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feat(skills): package 7 MongoDB skills (#508)
Packages 7 skills from mongodb/agent-skills (Apache-2.0), pinned to upstream eba6ae3 (main as of 2026-04-07). - atlas-stream-processing — real-time stream processing pipelines - mongodb-connection — connection strings, TLS, auth across drivers - mongodb-mcp-setup — guided setup of the MongoDB MCP server - mongodb-natural-language-querying — NL-to-query and aggregation - mongodb-query-optimizer — explain plans, indexes, anti-patterns - mongodb-schema-design — document modeling patterns - mongodb-search-and-ai — Atlas Search, vector search, RAG MCP dependency: mongodb-mcp-setup references the MongoDB MCP server. The MongoDB MCP server IS packaged in the toolhive catalog (registries/*/servers/mongodb), so the dependency is satisfied per skill-criteria.md. Security: all 7 pass with only MANIFEST_MISSING_LICENSE. Refs #483 Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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‎skills/atlas-stream-processing/spec.yaml‎

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# MongoDB atlas-stream-processing Skill
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# Build real-time stream processing pipelines with MongoDB Atlas.
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# Source: https://github.com/mongodb/agent-skills
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# Will publish as: ghcr.io/stacklok/dockyard/skills/atlas-stream-processing:0.1.0
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metadata:
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name: atlas-stream-processing
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description: "Build real-time stream processing pipelines with MongoDB Atlas Stream Processing — continuous queries over Kafka and MongoDB sources, windowing, aggregations, and enrichment"
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spec:
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repository: "https://github.com/mongodb/agent-skills"
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ref: "eba6ae3f673baecb38d8ecd9df3ea4ce1f254443" # main as of 2026-04-07
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path: "skills/atlas-stream-processing"
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version: "0.1.0"
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provenance:
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repository_uri: "https://github.com/mongodb/agent-skills"
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repository_ref: "refs/heads/main"
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security:
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allowed_issues:
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- rule_id: MANIFEST_MISSING_LICENSE
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reason: "mongodb/agent-skills is licensed Apache-2.0 at the repository root; upstream does not embed an SPDX license identifier in per-skill SKILL.md frontmatter."

‎skills/mongodb-connection/spec.yaml‎

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# MongoDB mongodb-connection Skill
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# Configure MongoDB connections across drivers and deployment targets.
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# Source: https://github.com/mongodb/agent-skills
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# Will publish as: ghcr.io/stacklok/dockyard/skills/mongodb-connection:0.1.0
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metadata:
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name: mongodb-connection
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description: "Configure MongoDB connections across drivers and deployment targets — connection strings, TLS, auth (SCRAM, X.509, AWS IAM), replica sets, pooling, serverless, and troubleshooting patterns"
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spec:
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repository: "https://github.com/mongodb/agent-skills"
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ref: "eba6ae3f673baecb38d8ecd9df3ea4ce1f254443" # main as of 2026-04-07
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path: "skills/mongodb-connection"
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version: "0.1.0"
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provenance:
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repository_uri: "https://github.com/mongodb/agent-skills"
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repository_ref: "refs/heads/main"
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security:
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allowed_issues:
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- rule_id: MANIFEST_MISSING_LICENSE
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reason: "mongodb/agent-skills is licensed Apache-2.0 at the repository root; upstream does not embed an SPDX license identifier in per-skill SKILL.md frontmatter."

‎skills/mongodb-mcp-setup/spec.yaml‎

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# MongoDB mongodb-mcp-setup Skill
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# Set up the MongoDB MCP server in an agent environment.
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# Depends on: MongoDB MCP server (packaged in toolhive-catalog under
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# registries/*/servers/mongodb).
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# Source: https://github.com/mongodb/agent-skills
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# Will publish as: ghcr.io/stacklok/dockyard/skills/mongodb-mcp-setup:0.1.0
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metadata:
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name: mongodb-mcp-setup
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description: "Set up the MongoDB MCP server — install, authenticate, configure tools and scopes; guided integration with Claude Code, Cursor, and other MCP-compatible agents"
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spec:
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repository: "https://github.com/mongodb/agent-skills"
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ref: "eba6ae3f673baecb38d8ecd9df3ea4ce1f254443" # main as of 2026-04-07
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path: "skills/mongodb-mcp-setup"
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version: "0.1.0"
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provenance:
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repository_uri: "https://github.com/mongodb/agent-skills"
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repository_ref: "refs/heads/main"
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security:
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allowed_issues:
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- rule_id: MANIFEST_MISSING_LICENSE
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reason: "mongodb/agent-skills is licensed Apache-2.0 at the repository root; upstream does not embed an SPDX license identifier in per-skill SKILL.md frontmatter."

‎skills/mongodb-natural-language-querying/spec.yaml‎

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# MongoDB mongodb-natural-language-querying Skill
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# Translate natural language to MongoDB queries and aggregations.
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# Source: https://github.com/mongodb/agent-skills
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# Will publish as: ghcr.io/stacklok/dockyard/skills/mongodb-natural-language-querying:0.1.0
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metadata:
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name: mongodb-natural-language-querying
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description: "Translate natural-language requests into MongoDB queries and aggregations — schema-aware query generation, aggregation pipeline stages, and index-aware plan hints"
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spec:
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repository: "https://github.com/mongodb/agent-skills"
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ref: "eba6ae3f673baecb38d8ecd9df3ea4ce1f254443" # main as of 2026-04-07
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path: "skills/mongodb-natural-language-querying"
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version: "0.1.0"
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provenance:
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repository_uri: "https://github.com/mongodb/agent-skills"
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repository_ref: "refs/heads/main"
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security:
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allowed_issues:
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- rule_id: MANIFEST_MISSING_LICENSE
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reason: "mongodb/agent-skills is licensed Apache-2.0 at the repository root; upstream does not embed an SPDX license identifier in per-skill SKILL.md frontmatter."

‎skills/mongodb-query-optimizer/spec.yaml‎

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# MongoDB mongodb-query-optimizer Skill
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# Analyze and optimize MongoDB queries and aggregation pipelines.
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# Source: https://github.com/mongodb/agent-skills
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# Will publish as: ghcr.io/stacklok/dockyard/skills/mongodb-query-optimizer:0.1.0
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metadata:
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name: mongodb-query-optimizer
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description: "Analyze and optimize MongoDB queries and aggregation pipelines — explain plans, index design, stage ordering, covered queries, and performance anti-patterns"
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spec:
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repository: "https://github.com/mongodb/agent-skills"
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ref: "eba6ae3f673baecb38d8ecd9df3ea4ce1f254443" # main as of 2026-04-07
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path: "skills/mongodb-query-optimizer"
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version: "0.1.0"
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provenance:
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repository_uri: "https://github.com/mongodb/agent-skills"
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repository_ref: "refs/heads/main"
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security:
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allowed_issues:
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- rule_id: MANIFEST_MISSING_LICENSE
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reason: "mongodb/agent-skills is licensed Apache-2.0 at the repository root; upstream does not embed an SPDX license identifier in per-skill SKILL.md frontmatter."

‎skills/mongodb-schema-design/spec.yaml‎

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# MongoDB mongodb-schema-design Skill
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# Design effective MongoDB schemas using document modeling patterns.
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# Source: https://github.com/mongodb/agent-skills
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# Will publish as: ghcr.io/stacklok/dockyard/skills/mongodb-schema-design:0.1.0
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metadata:
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name: mongodb-schema-design
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description: "Design effective MongoDB schemas — document modeling patterns (embedding, referencing, bucketing, polymorphism, extended reference), cardinality trade-offs, and index strategy"
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spec:
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repository: "https://github.com/mongodb/agent-skills"
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ref: "eba6ae3f673baecb38d8ecd9df3ea4ce1f254443" # main as of 2026-04-07
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path: "skills/mongodb-schema-design"
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version: "0.1.0"
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provenance:
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repository_uri: "https://github.com/mongodb/agent-skills"
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repository_ref: "refs/heads/main"
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security:
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allowed_issues:
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- rule_id: MANIFEST_MISSING_LICENSE
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reason: "mongodb/agent-skills is licensed Apache-2.0 at the repository root; upstream does not embed an SPDX license identifier in per-skill SKILL.md frontmatter."

‎skills/mongodb-search-and-ai/spec.yaml‎

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# MongoDB mongodb-search-and-ai Skill
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# Build Atlas Search and vector-search (AI) workloads on MongoDB.
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# Source: https://github.com/mongodb/agent-skills
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# Will publish as: ghcr.io/stacklok/dockyard/skills/mongodb-search-and-ai:0.1.0
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metadata:
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name: mongodb-search-and-ai
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description: "Build Atlas Search and vector-search AI workloads on MongoDB — full-text search, vector indexes, hybrid search, RAG patterns, embedding providers, and query tuning"
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spec:
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repository: "https://github.com/mongodb/agent-skills"
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ref: "eba6ae3f673baecb38d8ecd9df3ea4ce1f254443" # main as of 2026-04-07
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path: "skills/mongodb-search-and-ai"
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version: "0.1.0"
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provenance:
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repository_uri: "https://github.com/mongodb/agent-skills"
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repository_ref: "refs/heads/main"
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security:
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allowed_issues:
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- rule_id: MANIFEST_MISSING_LICENSE
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reason: "mongodb/agent-skills is licensed Apache-2.0 at the repository root; upstream does not embed an SPDX license identifier in per-skill SKILL.md frontmatter."

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