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Requires MongoDB MCP Server with Atlas API credentials.","atlas-stream-processing",{"claudeCode":54},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[321,323,325,327,329,331,333],{"path":322,"priority":272},"SKILL.md",{"path":324,"priority":297},"references/connection-configs.md",{"path":326,"priority":297},"references/development-workflow.md",{"path":328,"priority":297},"references/mcp-troubleshooting.md",{"path":330,"priority":297},"references/output-diagnostics.md",{"path":332,"priority":297},"references/pipeline-patterns.md",{"path":334,"priority":297},"references/sizing-and-parallelism.md","skill",{"basePath":337,"description":338,"displayName":339,"installMethods":340,"rationale":341,"selectedPaths":342,"source":273,"sourceLanguage":274,"type":335},"skills/mongodb-connection","Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. 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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":54},"SKILL.md frontmatter at skills/mongodb-mcp-setup/SKILL.md",[353],{"path":322,"priority":272},{"basePath":355,"description":356,"displayName":357,"installMethods":358,"rationale":359,"selectedPaths":360,"source":273,"sourceLanguage":274,"type":335},"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":54},"SKILL.md frontmatter at skills/mongodb-natural-language-querying/SKILL.md",[361],{"path":322,"priority":272},{"basePath":363,"description":364,"displayName":365,"installMethods":366,"rationale":367,"selectedPaths":368,"source":273,"sourceLanguage":274,"type":335},"skills/mongodb-query-optimizer","Help with MongoDB query optimization and indexing. 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Triggers on \"design schema\", \"embed vs reference\", \"MongoDB data model\", \"schema review\", \"unbounded arrays\", \"one-to-many\", \"tree structure\", \"16MB limit\", \"schema validation\", \"JSON Schema\", \"time series\", \"schema migration\", \"polymorphic\", \"TTL\", \"data lifecycle\", \"archive\", \"index explosion\", \"unnecessary indexes\", \"approximation pattern\", \"document versioning\".","mongodb-schema-design",{"claudeCode":54},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[385,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420],{"path":322,"priority":272},{"path":387,"priority":297},"references/antipattern-excessive-lookups.md",{"path":389,"priority":297},"references/antipattern-unnecessary-collections.md",{"path":391,"priority":297},"references/antipattern-unnecessary-indexes.md",{"path":393,"priority":297},"references/fundamental-document-model.md",{"path":395,"priority":297},"references/fundamental-document-size.md",{"path":397,"priority":297},"references/fundamental-embed-vs-reference.md",{"path":399,"priority":297},"references/fundamental-schema-validation.md",{"path":401,"priority":297},"references/pattern-approximation.md",{"path":403,"priority":297},"references/pattern-archive.md",{"path":405,"priority":297},"references/pattern-attribute.md",{"path":407,"priority":297},"references/pattern-bucket.md",{"path":409,"priority":297},"references/pattern-computed.md",{"path":411,"priority":297},"references/pattern-document-versioning.md",{"path":413,"priority":297},"references/pattern-extended-reference.md",{"path":415,"priority":297},"references/pattern-outlier.md",{"path":417,"priority":297},"references/pattern-polymorphic.md",{"path":419,"priority":297},"references/pattern-schema-versioning.md",{"path":421,"priority":297},"references/pattern-time-series-collections.md",{"basePath":423,"description":424,"displayName":425,"installMethods":426,"rationale":427,"selectedPaths":428,"source":273,"sourceLanguage":274,"type":335},"skills/mongodb-search-and-ai","Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. 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