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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. 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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\".",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[446,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481],{"path":386,"priority":338},{"path":448,"priority":361},"references/antipattern-excessive-lookups.md",{"path":450,"priority":361},"references/antipattern-unnecessary-collections.md",{"path":452,"priority":361},"references/antipattern-unnecessary-indexes.md",{"path":454,"priority":361},"references/fundamental-document-model.md",{"path":456,"priority":361},"references/fundamental-document-size.md",{"path":458,"priority":361},"references/fundamental-embed-vs-reference.md",{"path":460,"priority":361},"references/fundamental-schema-validation.md",{"path":462,"priority":361},"references/pattern-approximation.md",{"path":464,"priority":361},"references/pattern-archive.md",{"path":466,"priority":361},"references/pattern-attribute.md",{"path":468,"priority":361},"references/pattern-bucket.md",{"path":470,"priority":361},"references/pattern-computed.md",{"path":472,"priority":361},"references/pattern-document-versioning.md",{"path":474,"priority":361},"references/pattern-extended-reference.md",{"path":476,"priority":361},"references/pattern-outlier.md",{"path":478,"priority":361},"references/pattern-polymorphic.md",{"path":480,"priority":361},"references/pattern-schema-versioning.md",{"path":482,"priority":361},"references/pattern-time-series-collections.md",{"basePath":484,"description":485,"displayName":486,"installMethods":487,"rationale":488,"selectedPaths":489,"source":339,"sourceLanguage":269,"type":259},"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",[490,491,493,495,497],{"path":386,"priority":338},{"path":492,"priority":361},"references/hybrid-search.md",{"path":494,"priority":361},"references/lexical-search-indexing.md",{"path":496,"priority":361},"references/lexical-search-querying.md",{"path":498,"priority":361},"references/vector-search.md",{"basePath":500,"description":501,"displayName":502,"installMethods":503,"rationale":504,"selectedPaths":505,"source":339,"sourceLanguage":269,"type":259},"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",[506,507,510,512],{"path":386,"priority":338},{"path":508,"priority":509},"assets/report.md","low",{"path":511,"priority":361},"references/install-skill-validator.md",{"path":513,"priority":361},"references/llm-scoring.md",{"sources":515},[516],"manual",{"closedIssues90d":8,"description":276,"forks":246,"license":250,"openIssues90d":8,"pushedAt":247,"readmeSize":244,"stars":248,"topics":518},[519,520,521,522,523,524],"agent","claude","cursor","gemini-cli-extension","mcp","skills",{"classifiedAt":526,"discoverAt":527,"extractAt":528,"githubAt":528,"updatedAt":526},1778694148853,1778694144419,1778694146756,[222,221,219,223,220],{"evaluatedAt":531,"extractAt":300,"updatedAt":254},1778694306222,[],[534,556,585,607,632,659],{"_creationTime":535,"_id":536,"community":537,"display":538,"identity":542,"providers":543,"relations":550,"tags":552,"workflow":553},1778694375752.5935,"k176q0fcrs34d0qgcw5zcfr7e186mppv",{"reviewCount":8},{"description":539,"installMethods":540,"name":541,"sourceUrl":14},"为任何支持的驱动程序语言优化 MongoDB 客户端连接配置（池、超时、模式）。在处理/更新/审查实例化或配置 MongoDB 客户端（例如，调用 `connect()` 时）、配置连接池、对连接错误（ECONNREFUSED、超时、池耗尽）进行故障排除、优化与连接相关的性能问题时，请使用此技能。这包括构建具有 MongoDB 的无服务器函数、创建使用 MongoDB 的 API 端点、优化高流量 MongoDB 应用程序、创建长期运行任务和并发性，或调试与连接相关的失败等场景。",{"claudeCode":12},"MongoDB Connection Optimizer",{"basePath":400,"githubOwner":219,"githubRepo":257,"locale":18,"slug":402,"type":259},{"evaluate":544,"extract":549},{"promptVersionExtension":212,"promptVersionScoring":213,"score":304,"tags":545,"targetMarket":287,"tier":224},[219,221,546,223,547,548],"connection","optimization","configuration",{"commitSha":290,"license":250},{"parentExtensionId":262,"repoId":296,"translatedFrom":551},"k175wmq2n17n23xzphj2zzt3qs86n3xd",[548,546,221,219,547,223],{"evaluatedAt":554,"extractAt":300,"updatedAt":555},1778694243014,1778694375752,{"_creationTime":557,"_id":558,"community":559,"display":560,"identity":566,"providers":570,"relations":579,"tags":581,"workflow":582},1778682862751.9475,"k177bn4hpsv2417q7fvbdtwav586ny65",{"reviewCount":8},{"description":561,"installMethods":562,"name":564,"sourceUrl":565},"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":563},"awslabs/mcp","dsql","https://github.com/awslabs/mcp",{"basePath":567,"githubOwner":568,"githubRepo":523,"locale":269,"slug":569,"type":259},"src/aurora-dsql-mcp-server/skills/dsql-skill","awslabs","dsql-skill",{"evaluate":571,"extract":578},{"promptVersionExtension":212,"promptVersionScoring":213,"score":304,"tags":572,"targetMarket":287,"tier":224},[221,573,574,575,564,576,220,577,223],"sql","aws","aurora","migration","query",{"commitSha":290},{"repoId":580},"kd71cq56hfddetnwspw92kb09x86mbzy",[575,574,221,564,576,223,577,220,573],{"evaluatedAt":583,"extractAt":584,"updatedAt":583},1778682978663,1778682862752,{"_creationTime":586,"_id":587,"community":588,"display":589,"identity":592,"providers":593,"relations":601,"tags":603,"workflow":604},1778694413837.2078,"k1724c581pj4qca8wdevmzkr0586n034",{"reviewCount":8},{"description":590,"installMethods":591,"name":486,"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":484,"githubOwner":219,"githubRepo":257,"locale":18,"slug":486,"type":259},{"evaluate":594,"extract":600},{"promptVersionExtension":212,"promptVersionScoring":213,"score":304,"tags":595,"targetMarket":287,"tier":224},[219,596,597,598,221,599],"atlas-search","vector-search","hybrid-search","search",{"commitSha":290},{"parentExtensionId":262,"repoId":296,"translatedFrom":602},"k17b18bc1pkwm6r3xttpqzefj586ms2r",[596,221,598,219,599,597],{"evaluatedAt":605,"extractAt":300,"updatedAt":606},1778694322274,1778694413837,{"_creationTime":608,"_id":609,"community":610,"display":611,"identity":617,"providers":621,"relations":626,"tags":628,"workflow":629},1778687399826.0325,"k17269dg7c9710vn40ysst9cbx86nekj",{"reviewCount":8},{"description":612,"installMethods":613,"name":615,"sourceUrl":616},"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":614},"github/awesome-copilot","sql-optimization","https://github.com/github/awesome-copilot",{"basePath":618,"githubOwner":619,"githubRepo":620,"locale":269,"slug":615,"type":259},"skills/sql-optimization","github","awesome-copilot",{"evaluate":622,"extract":625},{"promptVersionExtension":212,"promptVersionScoring":213,"score":304,"tags":623,"targetMarket":287,"tier":224},[573,223,547,221,624],"tuning",{"commitSha":290},{"repoId":627},"kd7dsmv976w8rtkqnjjfdtfgks86nnmw",[221,547,223,573,624],{"evaluatedAt":630,"extractAt":631,"updatedAt":630},1778689968064,1778687399826,{"_creationTime":633,"_id":634,"community":635,"display":636,"identity":642,"providers":646,"relations":651,"tags":654,"workflow":655},1778683678500.5625,"k17a184zt843sk1j9qt1x7ah4586m0ej",{"reviewCount":8},{"description":637,"installMethods":638,"name":640,"sourceUrl":641},"DBHub MCP 服务器查询数据库指南。每当您需要通过 DBHub 的 MCP 工具（search_objects、execute_sql）来探索数据库模式、检查表或运行 SQL 查询时，请使用此技能。在任何数据库查询任务、模式探索、数据检索或通过 MCP 执行 SQL 时激活，即使用户只说“检查数据库”或“为我查找一些数据”。此技能可确保您遵循正确的先探索后查询的工作流程，而不是猜测表结构。",{"claudeCode":639},"bytebase/dbhub","DBHub Database Query Guide","https://github.com/bytebase/dbhub",{"basePath":643,"githubOwner":644,"githubRepo":645,"locale":18,"slug":645,"type":259},"skills/dbhub","bytebase","dbhub",{"evaluate":647,"extract":649},{"promptVersionExtension":212,"promptVersionScoring":213,"score":304,"tags":648,"targetMarket":287,"tier":224},[221,573,577,220,523,644],{"commitSha":290,"license":650},"MIT",{"repoId":652,"translatedFrom":653},"kd75gz890g3h6zj0xf3qtbrdjd86mpw3","k17a9cav35ya4h38sccx3r3d5d86mr2y",[644,221,523,577,220,573],{"evaluatedAt":656,"extractAt":657,"updatedAt":658},1778683601748,1778683522639,1778683678500,{"_creationTime":660,"_id":661,"community":662,"display":663,"identity":669,"providers":672,"relations":678,"tags":682,"workflow":683},1778697939909.8792,"k170m27smymn49mgrbpwz23vnh86mc0m",{"reviewCount":8},{"description":664,"installMethods":665,"name":667,"sourceUrl":668},"来自 Supabase 的 Postgres 性能优化和最佳实践。在编写、审查或优化 Postgres 查询、模式设计或数据库配置时，请使用此技能。",{"claudeCode":666},"supabase/agent-skills","supabase-postgres-best-practices","https://github.com/supabase/agent-skills",{"basePath":670,"githubOwner":671,"githubRepo":257,"locale":18,"slug":667,"type":259},"skills/supabase-postgres-best-practices","supabase",{"evaluate":673,"extract":677},{"promptVersionExtension":212,"promptVersionScoring":213,"score":216,"tags":674,"targetMarket":287,"tier":224},[675,573,223,547,220,676],"postgres","best-practices",{"commitSha":290},{"parentExtensionId":679,"repoId":680,"translatedFrom":681},"k170hrswycfq556p713vzeqg5586nhg4","kd7dwty9y1efv0wztdwgh1x9w186n12k","k17fbv6g1x0t6xarhsc4jgw4rs86nk95",[676,547,223,675,220,573],{"evaluatedAt":684,"extractAt":685,"updatedAt":686},1778697909644,1778697815468,1778697939910]