly portable across compatible agent environments.",{"category":44,"check":129,"severity":24,"summary":130},"README","The README file exists and clearly outlines the purpose of the TasteRay skills, including Elicitation and Recommendations.",{"category":33,"check":132,"severity":49,"summary":133},"Tool surface size","This skill primarily interacts with external API endpoints rather than exposing multiple distinct tools.",{"category":40,"check":135,"severity":49,"summary":136},"Overlapping near-synonym tools","The skill interacts with specific API endpoints (recommend, explain, usage) which are distinct and do not overlap in function.",{"category":44,"check":138,"severity":24,"summary":139},"Phantom features","All advertised features, such as API integration and context building, have corresponding implementations detailed in the SKILL.md and references.",{"category":141,"check":142,"severity":24,"summary":143},"Install","Installation instruction","The README provides clear installation instructions using `npx skills add` and includes example usage prompts.",{"category":145,"check":146,"severity":24,"summary":147},"Errors","Actionable error messages","The API reference and SKILL.md document various error codes and suggest remediation steps for API-related issues.",{"category":149,"check":150,"severity":49,"summary":151},"Execution","Pinned dependencies","The skill does not appear to use third-party dependencies that require pinning or side-effect headers.",{"category":33,"check":153,"severity":49,"summary":154},"Dry-run preview","The skill's primary action is making API calls for recommendations, which is not a state-changing operation requiring a dry-run preview.",{"category":156,"check":157,"severity":24,"summary":158},"Protocol","Idempotent retry & timeouts","The documentation suggests implementing exponential backoff and handling timeouts for API errors, and the operations are generally idempotent (recommendations based on context).",{"category":119,"check":160,"severity":49,"summary":161},"Telemetry opt-in","There is no indication that the skill emits telemetry.",{"category":40,"check":163,"severity":24,"summary":164},"Precise Purpose","The description clearly states the purpose of TasteRay API integration for personalized recommendations and provides specific use cases and non-goals.",{"category":40,"check":166,"severity":24,"summary":167},"Concise Frontmatter","The SKILL.md frontmatter is concise, providing the core capability and trigger phrases without excessive keywords.",{"category":44,"check":169,"severity":24,"summary":170},"Concise Body","The SKILL.md is well-structured, using linked references for deeper material and keeping the main body concise.",{"category":172,"check":173,"severity":24,"summary":174},"Context","Progressive Disclosure","Detailed guides like API Reference, Context Patterns, and Presentation Patterns are linked from the SKILL.md, facilitating progressive disclosure.",{"category":172,"check":176,"severity":49,"summary":177},"Forked exploration","This skill's workflow involves direct API calls and context building, not deep exploration or code review that would require forking.",{"category":22,"check":179,"severity":24,"summary":180},"Usage examples","The SKILL.md provides example JSON requests for core API endpoints and quick reference examples, enabling users to understand invocation and expected output.",{"category":22,"check":182,"severity":24,"summary":183},"Edge cases","The SKILL.md and presentation patterns documentation address edge cases such as rate limits, authentication errors, low confidence matches, and conflicting preferences, with suggested recovery steps.",{"category":105,"check":185,"severity":49,"summary":186},"Tool Fallback","The skill does not rely on external tools like an MCP server that would require a fallback path.",{"category":188,"check":189,"severity":24,"summary":190},"Safety","Halt on unexpected state","The skill's workflow, particularly in handling API errors and conflicting preferences, implies a halt and report mechanism rather than proceeding with invalid states.",{"category":93,"check":192,"severity":24,"summary":193},"Cross-skill coupling","The skill is designed to work standalone and clearly documents its integration with the TasteRay API and the optional Elicitation skill, without implicit reliance.",1778698029772,"This skill integrates with the TasteRay API to provide personalized recommendations across various verticals like movies, restaurants, products, travel, and jobs. It focuses on building rich user context from conversation, making API calls, interpreting confidence scores, and presenting personalized explanations.",[197,198,199,200,201],"Personalized recommendations across multiple verticals","API integration with TasteRay Recommendation API","Context building from user preferences, profile, constraints, and history","Confidence score interpretation and presentation","Personalized explanation generation for recommendations",[203,204,205,206,207,208],"Making recommendations without understanding user context","Presenting raw API output without personalization","Making overconfident recommendations with low confidence scores","Ignoring user constraints or preferences","Failing to maintain conversational context","Recommending without explaining the 'why'","3.0.0","4.4.0","To empower AI agents with sophisticated personalized recommendation capabilities, turning them into perceptive conversationalists that understand user needs before making suggestions.","The skill is well-documented and robust, with strong adherence to best practices for API integration and user experience. A minor warning regarding API key management is the only detraction.",95,"A high-quality skill for generating personalized recommendations via the TasteRay API, with excellent documentation and adherence to best practices.",[13,216,217,218,219,220,221,222],"api","personalization","movies","restaurants","products","travel","jobs","global","community",[226,227,228,229,230,231,232],"Recommending movies, restaurants, products, travel destinations, or jobs","Answering 'what would I like' questions","Providing personalized recommendations based on user preferences","Ranking or scoring items for a user","Explaining why something matches a user's taste","Building recommendation context from conversation","Integrating psychological profiles with recommendation systems",{"codeQuality":234,"collectedAt":236,"documentation":237,"maintenance":240,"security":244,"testCoverage":246},{"hasLockfile":235},false,1778698017421,{"descriptionLength":238,"readmeSize":239},514,4085,{"closedIssues90d":8,"forks":8,"hasChangelog":235,"manifestVersion":241,"openIssues90d":8,"pushedAt":242,"stars":243},"1.0",1776340097000,16,{"hasNpmPackage":235,"license":245,"smitheryVerified":235},"MIT",{"hasCi":235,"hasTests":235},{"updatedAt":248},1778698029878,{"basePath":13,"githubOwner":250,"githubRepo":251,"locale":18,"slug":13,"type":252},"tasteray","skills","skill",{"_creationTime":254,"_id":255,"community":256,"display":257,"identity":261,"parentExtension":263,"providers":296,"relations":302,"tags":303,"workflow":304},1778697963443.4846,"k17ceedcn7c5js4g770dv7sk5586ntsf",{"reviewCount":8},{"description":258,"installMethods":259,"name":260,"sourceUrl":14},"TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to recommend items, answer 'what would I like' questions, provide personalized recommendations, rank items for users, explain why something matches their taste, or integrate psychological profiles with recommendation systems.",{"claudeCode":13},"TasteRay Recommendations",{"basePath":13,"githubOwner":250,"githubRepo":251,"locale":18,"slug":13,"type":262},"plugin",{"_creationTime":264,"_id":265,"community":266,"display":267,"identity":271,"providers":274,"relations":289,"tags":291,"workflow":292},1778697963443.4841,"k176abyf6zd0nraq60x6kn4cy186mya5",{"reviewCount":8},{"description":268,"installMethods":269,"name":270,"sourceUrl":14},"Psychological profiling skills for natural conversation using research-backed techniques",{"claudeCode":12},"tasteray-skills",{"basePath":272,"githubOwner":250,"githubRepo":251,"locale":18,"slug":251,"type":273},"","marketplace",{"evaluate":275,"extract":283},{"promptVersionExtension":276,"promptVersionScoring":210,"score":277,"tags":278,"targetMarket":223,"tier":282},"3.1.0",96,[279,13,280,217,281],"psychology","conversation","user-understanding","verified",{"commitSha":284,"marketplace":285,"plugin":287},"HEAD",{"name":270,"pluginCount":286},2,{"mcpCount":8,"provider":288,"skillCount":8},"classify",{"repoId":290},"kd71g6tdfax8bbc709p7x2z8p586m87d",[280,217,279,13,281],{"evaluatedAt":293,"extractAt":294,"updatedAt":295},1778697974234,1778697963443,1778698069708,{"evaluate":297,"extract":301},{"promptVersionExtension":209,"promptVersionScoring":210,"score":298,"tags":299,"targetMarket":223,"tier":224},79,[13,216,217,300],"taste",{"commitSha":284,"license":245},{"parentExtensionId":265,"repoId":290},[216,217,13,300],{"evaluatedAt":305,"extractAt":294,"updatedAt":306},1778698004215,1778698070060,{"evaluate":308,"extract":310},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":309,"targetMarket":223,"tier":224},[13,216,217,218,219,220,221,222],{"commitSha":284},{"parentExtensionId":255,"repoId":290},{"_creationTime":313,"_id":290,"identity":314,"providers":315,"workflow":385},1778697959310.8623,{"githubOwner":250,"githubRepo":251,"sourceUrl":14},{"classify":316,"discover":376,"github":379},{"commitSha":284,"extensions":317},[318,331,339,344,365],{"basePath":272,"description":268,"displayName":270,"installMethods":319,"rationale":320,"selectedPaths":321,"source":330,"sourceLanguage":18,"type":273},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[322,325,327],{"path":323,"priority":324},".claude-plugin/marketplace.json","mandatory",{"path":326,"priority":324},"README.md",{"path":328,"priority":329},"LICENSE","high","rule",{"basePath":332,"description":333,"displayName":332,"installMethods":334,"rationale":335,"selectedPaths":336,"source":330,"sourceLanguage":18,"type":262},"elicitation","Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to understand core values, discover formative memories, detect emotional schemas, or build psychological profiles through gradual disclosure.",{"claudeCode":332},"inline plugin source from marketplace.json at elicitation",[337],{"path":338,"priority":329},"SKILL.md",{"basePath":13,"description":258,"displayName":13,"installMethods":340,"rationale":341,"selectedPaths":342,"source":330,"sourceLanguage":18,"type":262},{"claudeCode":13},"inline plugin source from marketplace.json at recommendations",[343],{"path":338,"priority":329},{"basePath":332,"description":345,"displayName":332,"installMethods":346,"rationale":347,"selectedPaths":348,"source":330,"sourceLanguage":18,"type":252},"Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to: (1) understand someone's core values and motivations, (2) discover formative memories and life-defining experiences, (3) detect emotional schemas and belief patterns, (4) build psychological profiles through gradual disclosure, (5) conduct user interviews that reveal deep insights, (6) design conversational flows for personal discovery, (7) identify identity themes like redemption and contamination narratives, (8) elicit authentic self-disclosure without interrogation.",{"claudeCode":12},"SKILL.md frontmatter at elicitation/SKILL.md",[349,350,353,355,357,359,361,363],{"path":338,"priority":324},{"path":351,"priority":352},"references/language-inference.md","medium",{"path":354,"priority":352},"references/motivational-interviewing.md",{"path":356,"priority":352},"references/narrative-identity.md",{"path":358,"priority":352},"references/question-sequences.md",{"path":360,"priority":352},"references/schema-detection.md",{"path":362,"priority":352},"references/self-defining-memories.md",{"path":364,"priority":352},"references/values-elicitation.md",{"basePath":13,"description":10,"displayName":13,"installMethods":366,"rationale":367,"selectedPaths":368,"source":330,"sourceLanguage":18,"type":252},{"claudeCode":12},"SKILL.md frontmatter at recommendations/SKILL.md",[369,370,372,374],{"path":338,"priority":324},{"path":371,"priority":352},"references/api-reference.md",{"path":373,"priority":352},"references/context-patterns.md",{"path":375,"priority":352},"references/presentation-patterns.md",{"sources":377},[378],"manual",{"closedIssues90d":8,"description":380,"forks":8,"homepage":381,"license":245,"openIssues90d":8,"pushedAt":242,"readmeSize":239,"stars":243,"topics":382},"TasteRay skills for psychological profiling through natural conversation","https://api.tasteray.com",[332,383,13,384],"recommendation","system",{"classifiedAt":386,"discoverAt":387,"extractAt":388,"githubAt":388,"updatedAt":386},1778697963265,1778697959310,1778697961228,[216,222,218,217,220,13,219,221],{"evaluatedAt":248,"extractAt":294,"updatedAt":391},1778698070417,[],[394,422,453,479,499,527],{"_creationTime":395,"_id":396,"community":397,"display":398,"identity":404,"providers":407,"relations":415,"tags":417,"workflow":418},1778692220267.4014,"k173ztaywbkajjk9gqy90n98fx86mnzf",{"reviewCount":8},{"description":399,"installMethods":400,"name":402,"sourceUrl":403},"Search and book flights across 180+ airlines with zero markup — $20–50 cheaper than OTAs. Returns raw airline prices via local connectors (Ryanair, EasyJet, Wizz Air, Southwest, AirAsia, and 175+ more). Use when user asks to \"find flights\", \"search flights\", \"book a flight\", \"compare airline prices\", \"find cheap flights\", \"fly from X to Y\", \"find connections\", \"find layover options\", or any flight-related travel query. Do NOT use for hotel-only searches, car rentals, or non-flight travel bookings.",{"claudeCode":401},"LetsFG/LetsFG","flight-search","https://github.com/LetsFG/LetsFG",{"basePath":405,"githubOwner":406,"githubRepo":406,"locale":18,"slug":402,"type":252},"skills/flight-search","LetsFG",{"evaluate":408,"extract":414},{"promptVersionExtension":209,"promptVersionScoring":210,"score":409,"tags":410,"targetMarket":223,"tier":282},100,[411,221,412,216,413],"flights","booking","search",{"commitSha":284},{"repoId":416},"kd7d4mhwkp3k1m28hz28hyn2dd86mm88",[216,412,411,413,221],{"evaluatedAt":419,"extractAt":420,"updatedAt":421},1778692265291,1778692220267,1778692489923,{"_creationTime":423,"_id":424,"community":425,"display":426,"identity":432,"providers":435,"relations":445,"tags":448,"workflow":449},1778699170774.1592,"k172e8vt4zcz50bb0vfp6ptb1n86mf90",{"reviewCount":8},{"description":427,"installMethods":428,"name":430,"sourceUrl":431},"Use when the user needs X (Twitter) data or confirmation-gated X actions through Xquik: tweet search, user lookup, follower extraction, media download, monitoring, webhooks, MCP, SDKs, posting, likes, DMs, and profile updates. Requires a Xquik API key. Never ask for X login material.",{"claudeCode":429},"Xquik-dev/x-twitter-scraper","x-twitter-scraper","https://github.com/Xquik-dev/x-twitter-scraper",{"basePath":433,"githubOwner":434,"githubRepo":430,"locale":18,"slug":430,"type":252},"skills/x-twitter-scraper","Xquik-dev",{"evaluate":436,"extract":444},{"promptVersionExtension":209,"promptVersionScoring":210,"score":409,"tags":437,"targetMarket":223,"tier":282},[438,439,216,440,441,442,443],"twitter","x","data-retrieval","automation","mcp","sdk",{"commitSha":284},{"parentExtensionId":446,"repoId":447},"k17axvhmvwp90strpqcd5b0h7986m80d","kd783enpnwhry153ka0z65ear186mjbh",[216,441,440,442,443,438,439],{"evaluatedAt":450,"extractAt":451,"updatedAt":452},1778699230863,1778699170774,1778699296021,{"_creationTime":454,"_id":455,"community":456,"display":457,"identity":463,"providers":467,"relations":473,"tags":475,"workflow":476},1778697652123.8982,"k175ckmrqc4x6sjm90k7ejbj3s86ntxs",{"reviewCount":8},{"description":458,"installMethods":459,"name":461,"sourceUrl":462},"Use the Slack tool to react, pin/unpin, send, edit, delete messages, or fetch Slack member info.",{"claudeCode":460},"steipete/clawdis","slack","https://github.com/steipete/clawdis",{"basePath":464,"githubOwner":465,"githubRepo":466,"locale":18,"slug":461,"type":252},"skills/slack","steipete","clawdis",{"evaluate":468,"extract":472},{"promptVersionExtension":209,"promptVersionScoring":210,"score":409,"tags":469,"targetMarket":223,"tier":282},[461,470,471,441,216],"messaging","communication",{"commitSha":284},{"repoId":474},"kd738npxg9yh3xf3vddzy9fyfh86nhng",[216,441,471,470,461],{"evaluatedAt":477,"extractAt":478,"updatedAt":477},1778698950505,1778697652123,{"_creationTime":480,"_id":481,"community":482,"display":483,"identity":487,"providers":489,"relations":495,"tags":496,"workflow":497},1778697652123.8928,"k171pew5empzzrfghyg9nqrk6n86nqa9",{"reviewCount":8},{"description":484,"installMethods":485,"name":486,"sourceUrl":462},"Use gh for GitHub issues, PR status, CI/logs, comments, reviews, releases, and API queries.",{"claudeCode":460},"github",{"basePath":488,"githubOwner":465,"githubRepo":466,"locale":18,"slug":486,"type":252},"skills/github",{"evaluate":490,"extract":494},{"promptVersionExtension":209,"promptVersionScoring":210,"score":409,"tags":491,"targetMarket":223,"tier":282},[486,492,216,493,441],"cli","developer-tools",{"commitSha":284},{"repoId":474},[216,441,492,493,486],{"evaluatedAt":498,"extractAt":478,"updatedAt":498},1778698569289,{"_creationTime":500,"_id":501,"community":502,"display":503,"identity":509,"providers":513,"relations":521,"tags":523,"workflow":524},1778696993586.708,"k17fsfrfvbnsvwkcqp8y85wdad86mmwq",{"reviewCount":8},{"description":504,"installMethods":505,"name":507,"sourceUrl":508},"Stop and consult this skill whenever your response would include specific facts about Anthropic's products. Covers: Claude Code (how to install, Node.js requirements, platform/OS support, MCP server integration, configuration), Claude API (function calling/tool use, batch processing, SDK usage, rate limits, pricing, models, streaming), and Claude.ai (Pro vs Team vs Enterprise plans, feature limits). Trigger this even for coding tasks that use the Anthropic SDK, content creation mentioning Claude capabilities or pricing, or LLM provider comparisons. Any time you would otherwise rely on memory for Anthropic product details, verify here instead — your training data may be outdated or wrong.",{"claudeCode":506},"SeifBenayed/claude-code-sdk","product-self-knowledge","https://github.com/SeifBenayed/claude-code-sdk",{"basePath":510,"githubOwner":511,"githubRepo":512,"locale":18,"slug":507,"type":252},".claude/skills/product-self-knowledge","SeifBenayed","claude-code-sdk",{"evaluate":514,"extract":520},{"promptVersionExtension":209,"promptVersionScoring":210,"score":409,"tags":515,"targetMarket":223,"tier":282},[516,517,518,216,443,519],"anthropic","documentation","claude","knowledge-base",{"commitSha":284},{"repoId":522},"kd78s53c1852h5p7c3qem663xs86njab",[516,216,518,517,519,443],{"evaluatedAt":525,"extractAt":526,"updatedAt":525},1778697182451,1778696993586,{"_creationTime":528,"_id":529,"community":530,"display":531,"identity":537,"providers":541,"relations":547,"tags":550,"workflow":551},1778696833339.6226,"k17ckxne6mhyf23n1jfyqktpqd86nfz4",{"reviewCount":8},{"description":532,"installMethods":533,"name":535,"sourceUrl":536},"Interact with Google Docs - create documents, search by title, read content, and edit text.\nUse when user asks to: create a Google Doc, find a document, read doc content, add text to a doc,\nor replace text in a document. Lightweight alternative to full Google Workspace MCP server with\nstandalone OAuth authentication.\n",{"claudeCode":534},"sanjay3290/ai-skills","google-docs","https://github.com/sanjay3290/ai-skills",{"basePath":538,"githubOwner":539,"githubRepo":540,"locale":18,"slug":535,"type":252},"skills/google-docs","sanjay3290","ai-skills",{"evaluate":542,"extract":546},{"promptVersionExtension":209,"promptVersionScoring":210,"score":409,"tags":543,"targetMarket":223,"tier":282},[535,216,517,544,545],"oauth","python",{"commitSha":284},{"parentExtensionId":548,"repoId":549},"k17es37z10n1sw6t2m3f0vsydx86mnje","kd71np0fyqg23qg8w2hcfw0h0h86nkn0",[216,517,535,544,545],{"evaluatedAt":552,"extractAt":553,"updatedAt":552},1778696994497,1778696833339]