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Server，依赖项固定由该组件管理。",{"category":215,"check":333,"severity":206,"summary":334},"Dry-run preview","虽然并非所有 MCP 工具都提供直接的 dry-run 标志，但该技能强调用户确认，并在执行前提供操作的详细说明，尤其对于破坏性操作。",{"category":336,"check":337,"severity":206,"summary":338},"Protocol","Idempotent retry & timeouts","该技能利用 MCP 服务器的工具，这些工具应在适用的情况下处理具有适当超时和幂等的 istoperation。",{"category":299,"check":340,"severity":206,"summary":341},"Telemetry opt-in","该技能本身不发出遥测数据；遥测数据将由代理或 MCP 服务器处理，遵循它们各自的 opt-in/out 机制。",{"category":222,"check":343,"severity":206,"summary":344},"Name collisions","捆绑的技能（`mongodb-atlas-stream-processing`）具有独特的名称和范围，避免了与其他技能或 MCP 的冲突。",{"category":222,"check":346,"severity":245,"summary":347},"Hooks-off mechanism","此扩展不使用需要 hooks-off 机制的 hooks。",{"category":222,"check":349,"severity":245,"summary":350},"Hook matcher tightness","此扩展不使用 hooks。",{"category":248,"check":352,"severity":245,"summary":350},"Hook security",{"category":270,"check":354,"severity":245,"summary":355},"Silent prompt rewriting","此扩展不使用会重写提示的 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预计来自可靠且版本化的软件包或存储库。",{"category":382,"check":383,"severity":206,"summary":384},"Installation","Clean uninstall","该技能不安装后台守护程序或持久服务；卸载该插件会干净地移除其组件。",1778694205204,"此技能使用户能够管理 MongoDB Atlas Stream Processing (ASP) 工作流，包括工作区配置、数据源/接收器连接、处理器生命周期操作和调试诊断，并利用 MongoDB MCP Server。",[388,389,390,391,392],"管理 ASP 工作流和资源","构建和配置连接和处理器","操作和调试正在运行的处理器","安全地拆除 ASP 资源","与 MongoDB MCP Server 集成",[394,395,396,397],"通用的 MongoDB 查询编写或优化。","管理非 ASP 相关的 MongoDB Atlas 功能。","直接与 Atlas PrivateLink 之外的云提供商网络进行交互。","在 ASP 工具使用范围之外编写或验证单个管道阶段。","为在 MongoDB Atlas 中构建、操作和调试复杂数据流管道提供一种引导式且安全的方式。","该技能文档极其完善，以详细的工作流涵盖了复杂的领域，并与 MongoDB MCP 服务器无缝集成，展示了高度的生产就绪性和可维护性。所有检查均已通过。","用于管理 MongoDB Atlas Stream Processing 的优秀技能，提供全面的工作流和强大的安全功能。",[20,31,32,33,402],"cloud-management",[404,405,406,407],"从头开始设置新的 Atlas Stream Processing 管道。","修改或更新现有的 ASP 处理器配置。","对失败的 ASP 处理器进行故障排除和调试。","安全地删除 ASP 工作区及其关联资源。",{"codeQuality":409,"collectedAt":411,"documentation":412,"maintenance":415,"security":420,"testCoverage":421},{"hasLockfile":410},false,1778694188482,{"descriptionLength":413,"readmeSize":414},218,2753,{"closedIssues90d":11,"forks":416,"hasChangelog":410,"manifestVersion":417,"openIssues90d":11,"pushedAt":418,"stars":419},20,"1.1.0",1778514087000,111,{"hasNpmPackage":410,"license":39,"smitheryVerified":410},{"hasCi":422,"hasTests":410},true,{"updatedAt":424},1778694373938,{"basePath":426,"githubOwner":20,"githubRepo":21,"locale":22,"slug":21,"type":427},"","plugin",{"_creationTime":429,"_id":430,"community":431,"display":432,"identity":436,"parentExtension":439,"providers":440,"relations":452,"tags":453,"workflow":454},1778694149049.346,"k17bjnvrfwx0ae2fnz7yj78p6h86mewp",{"reviewCount":11},{"description":433,"installMethods":434,"name":435,"sourceUrl":17},"Use the official MongoDB Skills with your favorite coding agent to build 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Connect to databases, explore data, manage collections, optimize queries, generate reliable code, implement best practices, develop advanced features, and more.",{"claudeCode":20},"plugin manifest at .claude-plugin/plugin.json",[496,498,499,500,503,505,507,509,511,513,515,517],{"path":497,"priority":478},".claude-plugin/plugin.json",{"path":487,"priority":478},{"path":489,"priority":490},{"path":501,"priority":502},"skills/atlas-stream-processing/SKILL.md","medium",{"path":504,"priority":502},"skills/mongodb-connection/SKILL.md",{"path":506,"priority":502},"skills/mongodb-mcp-setup/SKILL.md",{"path":508,"priority":502},"skills/mongodb-natural-language-querying/SKILL.md",{"path":510,"priority":502},"skills/mongodb-query-optimizer/SKILL.md",{"path":512,"priority":502},"skills/mongodb-schema-design/SKILL.md",{"path":514,"priority":502},"skills/mongodb-search-and-ai/SKILL.md",{"path":516,"priority":490},".codex-plugin/plugin.json",{"path":518,"priority":490},".cursor-plugin/plugin.json",{"basePath":19,"description":520,"displayName":23,"installMethods":521,"rationale":522,"selectedPaths":523,"source":479,"sourceLanguage":437,"type":24},"Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.",{"claudeCode":15},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[524,526,528,530,532,534,536],{"path":525,"priority":478},"SKILL.md",{"path":527,"priority":502},"references/connection-configs.md",{"path":529,"priority":502},"references/development-workflow.md",{"path":531,"priority":502},"references/mcp-troubleshooting.md",{"path":533,"priority":502},"references/output-diagnostics.md",{"path":535,"priority":502},"references/pipeline-patterns.md",{"path":537,"priority":502},"references/sizing-and-parallelism.md",{"basePath":58,"description":539,"displayName":59,"installMethods":540,"rationale":541,"selectedPaths":542,"source":479,"sourceLanguage":437,"type":24},"Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-connection/SKILL.md",[543,544],{"path":525,"priority":478},{"path":545,"priority":502},"references/monitoring-guide.md",{"basePath":85,"description":547,"displayName":83,"installMethods":548,"rationale":549,"selectedPaths":550,"source":479,"sourceLanguage":437,"type":24},"Guide users through configuring key MongoDB MCP server options. Use this skill when a user has the MongoDB MCP server installed but hasn't configured the required environment variables, or when they ask about connecting to MongoDB/Atlas and don't have the credentials set up.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-mcp-setup/SKILL.md",[551],{"path":525,"priority":478},{"basePath":109,"description":553,"displayName":107,"installMethods":554,"rationale":555,"selectedPaths":556,"source":479,"sourceLanguage":437,"type":24},"Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks \"how do I query...\", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. 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.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-natural-language-querying/SKILL.md",[557],{"path":525,"priority":478},{"basePath":133,"description":559,"displayName":131,"installMethods":560,"rationale":561,"selectedPaths":562,"source":479,"sourceLanguage":437,"type":24},"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.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-query-optimizer/SKILL.md",[563,564,566,568,570],{"path":525,"priority":478},{"path":565,"priority":502},"references/aggregation-optimization.md",{"path":567,"priority":502},"references/antipattern-examples.md",{"path":569,"priority":502},"references/core-indexing-principles.md",{"path":571,"priority":502},"references/update-query-examples.md",{"basePath":155,"description":573,"displayName":156,"installMethods":574,"rationale":575,"selectedPaths":576,"source":479,"sourceLanguage":437,"type":24},"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\".",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[577,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612],{"path":525,"priority":478},{"path":579,"priority":502},"references/antipattern-excessive-lookups.md",{"path":581,"priority":502},"references/antipattern-unnecessary-collections.md",{"path":583,"priority":502},"references/antipattern-unnecessary-indexes.md",{"path":585,"priority":502},"references/fundamental-document-model.md",{"path":587,"priority":502},"references/fundamental-document-size.md",{"path":589,"priority":502},"references/fundamental-embed-vs-reference.md",{"path":591,"priority":502},"references/fundamental-schema-validation.md",{"path":593,"priority":502},"references/pattern-approximation.md",{"path":595,"priority":502},"references/pattern-archive.md",{"path":597,"priority":502},"references/pattern-attribute.md",{"path":599,"priority":502},"references/pattern-bucket.md",{"path":601,"priority":502},"references/pattern-computed.md",{"path":603,"priority":502},"references/pattern-document-versioning.md",{"path":605,"priority":502},"references/pattern-extended-reference.md",{"path":607,"priority":502},"references/pattern-outlier.md",{"path":609,"priority":502},"references/pattern-polymorphic.md",{"path":611,"priority":502},"references/pattern-schema-versioning.md",{"path":613,"priority":502},"references/pattern-time-series-collections.md",{"basePath":178,"description":615,"displayName":176,"installMethods":616,"rationale":617,"selectedPaths":618,"source":479,"sourceLanguage":437,"type":24},"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",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-search-and-ai/SKILL.md",[619,620,622,624,626],{"path":525,"priority":478},{"path":621,"priority":502},"references/hybrid-search.md",{"path":623,"priority":502},"references/lexical-search-indexing.md",{"path":625,"priority":502},"references/lexical-search-querying.md",{"path":627,"priority":502},"references/vector-search.md",{"basePath":629,"description":630,"displayName":631,"installMethods":632,"rationale":633,"selectedPaths":634,"source":479,"sourceLanguage":437,"type":24},"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. 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