[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-mongodb-atlas-stream-processing-en":3,"guides-for-mongodb-atlas-stream-processing":501,"similar-k172vj2m4hv3ddqwbpnhw0r3m586me7n-en":502},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":230,"isFallback":214,"parentExtension":235,"providers":289,"relations":293,"repo":294,"tags":498,"workflow":499},1778694149049.3464,"k172vj2m4hv3ddqwbpnhw0r3m586me7n",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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},"mongodb/agent-skills","MongoDB Atlas Stream Processing","https://github.com/mongodb/agent-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":212,"workflow":228},1778694226310.485,"kn74dpccms9dsxgt98vex7tqns86mhh0","en",{"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,"targetMarket":205,"tier":206,"useCases":207},[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","The description clearly identifies the problem of managing MongoDB Atlas Stream Processing (ASP) workflows and specifies its scope, differentiating it from general MongoDB operations.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers significant value beyond a simple API wrapper by handling complex lifecycle operations, diagnostics, and integrations for ASP workflows, which would be difficult to achieve with basic prompting.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill covers the complete lifecycle for ASP workflows, including provisioning, management, debugging, and tier sizing, and provides detailed references for advanced configurations and troubleshooting, indicating readiness for production use.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill is focused on managing MongoDB Atlas Stream Processing (ASP) workflows and its tools are cohesive, covering the full lifecycle of ASP resources without extending into unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The description is concise, accurate, and effectively communicates the skill's purpose, capabilities, supported integrations, and prerequisites.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Precise Purpose","The description clearly states the artifact (ASP workflows) and the user intent (manage, provision, debug), along with explicit non-goals, providing precise routing information.",{"category":40,"check":44,"severity":24,"summary":45},"Concise Frontmatter","The frontmatter in SKILL.md is dense and effectively summarizes the core capability and triggers within the first 160 characters.",{"category":47,"check":48,"severity":24,"summary":49},"Documentation","Concise Body","The SKILL.md file is well-structured, delegates bulk material to reference files, and stays within a reasonable length, adhering to progressive disclosure.",{"category":51,"check":52,"severity":24,"summary":53},"Context","Progressive Disclosure","Detailed information on pipeline patterns, connection configurations, and troubleshooting is organized into separate reference files and linked from the main SKILL.md, facilitating progressive disclosure.",{"category":51,"check":55,"severity":56,"summary":57},"Forked exploration","not_applicable","The skill is not primarily focused on deep exploration or code review, making `context: fork` not applicable.",{"category":22,"check":59,"severity":24,"summary":60},"Usage examples","The SKILL.md provides sufficient, end-to-end examples for core workflows, pipeline patterns, and connection types, demonstrating concrete inputs and expected outcomes.",{"category":22,"check":62,"severity":24,"summary":63},"Edge cases","The skill instruction and reference files document numerous failure modes, limitations, and recovery steps for various scenarios like connection errors, pipeline issues, and performance tuning.",{"category":65,"check":66,"severity":24,"summary":67},"Code Execution","Halt on unexpected state","The development workflow documentation mandates pre-deployment connection validation and emphasizes stopping processors before modification, ensuring a controlled state for operations.",{"category":69,"check":66,"severity":24,"summary":70},"Safety","The skill documentation mandates connection validation and stopping processors before modification or deletion, ensuring critical operations are guarded against unexpected states.",{"category":72,"check":73,"severity":24,"summary":74},"Portability","Cross-skill coupling","The skill is self-contained, managing ASP workflows via its own MCP tools. It does not implicitly rely on other skills and cross-references to related documentation are explicit.",{"category":76,"check":77,"severity":24,"summary":78},"Security","Secret Management","The skill relies on the MCP Server's elicitation protocol for sensitive fields like API credentials, preventing them from being exposed in pipelines or logs.",{"category":76,"check":80,"severity":24,"summary":81},"Injection","The skill operates on structured configurations and commands, and does not appear to load or execute arbitrary external data that could be used for injection.",{"category":76,"check":83,"severity":24,"summary":84},"Transitive Supply-Chain Grenades","The skill primarily uses committed configuration and MCP tools; there are no indications of runtime fetching of code or instructions from external URLs.",{"category":76,"check":86,"severity":24,"summary":87},"Sandbox Isolation","The skill interacts with the MCP Server and Atlas API, which operate in isolated environments. File operations, if any, are presumed to be within the MCP Server's managed scope.",{"category":76,"check":89,"severity":24,"summary":90},"Sandbox escape primitives","The skill's instructions focus on API calls and configuration, with no evidence of detached processes or retry loops around denied operations.",{"category":76,"check":92,"severity":24,"summary":93},"Data Exfiltration","The skill relies on the MCP Server for secure handling of API credentials and does not instruct the agent to exfiltrate confidential data.",{"category":76,"check":95,"severity":24,"summary":96},"Hidden Text Tricks","The bundled content and documentation appear free of hidden text tricks, control characters, or obfuscation techniques.",{"category":98,"check":99,"severity":24,"summary":100},"Hooks","Opaque code execution","The skill's logic is implemented through MCP tools and documented configurations, with no evidence of obfuscated or base64-encoded code execution.",{"category":72,"check":102,"severity":24,"summary":103},"Structural Assumption","The skill operates on Atlas resources and configurations managed by the MCP Server, not on specific user project file layouts, thus avoiding structural assumptions.",{"category":105,"check":106,"severity":24,"summary":107},"Trust","Issues Attention","There are 0 open and 0 closed issues in the last 90 days, indicating high engagement or very recent project creation/stable state.",{"category":109,"check":110,"severity":24,"summary":111},"Versioning","Release Management","The skill manifest declares a version (1.0.0), ensuring clear version detectability.",{"category":113,"check":114,"severity":56,"summary":115},"Execution","Pinned dependencies","The skill operates via the MCP Server and its tools, rather than directly managing external script dependencies or interpreters.",{"category":33,"check":117,"severity":24,"summary":118},"Dry-run preview","While direct dry-run flags are not explicitly mentioned for all operations, the workflow emphasizes user confirmation and detailed output inspection before destructive actions, serving a similar purpose.",{"category":120,"check":121,"severity":56,"summary":122},"Protocol","Idempotent retry & timeouts","The skill's operations are handled by the MCP Server and Atlas API, which are expected to manage idempotency and timeouts, rather than being directly implemented within the skill's logic.",{"category":124,"check":125,"severity":56,"summary":126},"Compliance","GDPR","The skill manages infrastructure configurations and API credentials, not end-user personal data, making GDPR compliance not directly applicable.",{"category":124,"check":128,"severity":24,"summary":129},"Target market","The skill operates on MongoDB Atlas resources, which are globally available, and documentation does not indicate any regional restrictions.",{"category":72,"check":131,"severity":24,"summary":132},"Runtime stability","The skill relies on the MCP Server and standard Atlas APIs, abstracting away OS or shell dependencies, ensuring broad runtime stability.",{"category":47,"check":134,"severity":24,"summary":135},"README","The README provides clear installation instructions for various platforms and a link to the official MongoDB Agent Skills documentation.",{"category":33,"check":137,"severity":24,"summary":138},"Tool surface size","The skill exposes four main MCP tools (`discover`, `build`, `manage`, `teardown`) which is within the ideal range.",{"category":40,"check":140,"severity":24,"summary":141},"Overlapping near-synonym tools","The tools are distinct in their function (discover, build, manage, teardown) and do not have overlapping near-synonym names.",{"category":47,"check":143,"severity":24,"summary":144},"Phantom features","All advertised capabilities, such as workspace provisioning, connection management, and processor lifecycle operations, are supported by the documented MCP tools.",{"category":146,"check":147,"severity":24,"summary":148},"Install","Installation instruction","The README provides comprehensive, copy-pasteable installation instructions for multiple platforms (Claude, Cursor, Codex, Gemini, Copilot CLI, Vercel, local) and mentions MCP server setup.",{"category":150,"check":151,"severity":24,"summary":152},"Errors","Actionable error messages","The skill documentation and reference files extensively cover error handling, including specific error messages, root causes, and recovery steps for various failure scenarios.",{"category":65,"check":154,"severity":24,"summary":155},"Validation","The skill relies on the MCP Server and Atlas API for validation of configurations and parameters, ensuring data integrity and security.",{"category":76,"check":157,"severity":24,"summary":158},"Unguarded Destructive Operations","Destructive operations like workspace deletion are guarded by explicit user confirmation steps and safety checks, as documented in the safety rules.",{"category":65,"check":160,"severity":24,"summary":161},"Error Handling","The skill relies on the MCP Server and Atlas API for error handling, with detailed documentation on diagnosing and recovering from various error states.",{"category":65,"check":163,"severity":24,"summary":164},"Logging","The skill documentation indicates that operations are logged and can be reviewed, particularly through diagnostics and Atlas UI logs for troubleshooting.",{"category":166,"check":167,"severity":24,"summary":168},"License","License usability","The extension is licensed under the Apache-2.0 license, which is a permissive open-source license.",{"category":170,"check":171,"severity":24,"summary":172},"Maintenance","Commit recency","The last commit was on May 11, 2026, which is within the last 3 months.",{"category":170,"check":174,"severity":56,"summary":175},"Dependency Management","The skill operates via the MCP server and Atlas API, and does not appear to manage third-party dependencies directly.",1778694226203,"This skill manages MongoDB Atlas Stream Processing (ASP) workflows, including workspace provisioning, data source/sink connections, processor lifecycle operations, debugging, and tier sizing. It supports various integrations like Kafka, Atlas clusters, S3, HTTPS, and Lambda, requiring the MongoDB MCP Server with Atlas API credentials.",[179,180,181,182,183],"Workspace provisioning and management","Data source and sink connection configuration","Processor lifecycle operations (create, start, stop, modify, delete)","Debugging diagnostics and health reporting","Tier sizing and performance tuning",[185,186,187],"Performing general MongoDB queries or data manipulation","Managing Atlas clusters directly (outside of stream processing connections)","Handling authentication outside of the MCP Server's configuration",[],[190,191,192],"MongoDB MCP Server","Atlas API credentials (apiClientId, apiClientSecret)","Atlas project ID","3.0.0","4.4.0","To enable users to efficiently build, operate, and debug MongoDB Atlas Stream Processing (ASP) pipelines through a structured, tool-driven workflow.","No critical or warning findings, indicating a high-quality and production-ready skill. The score is positioned high within the verified band due to the comprehensive documentation and robust feature set.",98,"A robust and well-documented skill for managing MongoDB Atlas Stream Processing workflows.",[200,201,202,203,204],"mongodb","atlas","streaming","data-pipelines","workflow-automation","global","verified",[208,209,210,211],"Setting up new Atlas Stream Processing workflows from scratch","Modifying existing processor pipelines and configurations","Debugging and troubleshooting failing or slow processors","Managing connections to Kafka, S3, Lambda, and other data sources/sinks",{"codeQuality":213,"collectedAt":215,"documentation":216,"maintenance":219,"security":224,"testCoverage":226},{"hasLockfile":214},false,1778694208756,{"descriptionLength":217,"readmeSize":218},425,2753,{"closedIssues90d":8,"forks":220,"hasChangelog":214,"manifestVersion":221,"openIssues90d":8,"pushedAt":222,"stars":223},20,"1.0.0",1778514087000,111,{"hasNpmPackage":214,"license":225,"smitheryVerified":214},"Apache-2.0",{"hasCi":227,"hasTests":214},true,{"updatedAt":229},1778694226310,{"basePath":231,"githubOwner":200,"githubRepo":232,"locale":18,"slug":233,"type":234},"skills/atlas-stream-processing","agent-skills","atlas-stream-processing","skill",{"_creationTime":236,"_id":237,"community":238,"display":239,"identity":242,"parentExtension":245,"providers":276,"relations":284,"tags":285,"workflow":286},1778694149049.3462,"k170hje3xzpy2mbkn00agzm38x86mkbz",{"reviewCount":8},{"description":240,"installMethods":241,"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":243,"githubOwner":200,"githubRepo":232,"locale":18,"slug":232,"type":244},"","plugin",{"_creationTime":246,"_id":247,"community":248,"display":249,"identity":253,"providers":255,"relations":269,"tags":271,"workflow":272},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":243,"githubOwner":200,"githubRepo":232,"locale":18,"slug":232,"type":254},"marketplace",{"evaluate":256,"extract":263},{"promptVersionExtension":257,"promptVersionScoring":194,"score":258,"tags":259,"targetMarket":205,"tier":262},"3.1.0",75,[200,260,232,261],"database","developer-tools","community",{"commitSha":264,"marketplace":265,"plugin":267},"HEAD",{"name":252,"pluginCount":266},1,{"mcpCount":8,"provider":268,"skillCount":8},"classify",{"repoId":270},"kd74vahs1zbjqzqbert490xyrd86nfv5",[232,260,261,200],{"evaluatedAt":273,"extractAt":274,"updatedAt":275},1778694174645,1778694149049,1778694461056,{"evaluate":277,"extract":281},{"promptVersionExtension":193,"promptVersionScoring":194,"score":278,"tags":279,"targetMarket":205,"tier":206},100,[200,201,202,203,280],"cloud-management",{"commitSha":264,"license":225,"plugin":282},{"mcpCount":8,"provider":268,"skillCount":283},7,{"parentExtensionId":247,"repoId":270},[201,280,203,200,202],{"evaluatedAt":287,"extractAt":274,"updatedAt":288},1778694205322,1778694461243,{"evaluate":290,"extract":292},{"promptVersionExtension":193,"promptVersionScoring":194,"score":197,"tags":291,"targetMarket":205,"tier":206},[200,201,202,203,204],{"commitSha":264,"license":225},{"parentExtensionId":237,"repoId":270},{"_creationTime":295,"_id":270,"identity":296,"providers":297,"workflow":494},1778694144418.9976,{"githubOwner":200,"githubRepo":232,"sourceUrl":14},{"classify":298,"discover":483,"github":486},{"commitSha":264,"extensions":299},[300,310,321,348,366,376,384,392,408,452,468],{"basePath":301,"displayName":302,"installMethods":303,"rationale":304,"selectedPaths":305,"source":309,"sourceLanguage":18,"type":254},".agents/plugins","mongodb-agent-skills",{"claudeCode":12},"marketplace.json at .agents/plugins/marketplace.json",[306],{"path":307,"priority":308},"marketplace.json","mandatory","rule",{"basePath":243,"displayName":252,"installMethods":311,"rationale":312,"selectedPaths":313,"source":309,"sourceLanguage":18,"type":254},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[314,316,318],{"path":315,"priority":308},".claude-plugin/marketplace.json",{"path":317,"priority":308},"README.md",{"path":319,"priority":320},"LICENSE","high",{"basePath":243,"description":240,"displayName":200,"installMethods":322,"license":225,"rationale":323,"selectedPaths":324,"source":309,"sourceLanguage":18,"type":244},{"claudeCode":200},"plugin manifest at .claude-plugin/plugin.json",[325,327,328,329,332,334,336,338,340,342,344,346],{"path":326,"priority":308},".claude-plugin/plugin.json",{"path":317,"priority":308},{"path":319,"priority":320},{"path":330,"priority":331},"skills/atlas-stream-processing/SKILL.md","medium",{"path":333,"priority":331},"skills/mongodb-connection/SKILL.md",{"path":335,"priority":331},"skills/mongodb-mcp-setup/SKILL.md",{"path":337,"priority":331},"skills/mongodb-natural-language-querying/SKILL.md",{"path":339,"priority":331},"skills/mongodb-query-optimizer/SKILL.md",{"path":341,"priority":331},"skills/mongodb-schema-design/SKILL.md",{"path":343,"priority":331},"skills/mongodb-search-and-ai/SKILL.md",{"path":345,"priority":320},".codex-plugin/plugin.json",{"path":347,"priority":320},".cursor-plugin/plugin.json",{"basePath":231,"description":10,"displayName":233,"installMethods":349,"rationale":350,"selectedPaths":351,"source":309,"sourceLanguage":18,"type":234},{"claudeCode":12},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[352,354,356,358,360,362,364],{"path":353,"priority":308},"SKILL.md",{"path":355,"priority":331},"references/connection-configs.md",{"path":357,"priority":331},"references/development-workflow.md",{"path":359,"priority":331},"references/mcp-troubleshooting.md",{"path":361,"priority":331},"references/output-diagnostics.md",{"path":363,"priority":331},"references/pipeline-patterns.md",{"path":365,"priority":331},"references/sizing-and-parallelism.md",{"basePath":367,"description":368,"displayName":369,"installMethods":370,"rationale":371,"selectedPaths":372,"source":309,"sourceLanguage":18,"type":234},"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",[373,374],{"path":353,"priority":308},{"path":375,"priority":331},"references/monitoring-guide.md",{"basePath":377,"description":378,"displayName":379,"installMethods":380,"rationale":381,"selectedPaths":382,"source":309,"sourceLanguage":18,"type":234},"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",[383],{"path":353,"priority":308},{"basePath":385,"description":386,"displayName":387,"installMethods":388,"rationale":389,"selectedPaths":390,"source":309,"sourceLanguage":18,"type":234},"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",[391],{"path":353,"priority":308},{"basePath":393,"description":394,"displayName":395,"installMethods":396,"rationale":397,"selectedPaths":398,"source":309,"sourceLanguage":18,"type":234},"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",[399,400,402,404,406],{"path":353,"priority":308},{"path":401,"priority":331},"references/aggregation-optimization.md",{"path":403,"priority":331},"references/antipattern-examples.md",{"path":405,"priority":331},"references/core-indexing-principles.md",{"path":407,"priority":331},"references/update-query-examples.md",{"basePath":409,"description":410,"displayName":411,"installMethods":412,"rationale":413,"selectedPaths":414,"source":309,"sourceLanguage":18,"type":234},"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",[415,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450],{"path":353,"priority":308},{"path":417,"priority":331},"references/antipattern-excessive-lookups.md",{"path":419,"priority":331},"references/antipattern-unnecessary-collections.md",{"path":421,"priority":331},"references/antipattern-unnecessary-indexes.md",{"path":423,"priority":331},"references/fundamental-document-model.md",{"path":425,"priority":331},"references/fundamental-document-size.md",{"path":427,"priority":331},"references/fundamental-embed-vs-reference.md",{"path":429,"priority":331},"references/fundamental-schema-validation.md",{"path":431,"priority":331},"references/pattern-approximation.md",{"path":433,"priority":331},"references/pattern-archive.md",{"path":435,"priority":331},"references/pattern-attribute.md",{"path":437,"priority":331},"references/pattern-bucket.md",{"path":439,"priority":331},"references/pattern-computed.md",{"path":441,"priority":331},"references/pattern-document-versioning.md",{"path":443,"priority":331},"references/pattern-extended-reference.md",{"path":445,"priority":331},"references/pattern-outlier.md",{"path":447,"priority":331},"references/pattern-polymorphic.md",{"path":449,"priority":331},"references/pattern-schema-versioning.md",{"path":451,"priority":331},"references/pattern-time-series-collections.md",{"basePath":453,"description":454,"displayName":455,"installMethods":456,"rationale":457,"selectedPaths":458,"source":309,"sourceLanguage":18,"type":234},"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",[459,460,462,464,466],{"path":353,"priority":308},{"path":461,"priority":331},"references/hybrid-search.md",{"path":463,"priority":331},"references/lexical-search-indexing.md",{"path":465,"priority":331},"references/lexical-search-querying.md",{"path":467,"priority":331},"references/vector-search.md",{"basePath":469,"description":470,"displayName":471,"installMethods":472,"rationale":473,"selectedPaths":474,"source":309,"sourceLanguage":18,"type":234},"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",[475,476,479,481],{"path":353,"priority":308},{"path":477,"priority":478},"assets/report.md","low",{"path":480,"priority":331},"references/install-skill-validator.md",{"path":482,"priority":331},"references/llm-scoring.md",{"sources":484},[485],"manual",{"closedIssues90d":8,"description":250,"forks":220,"license":225,"openIssues90d":8,"pushedAt":222,"readmeSize":218,"stars":223,"topics":487},[488,489,490,491,492,493],"agent","claude","cursor","gemini-cli-extension","mcp","skills",{"classifiedAt":495,"discoverAt":496,"extractAt":497,"githubAt":497,"updatedAt":495},1778694148853,1778694144419,1778694146756,[201,203,200,202,204],{"evaluatedAt":229,"extractAt":274,"updatedAt":500},1778694461678,[],[503,523,543,563,592,621],{"_creationTime":504,"_id":505,"community":506,"display":507,"identity":509,"providers":510,"relations":518,"tags":519,"workflow":520},1778694149049.348,"k17b18bc1pkwm6r3xttpqzefj586ms2r",{"reviewCount":8},{"description":454,"installMethods":508,"name":455,"sourceUrl":14},{"claudeCode":12},{"basePath":453,"githubOwner":200,"githubRepo":232,"locale":18,"slug":455,"type":234},{"evaluate":511,"extract":517},{"promptVersionExtension":193,"promptVersionScoring":194,"score":278,"tags":512,"targetMarket":205,"tier":206},[200,513,514,515,260,516],"atlas-search","vector-search","hybrid-search","search",{"commitSha":264},{"parentExtensionId":237,"repoId":270},[513,260,515,200,516,514],{"evaluatedAt":521,"extractAt":274,"updatedAt":522},1778694322274,1778694462613,{"_creationTime":524,"_id":525,"community":526,"display":527,"identity":529,"providers":530,"relations":538,"tags":539,"workflow":540},1778694149049.347,"k1798fc1hmtx3bmdgwyn3fet2d86mzt5",{"reviewCount":8},{"description":378,"installMethods":528,"name":379,"sourceUrl":14},{"claudeCode":12},{"basePath":377,"githubOwner":200,"githubRepo":232,"locale":18,"slug":379,"type":234},{"evaluate":531,"extract":537},{"promptVersionExtension":193,"promptVersionScoring":194,"score":278,"tags":532,"targetMarket":205,"tier":206},[200,492,533,534,535,536],"configuration","setup","authentication","cli",{"commitSha":264},{"parentExtensionId":237,"repoId":270},[535,536,533,492,200,534],{"evaluatedAt":541,"extractAt":274,"updatedAt":542},1778694262565,1778694462010,{"_creationTime":544,"_id":545,"community":546,"display":547,"identity":550,"providers":551,"relations":558,"tags":559,"workflow":560},1778694149049.3467,"k175wmq2n17n23xzphj2zzt3qs86n3xd",{"reviewCount":8},{"description":368,"installMethods":548,"name":549,"sourceUrl":14},{"claudeCode":12},"MongoDB Connection Optimizer",{"basePath":367,"githubOwner":200,"githubRepo":232,"locale":18,"slug":369,"type":234},{"evaluate":552,"extract":557},{"promptVersionExtension":193,"promptVersionScoring":194,"score":278,"tags":553,"targetMarket":205,"tier":206},[200,260,554,555,556,533],"connection","performance","optimization",{"commitSha":264,"license":225},{"parentExtensionId":237,"repoId":270},[533,554,260,200,556,555],{"evaluatedAt":561,"extractAt":274,"updatedAt":562},1778694243014,1778694461446,{"_creationTime":564,"_id":565,"community":566,"display":567,"identity":573,"providers":577,"relations":585,"tags":587,"workflow":588},1778692607327.2307,"k17bwx69hk0p0w7rnpzvv2p16h86mp2k",{"reviewCount":8},{"description":568,"installMethods":569,"name":571,"sourceUrl":572},"Execute coding tasks with a strict delivery workflow: build a full plan, implement one step at a time, run tests continuously, and commit by default after each step (`per_step`). Support explicit commit policy overrides (`final_only`, `milestone`) and optional BDD (Given/When/Then) when users ask for behavior-driven delivery or requirements are unclear.",{"claudeCode":570},"majiayu000/vibeguard","fixflow","https://github.com/majiayu000/vibeguard",{"basePath":574,"githubOwner":575,"githubRepo":576,"locale":18,"slug":571,"type":234},"workflows/fixflow","majiayu000","vibeguard",{"evaluate":578,"extract":584},{"promptVersionExtension":193,"promptVersionScoring":194,"score":278,"tags":579,"targetMarket":205,"tier":206},[580,581,261,582,204,583],"code-quality","ai-safety","code-generation","security",{"commitSha":264},{"repoId":586},"kd7b0vh258xpbyerk68bk3e1ks86mk58",[581,582,580,261,583,204],{"evaluatedAt":589,"extractAt":590,"updatedAt":591},1778692812461,1778692607327,1778693059223,{"_creationTime":593,"_id":594,"community":595,"display":596,"identity":602,"providers":606,"relations":615,"tags":617,"workflow":618},1778691799740.4683,"k1794z8maqm6hayneb6tsjvxhs86na8f",{"reviewCount":8},{"description":597,"installMethods":598,"name":600,"sourceUrl":601},"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":599},"K-Dense-AI/claude-scientific-skills","autoskill","https://github.com/K-Dense-AI/claude-scientific-skills",{"basePath":603,"githubOwner":604,"githubRepo":605,"locale":18,"slug":600,"type":234},"scientific-skills/autoskill","K-Dense-AI","claude-scientific-skills",{"evaluate":607,"extract":613},{"promptVersionExtension":193,"promptVersionScoring":194,"score":278,"tags":608,"targetMarket":205,"tier":206},[204,609,610,611,612],"skill-discovery","research-assistant","llm-integration","screenpipe",{"commitSha":264,"license":614},"MIT",{"repoId":616},"kd79rphh5gexy91xmpxc05h5mh86mm9r",[611,610,612,609,204],{"evaluatedAt":619,"extractAt":620,"updatedAt":619},1778691975656,1778691799740,{"_creationTime":622,"_id":623,"community":624,"display":625,"identity":631,"providers":635,"relations":644,"tags":646,"workflow":647},1778695660274.5046,"k173apcy2h7pqz5877y2hwdw6186my7n",{"reviewCount":8},{"description":626,"installMethods":627,"name":629,"sourceUrl":630},"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":628},"PostHog/posthog","tuning-incremental-sync-config","https://github.com/PostHog/posthog",{"basePath":632,"githubOwner":633,"githubRepo":634,"locale":18,"slug":629,"type":234},"products/data_warehouse/skills/tuning-incremental-sync-config","PostHog","posthog",{"evaluate":636,"extract":643},{"promptVersionExtension":193,"promptVersionScoring":194,"score":637,"tags":638,"targetMarket":205,"tier":206},99,[639,640,641,642,203],"data-warehouse","sync-configuration","schema-management","etl",{"commitSha":264},{"repoId":645},"kd7f22zf7qb3eschtk9s2qdv4586mfts",[203,639,642,641,640],{"evaluatedAt":648,"extractAt":649,"updatedAt":648},1778697006897,1778695660274]