[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-mongodb-mongodb-search-and-ai-en":3,"guides-for-mongodb-mongodb-search-and-ai":512,"similar-k17b18bc1pkwm6r3xttpqzefj586ms2r-en":513},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":241,"isFallback":226,"parentExtension":245,"providers":300,"relations":304,"repo":305,"tags":509,"workflow":510},1778694149049.348,"k17b18bc1pkwm6r3xttpqzefj586ms2r",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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":12},"mongodb/agent-skills","mongodb-search-and-ai","https://github.com/mongodb/agent-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":224,"workflow":239},1778694322274.1106,"kn746vrnrfnjfmg5pkcxq2vx0186n23e","en",{"checks":20,"evaluatedAt":192,"extensionSummary":193,"features":194,"nonGoals":200,"promptVersionExtension":204,"promptVersionScoring":205,"purpose":206,"rationale":207,"score":208,"summary":209,"tags":210,"targetMarket":217,"tier":218,"useCases":219},[21,26,29,32,36,39,43,47,50,53,57,61,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,120,123,126,129,132,135,138,142,146,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly names the problem of guiding MongoDB users through implementing and optimizing Atlas Search solutions, covering text, vector, and hybrid search.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill provides structured workflows and guidance on selecting search types, creating indexes, and optimizing queries, which goes beyond basic API interaction and offers significant value over a simple prompt.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill covers the complete lifecycle from discovery and index creation to querying and optimization, with clear workflows and checks for version compatibility, indicating it's ready for production use.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses on MongoDB Atlas Search implementation and optimization, covering lexical, vector, and hybrid search in a coherent and well-defined scope.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's capabilities, is well-structured, and clearly outlines the types of search functionality it guides users through.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The skill utilizes scoped tools like `list-databases`, `collection-schema`, `collection-indexes`, `atlas-inspect-cluster`, `create-index`, and `aggregate`, rather than a single generalist command.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","All relevant parameters for index creation, querying, and version checks are documented within the SKILL.md and reference files.",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","Tools used (e.g., `create-index`, `aggregate`) are descriptive and follow the verb-noun convention.",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","The skill's inputs and outputs are well-defined by the MCP tools it invokes and the structured data it requests/returns, avoiding unnecessary data bloat.",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","The extension is licensed under Apache-2.0, a permissive open-source license, as detected from the bundled LICENSE file.",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","The latest commit was on 2026-05-11, which is within the last 90 days.",{"category":58,"check":62,"severity":63,"summary":64},"Dependency Management","not_applicable","No third-party dependencies were detected that require specific management.",{"category":66,"check":67,"severity":63,"summary":68},"Security","Secret Management","The skill does not handle secrets as it relies on the MCP server for authentication, which is configured externally.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill does not load external data or fetch from remote URLs, and it treats user input as data rather than instructions.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill operates solely on its bundled content and does not fetch external code or data at runtime.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The skill interacts with the environment via defined MCP tools and does not attempt to modify files outside its designated scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","No detached-process spawns or retry loops around denied tool calls were found in the skill's logic.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill does not include instructions to read or submit confidential data to a third party.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, and all descriptions use clean printable ASCII.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's logic is contained within readable SKILL.md prose and does not involve obfuscated or minified code.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill's workflow assumes standard MongoDB Atlas interactions and does not rely on specific user project file layouts.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","There are 0 open and 0 closed issues in the last 90 days, indicating a low volume of recent activity or issues.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The repository includes a CHANGELOG.md and uses semantic versioning in its installation instructions (e.g., `mongodb-mcp-server@1`), indicating good release management.",{"category":104,"check":105,"severity":24,"summary":106},"Code Execution","Validation","The skill relies on the MCP server's tool schemas for input validation, and the reference files provide structured query patterns.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The skill requires explicit user approval before creating indexes and does not perform any destructive operations without user confirmation.",{"category":104,"check":111,"severity":24,"summary":112},"Error Handling","The skill's workflow includes checks for version compatibility and prompts for user approval, indicating a fail-closed behavior on unexpected states.",{"category":104,"check":114,"severity":63,"summary":115},"Logging","The skill itself does not perform destructive actions or outbound calls that require local audit logging; these are handled by the MCP server.",{"category":117,"check":118,"severity":63,"summary":119},"Compliance","GDPR","The skill operates on MongoDB schema and data structures, not personal data directly, and does not submit data to third parties.",{"category":117,"check":121,"severity":24,"summary":122},"Target market","The skill is broadly applicable to MongoDB Atlas users globally, with no regional restrictions detected.",{"category":92,"check":124,"severity":24,"summary":125},"Runtime stability","The skill relies on standard MongoDB MCP server tools and common shell commands, ensuring cross-platform compatibility.",{"category":44,"check":127,"severity":24,"summary":128},"README","The README provides clear installation instructions for various environments and links to relevant documentation.",{"category":33,"check":130,"severity":24,"summary":131},"Tool surface size","The skill utilizes a small, focused set of MCP tools relevant to its defined scope.",{"category":40,"check":133,"severity":24,"summary":134},"Overlapping near-synonym tools","The skill uses distinct MCP tools for specific actions, avoiding redundancy or overlapping functionality.",{"category":44,"check":136,"severity":24,"summary":137},"Phantom features","All advertised features, such as implementing and optimizing Atlas Search, Vector Search, and Hybrid Search, are supported by the provided workflows and reference files.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","The README provides comprehensive installation instructions for multiple platforms and includes setup guidance for the MCP server.",{"category":143,"check":144,"severity":24,"summary":145},"Errors","Actionable error messages","The skill's workflow and reference files describe error conditions like version mismatches and missing indexes, with guidance on remediation.",{"category":147,"check":148,"severity":63,"summary":149},"Execution","Pinned dependencies","The skill does not have bundled scripts with external dependencies requiring pinning or interpreter declarations.",{"category":33,"check":151,"severity":24,"summary":152},"Dry-run preview","The skill requires explicit user approval before executing index creation commands, acting as a form of dry-run preview.",{"category":154,"check":155,"severity":63,"summary":156},"Protocol","Idempotent retry & timeouts","The skill relies on the MCP server and MongoDB operations for retries and timeouts; it does not implement its own.",{"category":117,"check":158,"severity":63,"summary":159},"Telemetry opt-in","The skill does not emit telemetry; this functionality would be handled by the underlying agent or MCP server if implemented.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The purpose is precisely defined, stating it guides MongoDB users through implementing and optimizing Atlas Search, Vector Search, and Hybrid Search solutions.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The SKILL.md frontmatter is concise and effectively summarizes the skill's core capability and use cases.",{"category":44,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md body is well-structured with clear sections and delegates detailed procedures to reference files, staying within reasonable length.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","Detailed procedures for specific search types (lexical, vector, hybrid) are appropriately split into separate reference files and linked from the main SKILL.md.",{"category":170,"check":174,"severity":63,"summary":175},"Forked exploration","The skill's workflow is directive and does not involve extensive exploration or deep code review that would benefit from `context: fork`.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The reference files provide clear, end-to-end examples for various search patterns, including index definitions and aggregation pipelines.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The skill documents failure modes and limitations, such as version checks for hybrid search and handling of missing fields or indexes, with recovery steps.",{"category":104,"check":183,"severity":63,"summary":184},"Tool Fallback","The skill is designed to work with the MongoDB MCP server, which is a required component, and does not have a fallback path.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The skill explicitly instructs to halt and inform the user if version requirements are not met for hybrid search, and requires approval before proceeding with index creation.",{"category":92,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill is self-contained and does not rely on other specific skills being loaded; it clearly defines its scope related to MongoDB Atlas Search.",1778694322161,"This skill guides users through implementing, optimizing, and troubleshooting Atlas Search (lexical), Vector Search (semantic), and Hybrid Search in MongoDB. It covers selecting the right search approach, creating indexes, constructing queries, and optimizing performance, with detailed reference files for each search type.",[195,196,197,198,199],"Guides implementation of Atlas Search, Vector Search, and Hybrid Search","Recommends appropriate search type based on use case","Provides workflows for index creation and query construction","Includes detailed reference files for lexical, vector, and hybrid search","Offers guidance on version checks and query optimization",[201,202,203],"Implementing general database administration tasks","Replacing the MongoDB Atlas UI for index management (provides JSON for manual creation)","Performing arbitrary database queries outside of search and indexing","3.0.0","4.4.0","To empower MongoDB users to build powerful search functionalities, from basic text matching to advanced semantic similarity and hybrid approaches, by providing clear guidance and workflows.","All checks passed with high severity. The skill is well-documented, production-ready, and follows best practices for scope, security, and usability.",100,"Excellent skill for implementing and optimizing MongoDB Atlas Search solutions.",[211,212,213,214,215,216],"mongodb","atlas-search","vector-search","hybrid-search","database","search","global","verified",[220,221,222,223],"When users need to build text-based search functionality (autocomplete, fuzzy matching)","When users need semantic similarity search using embeddings or RAG","When users need to combine lexical and vector search for hybrid approaches","When users need to understand and implement Atlas Search indexes and queries",{"codeQuality":225,"collectedAt":227,"documentation":228,"maintenance":231,"security":235,"testCoverage":237},{"hasLockfile":226},false,1778694306542,{"descriptionLength":229,"readmeSize":230},706,2753,{"closedIssues90d":8,"forks":232,"hasChangelog":226,"openIssues90d":8,"pushedAt":233,"stars":234},20,1778514087000,111,{"hasNpmPackage":226,"license":236,"smitheryVerified":226},"Apache-2.0",{"hasCi":238,"hasTests":226},true,{"updatedAt":240},1778694322274,{"basePath":242,"githubOwner":211,"githubRepo":243,"locale":18,"slug":13,"type":244},"skills/mongodb-search-and-ai","agent-skills","skill",{"_creationTime":246,"_id":247,"community":248,"display":249,"identity":252,"parentExtension":255,"providers":285,"relations":295,"tags":296,"workflow":297},1778694149049.3462,"k170hje3xzpy2mbkn00agzm38x86mkbz",{"reviewCount":8},{"description":250,"installMethods":251,"name":211,"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":211},{"basePath":253,"githubOwner":211,"githubRepo":243,"locale":18,"slug":243,"type":254},"","plugin",{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":263,"providers":265,"relations":278,"tags":280,"workflow":281},1778694149049.346,"k17bjnvrfwx0ae2fnz7yj78p6h86mewp",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"sourceUrl":14},"Use the official MongoDB Skills with your favorite coding agent to build faster.",{"claudeCode":12},"mongodb-plugins",{"basePath":253,"githubOwner":211,"githubRepo":243,"locale":18,"slug":243,"type":264},"marketplace",{"evaluate":266,"extract":272},{"promptVersionExtension":267,"promptVersionScoring":205,"score":268,"tags":269,"targetMarket":217,"tier":271},"3.1.0",75,[211,215,243,270],"developer-tools","community",{"commitSha":273,"marketplace":274,"plugin":276},"HEAD",{"name":262,"pluginCount":275},1,{"mcpCount":8,"provider":277,"skillCount":8},"classify",{"repoId":279},"kd74vahs1zbjqzqbert490xyrd86nfv5",[243,215,270,211],{"evaluatedAt":282,"extractAt":283,"updatedAt":284},1778694174645,1778694149049,1778694461056,{"evaluate":286,"extract":292},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":287,"targetMarket":217,"tier":218},[211,288,289,290,291],"atlas","streaming","data-pipelines","cloud-management",{"commitSha":273,"license":236,"plugin":293},{"mcpCount":8,"provider":277,"skillCount":294},7,{"parentExtensionId":257,"repoId":279},[288,291,290,211,289],{"evaluatedAt":298,"extractAt":283,"updatedAt":299},1778694205322,1778694461243,{"evaluate":301,"extract":303},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":302,"targetMarket":217,"tier":218},[211,212,213,214,215,216],{"commitSha":273},{"parentExtensionId":247,"repoId":279},{"_creationTime":306,"_id":279,"identity":307,"providers":308,"workflow":505},1778694144418.9976,{"githubOwner":211,"githubRepo":243,"sourceUrl":14},{"classify":309,"discover":494,"github":497},{"commitSha":273,"extensions":310},[311,321,332,359,380,390,398,406,422,466,479],{"basePath":312,"displayName":313,"installMethods":314,"rationale":315,"selectedPaths":316,"source":320,"sourceLanguage":18,"type":264},".agents/plugins","mongodb-agent-skills",{"claudeCode":12},"marketplace.json at .agents/plugins/marketplace.json",[317],{"path":318,"priority":319},"marketplace.json","mandatory","rule",{"basePath":253,"displayName":262,"installMethods":322,"rationale":323,"selectedPaths":324,"source":320,"sourceLanguage":18,"type":264},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[325,327,329],{"path":326,"priority":319},".claude-plugin/marketplace.json",{"path":328,"priority":319},"README.md",{"path":330,"priority":331},"LICENSE","high",{"basePath":253,"description":250,"displayName":211,"installMethods":333,"license":236,"rationale":334,"selectedPaths":335,"source":320,"sourceLanguage":18,"type":254},{"claudeCode":211},"plugin manifest at .claude-plugin/plugin.json",[336,338,339,340,343,345,347,349,351,353,355,357],{"path":337,"priority":319},".claude-plugin/plugin.json",{"path":328,"priority":319},{"path":330,"priority":331},{"path":341,"priority":342},"skills/atlas-stream-processing/SKILL.md","medium",{"path":344,"priority":342},"skills/mongodb-connection/SKILL.md",{"path":346,"priority":342},"skills/mongodb-mcp-setup/SKILL.md",{"path":348,"priority":342},"skills/mongodb-natural-language-querying/SKILL.md",{"path":350,"priority":342},"skills/mongodb-query-optimizer/SKILL.md",{"path":352,"priority":342},"skills/mongodb-schema-design/SKILL.md",{"path":354,"priority":342},"skills/mongodb-search-and-ai/SKILL.md",{"path":356,"priority":331},".codex-plugin/plugin.json",{"path":358,"priority":331},".cursor-plugin/plugin.json",{"basePath":360,"description":361,"displayName":362,"installMethods":363,"rationale":364,"selectedPaths":365,"source":320,"sourceLanguage":18,"type":244},"skills/atlas-stream-processing","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.","atlas-stream-processing",{"claudeCode":12},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[366,368,370,372,374,376,378],{"path":367,"priority":319},"SKILL.md",{"path":369,"priority":342},"references/connection-configs.md",{"path":371,"priority":342},"references/development-workflow.md",{"path":373,"priority":342},"references/mcp-troubleshooting.md",{"path":375,"priority":342},"references/output-diagnostics.md",{"path":377,"priority":342},"references/pipeline-patterns.md",{"path":379,"priority":342},"references/sizing-and-parallelism.md",{"basePath":381,"description":382,"displayName":383,"installMethods":384,"rationale":385,"selectedPaths":386,"source":320,"sourceLanguage":18,"type":244},"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",[387,388],{"path":367,"priority":319},{"path":389,"priority":342},"references/monitoring-guide.md",{"basePath":391,"description":392,"displayName":393,"installMethods":394,"rationale":395,"selectedPaths":396,"source":320,"sourceLanguage":18,"type":244},"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",[397],{"path":367,"priority":319},{"basePath":399,"description":400,"displayName":401,"installMethods":402,"rationale":403,"selectedPaths":404,"source":320,"sourceLanguage":18,"type":244},"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",[405],{"path":367,"priority":319},{"basePath":407,"description":408,"displayName":409,"installMethods":410,"rationale":411,"selectedPaths":412,"source":320,"sourceLanguage":18,"type":244},"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",[413,414,416,418,420],{"path":367,"priority":319},{"path":415,"priority":342},"references/aggregation-optimization.md",{"path":417,"priority":342},"references/antipattern-examples.md",{"path":419,"priority":342},"references/core-indexing-principles.md",{"path":421,"priority":342},"references/update-query-examples.md",{"basePath":423,"description":424,"displayName":425,"installMethods":426,"rationale":427,"selectedPaths":428,"source":320,"sourceLanguage":18,"type":244},"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. 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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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