[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-mongodb-atlas-stream-processing-zh-CN":3,"guides-for-mongodb-atlas-stream-processing":504,"similar-k17afz7za1j2qh684t6d8e990186n58m-zh-CN":505},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":229,"isFallback":213,"parentExtension":234,"providers":290,"relations":294,"repo":296,"tags":501,"workflow":502},1778694376051.5347,"k17afz7za1j2qh684t6d8e990186n58m",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"管理 MongoDB Atlas Stream Processing (ASP) 工作流。负责工作空间预配、数据源/接收器连接、处理器生命周期操作、调试诊断和层大小调整。支持 Kafka、Atlas 集群、S3、HTTPS 和 Lambda 集成，用于流式处理数据工作负载和事件处理。不适用于常规 MongoDB 查询或 Atlas 集群管理。需要带有 Atlas API 凭证的 MongoDB MCP Server。",{"claudeCode":12},"mongodb/agent-skills","MongoDB Atlas Stream Processing","https://github.com/mongodb/agent-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":211,"workflow":227},1778694376051.535,"kn7c3e0rz6k51h64kxyp7syvs586ndyj","zh-CN",{"checks":20,"evaluatedAt":176,"extensionSummary":177,"features":178,"nonGoals":184,"practices":188,"prerequisites":189,"promptVersionExtension":193,"promptVersionScoring":194,"purpose":195,"rationale":196,"score":197,"summary":198,"tags":199,"tier":205,"useCases":206},[21,26,29,32,36,39,43,46,50,54,58,61,64,68,71,75,79,82,85,88,91,94,97,101,104,108,112,116,119,123,127,130,133,136,139,142,145,149,153,156,159,162,165,169,173],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","描述清楚地确定了管理 MongoDB Atlas Stream Processing (ASP) 工作流的问题，并明确了其范围，将其与常规 MongoDB 操作区分开来。",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","该技能通过处理 ASP 工作流的复杂生命周期操作、诊断和集成，提供了超越简单 API 包装器的重要价值，而这些是基本提示难以实现的。",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","该技能涵盖了 ASP 工作流的完整生命周期，包括预配、管理、调试和层大小调整，并为高级配置和故障排除提供了详细的参考，表明其已准备好投入生产使用。",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","该技能专注于管理 MongoDB Atlas Stream Processing (ASP) 工作流，其工具是内聚的，涵盖了 ASP 资源的完整生命周期，而没有扩展到无关的领域。",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","描述简洁、准确，并有效地传达了该技能的目的、功能、支持的集成和先决条件。",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Precise Purpose","描述清楚地说明了工件（ASP 工作流）和用户意图（管理、预配、调试），以及明确的非目标，从而提供了精确的路由信息。",{"category":40,"check":44,"severity":24,"summary":45},"Concise Frontmatter","SKILL.md 中的 frontmatter 内容丰富，并在前 160 个字符内有效地总结了核心功能和触发器。",{"category":47,"check":48,"severity":24,"summary":49},"Documentation","Concise Body","SKILL.md 文件结构良好，将大量材料委托给参考文件，并保持在合理的长度内，遵循渐进披露原则。",{"category":51,"check":52,"severity":24,"summary":53},"Context","Progressive Disclosure","有关管道模式、连接配置和故障排除的详细信息已组织到单独的参考文件中，并从主 SKILL.md 链接，从而实现渐进披露。",{"category":51,"check":55,"severity":56,"summary":57},"Forked exploration","not_applicable","该技能不主要关注深度探索或代码审查，因此 `context: fork` 不适用。",{"category":22,"check":59,"severity":24,"summary":60},"Usage examples","SKILL.md 提供了足够的、端到端的针对核心工作流、管道模式和连接类型的示例，展示了具体的输入和预期的输出。",{"category":22,"check":62,"severity":24,"summary":63},"Edge cases","技能说明和参考文件记录了多种场景下的众多故障模式、限制和恢复步骤，例如连接错误、管道问题和性能调优。",{"category":65,"check":66,"severity":24,"summary":67},"Code Execution","Halt on unexpected state","开发工作流文档要求在部署前进行连接验证，并强调在修改前停止处理器，确保操作状态可控。",{"category":69,"check":66,"severity":24,"summary":70},"Safety","技能文档要求在修改或删除之前进行连接验证和停止处理器，确保关键操作受到意外状态的保护。",{"category":72,"check":73,"severity":24,"summary":74},"Portability","Cross-skill coupling","该技能是独立的，通过其 MCP 工具管理 ASP 工作流。它不隐式依赖其他技能，并且与相关文档的交叉引用是明确的。",{"category":76,"check":77,"severity":24,"summary":78},"Security","Secret Management","该技能依赖 MCP Server 的提取协议来处理 API 凭证等敏感字段，防止它们在管道或日志中暴露。",{"category":76,"check":80,"severity":24,"summary":81},"Injection","该技能操作结构化的配置和命令，不加载或执行可能用于注入的任意外部数据。",{"category":76,"check":83,"severity":24,"summary":84},"Transitive Supply-Chain Grenades","该技能主要使用已提交的配置和 MCP 工具；没有迹象表明从外部 URL 运行时获取代码或指令。",{"category":76,"check":86,"severity":24,"summary":87},"Sandbox Isolation","该技能与 MCP Server 和 Atlas API 交互，它们在隔离的环境中运行。文件操作（如果有）被假定在 MCP Server 的托管范围内。",{"category":76,"check":89,"severity":24,"summary":90},"Sandbox escape primitives","该技能的指令侧重于 API 调用和配置，没有证据表明存在分离的进程或围绕被拒绝的操作的重试循环。",{"category":76,"check":92,"severity":24,"summary":93},"Data Exfiltration","该技能依赖 MCP Server 安全地处理 API 凭证，并且不指示代理泄露机密数据。",{"category":76,"check":95,"severity":24,"summary":96},"Hidden Text Tricks","捆绑的内容和文档似乎没有隐藏文本技巧、控制字符或混淆技术。",{"category":98,"check":99,"severity":24,"summary":100},"Hooks","Opaque code execution","该技能的逻辑通过 MCP 工具和文档化的配置实现，没有证据表明存在混淆或 base64 编码的代码执行。",{"category":72,"check":102,"severity":24,"summary":103},"Structural Assumption","该技能操作由 MCP Server 管理的 Atlas 资源和配置，而不是特定的用户项目文件布局，从而避免了结构性假设。",{"category":105,"check":106,"severity":24,"summary":107},"Trust","Issues Attention","在过去的 90 天里，没有未解决的打开问题，也没有未解决的关闭问题，这表明参与度很高或项目创建/稳定状态非常新。",{"category":109,"check":110,"severity":24,"summary":111},"Versioning","Release Management","技能清单声明了一个版本（1.0.0），确保版本可清晰检测。",{"category":113,"check":114,"severity":56,"summary":115},"Execution","Pinned dependencies","该技能通过 MCP Server 及其工具运行，而不是直接管理外部脚本依赖项或解释器。",{"category":33,"check":117,"severity":24,"summary":118},"Dry-run preview","虽然没有明确提到所有操作的直接 dry-run 标志，但工作流强调在执行破坏性操作之前进行用户确认和详细的输出检查，起到了类似的作用。",{"category":120,"check":121,"severity":56,"summary":122},"Protocol","Idempotent retry & timeouts","该技能的操作由 MCP Server 和 Atlas API 处理，它们预计会管理幂等性和超时，而不是直接在技能的逻辑中实现。",{"category":124,"check":125,"severity":56,"summary":126},"Compliance","GDPR","该技能管理基础设施配置和 API 凭证，而不是最终用户的个人数据，因此 GDPR 合规性不直接适用。",{"category":124,"check":128,"severity":24,"summary":129},"Target market","该技能操作 MongoDB Atlas 资源，这些资源是全球可用的，并且文档没有表明任何区域限制。",{"category":72,"check":131,"severity":24,"summary":132},"Runtime stability","该技能依赖 MCP Server 和标准的 Atlas API，抽象了操作系统或 shell 依赖项，确保了广泛的运行时稳定性。",{"category":47,"check":134,"severity":24,"summary":135},"README","README 提供了清晰的各种平台安装说明，并链接到官方 MongoDB Agent Skills 文档。",{"category":33,"check":137,"severity":24,"summary":138},"Tool surface size","该技能暴露了四个主要的 MCP 工具（discover、build、manage、teardown），这在理想范围内。",{"category":40,"check":140,"severity":24,"summary":141},"Overlapping near-synonym tools","这些工具在功能上是不同的（discover、build、manage、teardown），并且没有重叠的近义词名称。",{"category":47,"check":143,"severity":24,"summary":144},"Phantom features","所有宣传的功能，如工作空间预配、连接管理和处理器生命周期操作，都得到了文档化 MCP 工具的支持。",{"category":146,"check":147,"severity":24,"summary":148},"Install","Installation instruction","README 提供了针对多个平台（Claude、Cursor、Codex、Gemini、Copilot CLI、Vercel、local）的全面、可复制粘贴的安装说明，并提到了 MCP 服务器设置。",{"category":150,"check":151,"severity":24,"summary":152},"Errors","Actionable error messages","技能文档和参考文件广泛涵盖了错误处理，包括特定的错误消息、根本原因和各种故障场景的恢复步骤。",{"category":65,"check":154,"severity":24,"summary":155},"Validation","该技能依赖 MCP Server 和 Atlas API 来验证配置和参数，确保数据完整性和安全性。",{"category":76,"check":157,"severity":24,"summary":158},"Unguarded Destructive Operations","诸如工作空间删除之类的破坏性操作受到明确的用户确认步骤和安全检查的保护，如安全规则中所记录的那样。",{"category":65,"check":160,"severity":24,"summary":161},"Error Handling","该技能依赖 MCP Server 和 Atlas API 进行错误处理，并提供有关诊断和从各种错误状态恢复的详细文档。",{"category":65,"check":163,"severity":24,"summary":164},"Logging","技能文档表明操作会被记录下来并且可以进行审查，特别是通过诊断和 Atlas UI 日志进行故障排除。",{"category":166,"check":167,"severity":24,"summary":168},"License","License usability","该扩展根据 Apache-2.0 许可证授权，这是一个允许性的开源许可证。",{"category":170,"check":171,"severity":24,"summary":172},"Maintenance","Commit recency","最后一次提交是在 2026 年 5 月 11 日，即最近 3 个月内。",{"category":170,"check":174,"severity":56,"summary":175},"Dependency Management","该技能通过 MCP 服务器和 Atlas API 运行，并且似乎不直接管理第三方依赖项。",1778694226203,"此技能管理 MongoDB Atlas Stream Processing (ASP) 工作流，包括工作空间预配、数据源/接收器连接、处理器生命周期操作、调试和层大小调整。它支持 Kafka、Atlas 集群、S3、HTTPS 和 Lambda 等各种集成，需要带有 Atlas API 凭证的 MongoDB MCP Server。",[179,180,181,182,183],"工作空间预配和管理","数据源和接收器连接配置","处理器生命周期操作（创建、启动、停止、修改、删除）","调试诊断和健康报告","层大小调整和性能调优",[185,186,187],"执行常规 MongoDB 查询或数据操作","直接管理 Atlas 集群（Stream Processing 连接除外）","处理 MCP Server 配置之外的身份验证",[],[190,191,192],"MongoDB MCP Server","Atlas API 凭证 (apiClientId, apiClientSecret)","Atlas 项目 ID","3.0.0","4.4.0","通过结构化的、工具驱动的工作流，使用户能够高效地构建、操作和调试 MongoDB Atlas Stream Processing (ASP) 管道。","没有关键或警告发现，表明这是一个高质量且已准备好投入生产的技能。由于其全面的文档和强大的功能集，该分数在已验证的范围内处于较高位置。",98,"一个健壮且文档齐全的技能，用于管理 MongoDB Atlas Stream Processing 工作流。",[200,201,202,203,204],"mongodb","atlas","streaming","data-pipelines","workflow-automation","verified",[207,208,209,210],"从头开始设置新的 Atlas Stream Processing 工作流","修改现有的处理器管道和配置","调试和故障排除失败或缓慢的处理器","管理与 Kafka、S3、Lambda 和其他数据源/接收器的连接",{"codeQuality":212,"collectedAt":214,"documentation":215,"maintenance":218,"security":223,"testCoverage":225},{"hasLockfile":213},false,1778694208756,{"descriptionLength":216,"readmeSize":217},425,2753,{"closedIssues90d":8,"forks":219,"hasChangelog":213,"manifestVersion":220,"openIssues90d":8,"pushedAt":221,"stars":222},20,"1.0.0",1778514087000,111,{"hasNpmPackage":213,"license":224,"smitheryVerified":213},"Apache-2.0",{"hasCi":226,"hasTests":213},true,{"updatedAt":228},1778694376051,{"basePath":230,"githubOwner":200,"githubRepo":231,"locale":18,"slug":232,"type":233},"skills/atlas-stream-processing","agent-skills","atlas-stream-processing","skill",{"_creationTime":235,"_id":236,"community":237,"display":238,"identity":241,"parentExtension":245,"providers":277,"relations":285,"tags":286,"workflow":287},1778694149049.3462,"k170hje3xzpy2mbkn00agzm38x86mkbz",{"reviewCount":8},{"description":239,"installMethods":240,"name":200,"sourceUrl":14},"Official Claude plugin for MongoDB (MCP Server + Skills). Connect to databases, explore data, manage collections, optimize queries, generate reliable code, implement best practices, develop advanced features, and more.",{"claudeCode":200},{"basePath":242,"githubOwner":200,"githubRepo":231,"locale":243,"slug":231,"type":244},"","en","plugin",{"_creationTime":246,"_id":247,"community":248,"display":249,"identity":253,"providers":255,"relations":270,"tags":272,"workflow":273},1778694149049.346,"k17bjnvrfwx0ae2fnz7yj78p6h86mewp",{"reviewCount":8},{"description":250,"installMethods":251,"name":252,"sourceUrl":14},"Use the official MongoDB Skills with your favorite coding agent to build faster.",{"claudeCode":12},"mongodb-plugins",{"basePath":242,"githubOwner":200,"githubRepo":231,"locale":243,"slug":231,"type":254},"marketplace",{"evaluate":256,"extract":264},{"promptVersionExtension":257,"promptVersionScoring":194,"score":258,"tags":259,"targetMarket":262,"tier":263},"3.1.0",75,[200,260,231,261],"database","developer-tools","global","community",{"commitSha":265,"marketplace":266,"plugin":268},"HEAD",{"name":252,"pluginCount":267},1,{"mcpCount":8,"provider":269,"skillCount":8},"classify",{"repoId":271},"kd74vahs1zbjqzqbert490xyrd86nfv5",[231,260,261,200],{"evaluatedAt":274,"extractAt":275,"updatedAt":276},1778694174645,1778694149049,1778694461056,{"evaluate":278,"extract":282},{"promptVersionExtension":193,"promptVersionScoring":194,"score":279,"tags":280,"targetMarket":262,"tier":205},100,[200,201,202,203,281],"cloud-management",{"commitSha":265,"license":224,"plugin":283},{"mcpCount":8,"provider":269,"skillCount":284},7,{"parentExtensionId":247,"repoId":271},[201,281,203,200,202],{"evaluatedAt":288,"extractAt":275,"updatedAt":289},1778694205322,1778694461243,{"evaluate":291,"extract":293},{"promptVersionExtension":193,"promptVersionScoring":194,"score":197,"tags":292,"targetMarket":262,"tier":205},[200,201,202,203,204],{"commitSha":265,"license":224},{"parentExtensionId":236,"repoId":271,"translatedFrom":295},"k172vj2m4hv3ddqwbpnhw0r3m586me7n",{"_creationTime":297,"_id":271,"identity":298,"providers":299,"workflow":497},1778694144418.9976,{"githubOwner":200,"githubRepo":231,"sourceUrl":14},{"classify":300,"discover":486,"github":489},{"commitSha":265,"extensions":301},[302,312,323,350,369,379,387,395,411,455,471],{"basePath":303,"displayName":304,"installMethods":305,"rationale":306,"selectedPaths":307,"source":311,"sourceLanguage":243,"type":254},".agents/plugins","mongodb-agent-skills",{"claudeCode":12},"marketplace.json at .agents/plugins/marketplace.json",[308],{"path":309,"priority":310},"marketplace.json","mandatory","rule",{"basePath":242,"displayName":252,"installMethods":313,"rationale":314,"selectedPaths":315,"source":311,"sourceLanguage":243,"type":254},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[316,318,320],{"path":317,"priority":310},".claude-plugin/marketplace.json",{"path":319,"priority":310},"README.md",{"path":321,"priority":322},"LICENSE","high",{"basePath":242,"description":239,"displayName":200,"installMethods":324,"license":224,"rationale":325,"selectedPaths":326,"source":311,"sourceLanguage":243,"type":244},{"claudeCode":200},"plugin manifest at .claude-plugin/plugin.json",[327,329,330,331,334,336,338,340,342,344,346,348],{"path":328,"priority":310},".claude-plugin/plugin.json",{"path":319,"priority":310},{"path":321,"priority":322},{"path":332,"priority":333},"skills/atlas-stream-processing/SKILL.md","medium",{"path":335,"priority":333},"skills/mongodb-connection/SKILL.md",{"path":337,"priority":333},"skills/mongodb-mcp-setup/SKILL.md",{"path":339,"priority":333},"skills/mongodb-natural-language-querying/SKILL.md",{"path":341,"priority":333},"skills/mongodb-query-optimizer/SKILL.md",{"path":343,"priority":333},"skills/mongodb-schema-design/SKILL.md",{"path":345,"priority":333},"skills/mongodb-search-and-ai/SKILL.md",{"path":347,"priority":322},".codex-plugin/plugin.json",{"path":349,"priority":322},".cursor-plugin/plugin.json",{"basePath":230,"description":351,"displayName":232,"installMethods":352,"rationale":353,"selectedPaths":354,"source":311,"sourceLanguage":243,"type":233},"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":12},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[355,357,359,361,363,365,367],{"path":356,"priority":310},"SKILL.md",{"path":358,"priority":333},"references/connection-configs.md",{"path":360,"priority":333},"references/development-workflow.md",{"path":362,"priority":333},"references/mcp-troubleshooting.md",{"path":364,"priority":333},"references/output-diagnostics.md",{"path":366,"priority":333},"references/pipeline-patterns.md",{"path":368,"priority":333},"references/sizing-and-parallelism.md",{"basePath":370,"description":371,"displayName":372,"installMethods":373,"rationale":374,"selectedPaths":375,"source":311,"sourceLanguage":243,"type":233},"skills/mongodb-connection","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.","mongodb-connection",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-connection/SKILL.md",[376,377],{"path":356,"priority":310},{"path":378,"priority":333},"references/monitoring-guide.md",{"basePath":380,"description":381,"displayName":382,"installMethods":383,"rationale":384,"selectedPaths":385,"source":311,"sourceLanguage":243,"type":233},"skills/mongodb-mcp-setup","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.","mongodb-mcp-setup",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-mcp-setup/SKILL.md",[386],{"path":356,"priority":310},{"basePath":388,"description":389,"displayName":390,"installMethods":391,"rationale":392,"selectedPaths":393,"source":311,"sourceLanguage":243,"type":233},"skills/mongodb-natural-language-querying","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.","mongodb-natural-language-querying",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-natural-language-querying/SKILL.md",[394],{"path":356,"priority":310},{"basePath":396,"description":397,"displayName":398,"installMethods":399,"rationale":400,"selectedPaths":401,"source":311,"sourceLanguage":243,"type":233},"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",[402,403,405,407,409],{"path":356,"priority":310},{"path":404,"priority":333},"references/aggregation-optimization.md",{"path":406,"priority":333},"references/antipattern-examples.md",{"path":408,"priority":333},"references/core-indexing-principles.md",{"path":410,"priority":333},"references/update-query-examples.md",{"basePath":412,"description":413,"displayName":414,"installMethods":415,"rationale":416,"selectedPaths":417,"source":311,"sourceLanguage":243,"type":233},"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",[418,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453],{"path":356,"priority":310},{"path":420,"priority":333},"references/antipattern-excessive-lookups.md",{"path":422,"priority":333},"references/antipattern-unnecessary-collections.md",{"path":424,"priority":333},"references/antipattern-unnecessary-indexes.md",{"path":426,"priority":333},"references/fundamental-document-model.md",{"path":428,"priority":333},"references/fundamental-document-size.md",{"path":430,"priority":333},"references/fundamental-embed-vs-reference.md",{"path":432,"priority":333},"references/fundamental-schema-validation.md",{"path":434,"priority":333},"references/pattern-approximation.md",{"path":436,"priority":333},"references/pattern-archive.md",{"path":438,"priority":333},"references/pattern-attribute.md",{"path":440,"priority":333},"references/pattern-bucket.md",{"path":442,"priority":333},"references/pattern-computed.md",{"path":444,"priority":333},"references/pattern-document-versioning.md",{"path":446,"priority":333},"references/pattern-extended-reference.md",{"path":448,"priority":333},"references/pattern-outlier.md",{"path":450,"priority":333},"references/pattern-polymorphic.md",{"path":452,"priority":333},"references/pattern-schema-versioning.md",{"path":454,"priority":333},"references/pattern-time-series-collections.md",{"basePath":456,"description":457,"displayName":458,"installMethods":459,"rationale":460,"selectedPaths":461,"source":311,"sourceLanguage":243,"type":233},"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",[462,463,465,467,469],{"path":356,"priority":310},{"path":464,"priority":333},"references/hybrid-search.md",{"path":466,"priority":333},"references/lexical-search-indexing.md",{"path":468,"priority":333},"references/lexical-search-querying.md",{"path":470,"priority":333},"references/vector-search.md",{"basePath":472,"description":473,"displayName":474,"installMethods":475,"rationale":476,"selectedPaths":477,"source":311,"sourceLanguage":243,"type":233},"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",[478,479,482,484],{"path":356,"priority":310},{"path":480,"priority":481},"assets/report.md","low",{"path":483,"priority":333},"references/install-skill-validator.md",{"path":485,"priority":333},"references/llm-scoring.md",{"sources":487},[488],"manual",{"closedIssues90d":8,"description":250,"forks":219,"license":224,"openIssues90d":8,"pushedAt":221,"readmeSize":217,"stars":222,"topics":490},[491,492,493,494,495,496],"agent","claude","cursor","gemini-cli-extension","mcp","skills",{"classifiedAt":498,"discoverAt":499,"extractAt":500,"githubAt":500,"updatedAt":498},1778694148853,1778694144419,1778694146756,[201,203,200,202,204],{"evaluatedAt":503,"extractAt":275,"updatedAt":228},1778694226310,[],[506,528,550,572,602,631],{"_creationTime":507,"_id":508,"community":509,"display":510,"identity":513,"providers":514,"relations":522,"tags":524,"workflow":525},1778694413837.2078,"k1724c581pj4qca8wdevmzkr0586n034",{"reviewCount":8},{"description":511,"installMethods":512,"name":458,"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":456,"githubOwner":200,"githubRepo":231,"locale":18,"slug":458,"type":233},{"evaluate":515,"extract":521},{"promptVersionExtension":193,"promptVersionScoring":194,"score":279,"tags":516,"targetMarket":262,"tier":205},[200,517,518,519,260,520],"atlas-search","vector-search","hybrid-search","search",{"commitSha":265},{"parentExtensionId":236,"repoId":271,"translatedFrom":523},"k17b18bc1pkwm6r3xttpqzefj586ms2r",[517,260,519,200,520,518],{"evaluatedAt":526,"extractAt":275,"updatedAt":527},1778694322274,1778694413837,{"_creationTime":529,"_id":530,"community":531,"display":532,"identity":535,"providers":536,"relations":544,"tags":546,"workflow":547},1778694392532.535,"k17eqx1548qq4twnvaeg3h866d86nqem",{"reviewCount":8},{"description":533,"installMethods":534,"name":382,"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":380,"githubOwner":200,"githubRepo":231,"locale":18,"slug":382,"type":233},{"evaluate":537,"extract":543},{"promptVersionExtension":193,"promptVersionScoring":194,"score":279,"tags":538,"targetMarket":262,"tier":205},[200,495,539,540,541,542],"configuration","setup","authentication","cli",{"commitSha":265},{"parentExtensionId":236,"repoId":271,"translatedFrom":545},"k1798fc1hmtx3bmdgwyn3fet2d86mzt5",[541,542,539,495,200,540],{"evaluatedAt":548,"extractAt":275,"updatedAt":549},1778694262565,1778694392532,{"_creationTime":551,"_id":552,"community":553,"display":554,"identity":558,"providers":559,"relations":566,"tags":568,"workflow":569},1778694375752.5935,"k176q0fcrs34d0qgcw5zcfr7e186mppv",{"reviewCount":8},{"description":555,"installMethods":556,"name":557,"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":370,"githubOwner":200,"githubRepo":231,"locale":18,"slug":372,"type":233},{"evaluate":560,"extract":565},{"promptVersionExtension":193,"promptVersionScoring":194,"score":279,"tags":561,"targetMarket":262,"tier":205},[200,260,562,563,564,539],"connection","performance","optimization",{"commitSha":265,"license":224},{"parentExtensionId":236,"repoId":271,"translatedFrom":567},"k175wmq2n17n23xzphj2zzt3qs86n3xd",[539,562,260,200,564,563],{"evaluatedAt":570,"extractAt":275,"updatedAt":571},1778694243014,1778694375752,{"_creationTime":573,"_id":574,"community":575,"display":576,"identity":582,"providers":586,"relations":594,"tags":597,"workflow":598},1778692997480.065,"k174jb7x7h52qzjr42hvgsxpj986mgws",{"reviewCount":8},{"description":577,"installMethods":578,"name":580,"sourceUrl":581},"使用严格的交付工作流执行编码任务：构建完整计划、分步实现、持续运行测试，并默认在每一步 (`per_step`) 后提交。当用户要求行为驱动交付或需求不明确时，支持显式提交策略覆盖 (`final_only`, `milestone`) 和可选的 BDD（给定/当/则）。",{"claudeCode":579},"majiayu000/vibeguard","fixflow","https://github.com/majiayu000/vibeguard",{"basePath":583,"githubOwner":584,"githubRepo":585,"locale":18,"slug":580,"type":233},"workflows/fixflow","majiayu000","vibeguard",{"evaluate":587,"extract":593},{"promptVersionExtension":193,"promptVersionScoring":194,"score":279,"tags":588,"targetMarket":262,"tier":205},[589,590,261,591,204,592],"code-quality","ai-safety","code-generation","security",{"commitSha":265},{"repoId":595,"translatedFrom":596},"kd7b0vh258xpbyerk68bk3e1ks86mk58","k17bwx69hk0p0w7rnpzvv2p16h86mp2k",[590,591,589,261,592,204],{"evaluatedAt":599,"extractAt":600,"updatedAt":601},1778692812461,1778692607327,1778692997480,{"_creationTime":603,"_id":604,"community":605,"display":606,"identity":612,"providers":616,"relations":625,"tags":627,"workflow":628},1778691799740.4683,"k1794z8maqm6hayneb6tsjvxhs86na8f",{"reviewCount":8},{"description":607,"installMethods":608,"name":610,"sourceUrl":611},"Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.",{"claudeCode":609},"K-Dense-AI/claude-scientific-skills","autoskill","https://github.com/K-Dense-AI/claude-scientific-skills",{"basePath":613,"githubOwner":614,"githubRepo":615,"locale":243,"slug":610,"type":233},"scientific-skills/autoskill","K-Dense-AI","claude-scientific-skills",{"evaluate":617,"extract":623},{"promptVersionExtension":193,"promptVersionScoring":194,"score":279,"tags":618,"targetMarket":262,"tier":205},[204,619,620,621,622],"skill-discovery","research-assistant","llm-integration","screenpipe",{"commitSha":265,"license":624},"MIT",{"repoId":626},"kd79rphh5gexy91xmpxc05h5mh86mm9r",[621,620,622,619,204],{"evaluatedAt":629,"extractAt":630,"updatedAt":629},1778691975656,1778691799740,{"_creationTime":632,"_id":633,"community":634,"display":635,"identity":641,"providers":645,"relations":654,"tags":656,"workflow":657},1778695660274.5046,"k173apcy2h7pqz5877y2hwdw6186my7n",{"reviewCount":8},{"description":636,"installMethods":637,"name":639,"sourceUrl":640},"Change the sync configuration of an existing data warehouse schema — switch sync_type, pick a different incremental_field, set primary_key_columns, choose cdc_table_mode, or change sync_frequency. Use when the user asks \"switch my orders table from full refresh to incremental\", \"this table is syncing too slowly / too frequently\", \"I need to pick a different incremental column\", \"set up CDC for this Postgres table\", or when diagnosis of a failing sync pointed to an incremental-field or PK misconfiguration.\n",{"claudeCode":638},"PostHog/posthog","tuning-incremental-sync-config","https://github.com/PostHog/posthog",{"basePath":642,"githubOwner":643,"githubRepo":644,"locale":243,"slug":639,"type":233},"products/data_warehouse/skills/tuning-incremental-sync-config","PostHog","posthog",{"evaluate":646,"extract":653},{"promptVersionExtension":193,"promptVersionScoring":194,"score":647,"tags":648,"targetMarket":262,"tier":205},99,[649,650,651,652,203],"data-warehouse","sync-configuration","schema-management","etl",{"commitSha":265},{"repoId":655},"kd7f22zf7qb3eschtk9s2qdv4586mfts",[203,649,652,651,650],{"evaluatedAt":658,"extractAt":659,"updatedAt":658},1778697006897,1778695660274]