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Operations","该技能提供配置建议，不执行破坏性操作。",{"category":104,"check":111,"severity":42,"summary":112},"Error Handling","此技能是对话式的，没有需要结构化处理的错误路径。",{"category":104,"check":114,"severity":42,"summary":115},"Logging","该技能是对话式的，不执行需要本地审计日志记录的操作。",{"category":117,"check":118,"severity":42,"summary":119},"Compliance","GDPR","该技能不处理个人数据；它提供 MongoDB 连接的配置建议。",{"category":117,"check":121,"severity":24,"summary":122},"Target market","该技能关于 MongoDB 连接配置的建议在全球范围内普遍适用，不具有特定于区域的逻辑。",{"category":92,"check":124,"severity":24,"summary":125},"Runtime stability","该技能提供配置建议和代码片段，使其能够跨不同环境移植，而无需假定特定的运行时或 shell。",{"category":45,"check":127,"severity":24,"summary":128},"README","README 文件存在，并清楚地说明了扩展的目的和各种平台的安装说明。",{"category":33,"check":130,"severity":42,"summary":131},"Tool surface size","这是一个技能，而不是具有多个已公开命令的工具。",{"category":40,"check":133,"severity":42,"summary":134},"Overlapping near-synonym tools","作为一个技能，它不公开具有重叠功能的工具。",{"category":45,"check":136,"severity":24,"summary":137},"Phantom 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Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.","mongodb-natural-language-querying",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-natural-language-querying/SKILL.md",[416],{"path":380,"priority":332},{"basePath":418,"description":419,"displayName":420,"installMethods":421,"rationale":422,"selectedPaths":423,"source":333,"sourceLanguage":264,"type":254},"skills/mongodb-query-optimizer","Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: \"How do I optimize this query?\", \"How do I index this?\", \"Why is this query slow?\", \"Can you fix my slow queries?\", \"What are the slow queries on my cluster?\", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.","mongodb-query-optimizer",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-query-optimizer/SKILL.md",[424,425,427,429,431],{"path":380,"priority":332},{"path":426,"priority":355},"references/aggregation-optimization.md",{"path":428,"priority":355},"references/antipattern-examples.md",{"path":430,"priority":355},"references/core-indexing-principles.md",{"path":432,"priority":355},"references/update-query-examples.md",{"basePath":434,"description":435,"displayName":436,"installMethods":437,"rationale":438,"selectedPaths":439,"source":333,"sourceLanguage":264,"type":254},"skills/mongodb-schema-design","MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on \"design schema\", \"embed vs reference\", \"MongoDB data model\", \"schema review\", \"unbounded arrays\", \"one-to-many\", \"tree structure\", \"16MB limit\", \"schema validation\", \"JSON Schema\", \"time series\", \"schema migration\", \"polymorphic\", \"TTL\", \"data lifecycle\", \"archive\", \"index explosion\", \"unnecessary indexes\", \"approximation pattern\", \"document versioning\".","mongodb-schema-design",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[440,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475],{"path":380,"priority":332},{"path":442,"priority":355},"references/antipattern-excessive-lookups.md",{"path":444,"priority":355},"references/antipattern-unnecessary-collections.md",{"path":446,"priority":355},"references/antipattern-unnecessary-indexes.md",{"path":448,"priority":355},"references/fundamental-document-model.md",{"path":450,"priority":355},"references/fundamental-document-size.md",{"path":452,"priority":355},"references/fundamental-embed-vs-reference.md",{"path":454,"priority":355},"references/fundamental-schema-validation.md",{"path":456,"priority":355},"references/pattern-approximation.md",{"path":458,"priority":355},"references/pattern-archive.md",{"path":460,"priority":355},"references/pattern-attribute.md",{"path":462,"priority":355},"references/pattern-bucket.md",{"path":464,"priority":355},"references/pattern-computed.md",{"path":466,"priority":355},"references/pattern-document-versioning.md",{"path":468,"priority":355},"references/pattern-extended-reference.md",{"path":470,"priority":355},"references/pattern-outlier.md",{"path":472,"priority":355},"references/pattern-polymorphic.md",{"path":474,"priority":355},"references/pattern-schema-versioning.md",{"path":476,"priority":355},"references/pattern-time-series-collections.md",{"basePath":478,"description":479,"displayName":480,"installMethods":481,"rationale":482,"selectedPaths":483,"source":333,"sourceLanguage":264,"type":254},"skills/mongodb-search-and-ai","Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.\n","mongodb-search-and-ai",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-search-and-ai/SKILL.md",[484,485,487,489,491],{"path":380,"priority":332},{"path":486,"priority":355},"references/hybrid-search.md",{"path":488,"priority":355},"references/lexical-search-indexing.md",{"path":490,"priority":355},"references/lexical-search-querying.md",{"path":492,"priority":355},"references/vector-search.md",{"basePath":494,"description":495,"displayName":496,"installMethods":497,"rationale":498,"selectedPaths":499,"source":333,"sourceLanguage":264,"type":254},"tools/review-skill","Review a proposed Agent Skill for structural validity and content quality before publishing. Runs the skill-validator CLI to check for structural issues, scores the skill with an LLM judge, and interprets results to advise SMEs on what to address. Use when a user wants to review, validate, or quality-check an Agent Skill.","review-skill",{"claudeCode":12},"SKILL.md frontmatter at tools/review-skill/SKILL.md",[500,501,504,506],{"path":380,"priority":332},{"path":502,"priority":503},"assets/report.md","low",{"path":505,"priority":355},"references/install-skill-validator.md",{"path":507,"priority":355},"references/llm-scoring.md",{"sources":509},[510],"manual",{"closedIssues90d":8,"description":271,"forks":241,"license":245,"openIssues90d":8,"pushedAt":242,"readmeSize":239,"stars":243,"topics":512},[513,514,515,516,517,518],"agent","claude","cursor","gemini-cli-extension","mcp","skills",{"classifiedAt":520,"discoverAt":521,"extractAt":522,"githubAt":522,"updatedAt":520},1778694148853,1778694144419,1778694146756,[221,218,217,216,220,219],{"evaluatedAt":525,"extractAt":295,"updatedAt":249},1778694243014,[],[528,554,575,605,627,656],{"_creationTime":529,"_id":530,"community":531,"display":532,"identity":538,"providers":542,"relations":548,"tags":550,"workflow":551},1778687399826.0325,"k17269dg7c9710vn40ysst9cbx86nekj",{"reviewCount":8},{"description":533,"installMethods":534,"name":536,"sourceUrl":537},"Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.",{"claudeCode":535},"github/awesome-copilot","sql-optimization","https://github.com/github/awesome-copilot",{"basePath":539,"githubOwner":540,"githubRepo":541,"locale":264,"slug":536,"type":254},"skills/sql-optimization","github","awesome-copilot",{"evaluate":543,"extract":547},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":544,"targetMarket":282,"tier":222},[545,219,220,217,546],"sql","tuning",{"commitSha":285},{"repoId":549},"kd7dsmv976w8rtkqnjjfdtfgks86nnmw",[217,220,219,545,546],{"evaluatedAt":552,"extractAt":553,"updatedAt":552},1778689968064,1778687399826,{"_creationTime":555,"_id":556,"community":557,"display":558,"identity":561,"providers":562,"relations":569,"tags":571,"workflow":572},1778694392532.535,"k17eqx1548qq4twnvaeg3h866d86nqem",{"reviewCount":8},{"description":559,"installMethods":560,"name":404,"sourceUrl":14},"指导用户配置关键的 MongoDB MCP 服务器选项。当用户已安装 MongoDB MCP 服务器但未配置必需的环境变量，或当他们询问连接到 MongoDB/Atlas 但未设置凭据时，请使用此技能。",{"claudeCode":12},{"basePath":402,"githubOwner":216,"githubRepo":252,"locale":18,"slug":404,"type":254},{"evaluate":563,"extract":568},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":564,"targetMarket":282,"tier":222},[216,517,221,565,566,567],"setup","authentication","cli",{"commitSha":285},{"parentExtensionId":257,"repoId":291,"translatedFrom":570},"k1798fc1hmtx3bmdgwyn3fet2d86mzt5",[566,567,221,517,216,565],{"evaluatedAt":573,"extractAt":295,"updatedAt":574},1778694262565,1778694392532,{"_creationTime":576,"_id":577,"community":578,"display":579,"identity":585,"providers":590,"relations":598,"tags":601,"workflow":602},1778692488329.0164,"k17d7dgccv6vnj9tcw0cehwnph86nryb",{"reviewCount":8},{"description":580,"installMethods":581,"name":583,"sourceUrl":584},"Analyze which rules are actively used vs inert. Detect coverage gaps. Recommend pruning to reduce token consumption.",{"claudeCode":582},"luiseiman/claude-kit","Rule Effectiveness Analysis","https://github.com/luiseiman/claude-kit",{"basePath":586,"githubOwner":587,"githubRepo":588,"locale":264,"slug":589,"type":254},"skills/rule-effectiveness","luiseiman","claude-kit","rule-effectiveness",{"evaluate":591,"extract":596},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":592,"targetMarket":282,"tier":222},[593,221,594,220,595],"claude-code","analysis","git",{"commitSha":285,"license":597},"MIT",{"parentExtensionId":599,"repoId":600},"k17650xadq8363kzchr4w0gmf186nq24","kd79wqc8an5wh20cc2znr8tyb586mxwx",[594,593,221,595,220],{"evaluatedAt":603,"extractAt":604,"updatedAt":603},1778693275143,1778692488329,{"_creationTime":606,"_id":607,"community":608,"display":609,"identity":612,"providers":613,"relations":621,"tags":623,"workflow":624},1778694413837.2078,"k1724c581pj4qca8wdevmzkr0586n034",{"reviewCount":8},{"description":610,"installMethods":611,"name":480,"sourceUrl":14},"指导 MongoDB 用户实现和优化 Atlas Search（全文搜索）、Vector Search（语义搜索）和 Hybrid Search 解决方案。当用户需要为文本查询（自动完成、模糊匹配、分面搜索）、语义相似性（嵌入、RAG 应用）或组合方法构建搜索功能时，请使用此技能。当用户需要文本包含、子字符串匹配（“包含”、“包括”、“出现在”）、不区分大小写或多字段文本搜索，或跨多个字段进行具有可变组合的过滤时，也请使用此技能。提供有关选择正确的搜索类型、创建索引、构建查询和使用 MongoDB MCP 服务器优化性能的工作流。\n",{"claudeCode":12},{"basePath":478,"githubOwner":216,"githubRepo":252,"locale":18,"slug":480,"type":254},{"evaluate":614,"extract":620},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":615,"targetMarket":282,"tier":222},[216,616,617,618,217,619],"atlas-search","vector-search","hybrid-search","search",{"commitSha":285},{"parentExtensionId":257,"repoId":291,"translatedFrom":622},"k17b18bc1pkwm6r3xttpqzefj586ms2r",[616,217,618,216,619,617],{"evaluatedAt":625,"extractAt":295,"updatedAt":626},1778694322274,1778694413837,{"_creationTime":628,"_id":629,"community":630,"display":631,"identity":637,"providers":641,"relations":650,"tags":652,"workflow":653},1778682862751.9475,"k177bn4hpsv2417q7fvbdtwav586ny65",{"reviewCount":8},{"description":632,"installMethods":633,"name":635,"sourceUrl":636},"Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL operations, query plan explainability, and SQL compatibility validation. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow.",{"claudeCode":634},"awslabs/mcp","dsql","https://github.com/awslabs/mcp",{"basePath":638,"githubOwner":639,"githubRepo":517,"locale":264,"slug":640,"type":254},"src/aurora-dsql-mcp-server/skills/dsql-skill","awslabs","dsql-skill",{"evaluate":642,"extract":649},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":643,"targetMarket":282,"tier":222},[217,545,644,645,635,646,647,648,219],"aws","aurora","migration","schema","query",{"commitSha":285},{"repoId":651},"kd71cq56hfddetnwspw92kb09x86mbzy",[645,644,217,635,646,219,648,647,545],{"evaluatedAt":654,"extractAt":655,"updatedAt":654},1778682978663,1778682862752,{"_creationTime":657,"_id":658,"community":659,"display":660,"identity":666,"providers":671,"relations":678,"tags":680,"workflow":681},1778696691708.3035,"k17br1j5s86ae90zqeyd7zcg2586mkwr",{"reviewCount":8},{"description":661,"installMethods":662,"name":664,"sourceUrl":665},"Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms\n",{"claudeCode":663},"ruvnet/ruflo","Performance Analysis","https://github.com/ruvnet/ruflo",{"basePath":667,"githubOwner":668,"githubRepo":669,"locale":264,"slug":670,"type":254},".claude/skills/performance-analysis","ruvnet","ruflo","performance-analysis",{"evaluate":672,"extract":677},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":673,"targetMarket":282,"tier":222},[219,594,220,674,675,676],"claude-flow","bottleneck-detection","reporting",{"commitSha":285,"license":597},{"repoId":679},"kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[594,675,674,220,219,676],{"evaluatedAt":682,"extractAt":683,"updatedAt":682},1778699217174,1778696691708]