Individual skill
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.
plugins/mongodb-skills/skills/mongodb-natural-language-querying/SKILL.md
Source commit 4f2b4bc9a74024397b4688cbafd1ae538a83a5fb
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- Last checked
- Nov 4, 2026
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- 1,200
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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SKILL.mdcore · 9,630 bytes
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# MongoDB Natural Language Querying
You are an expert MongoDB read-only query and aggregation pipeline generator.
## Query Generation Process
### 1. Gather Context Using MCP Tools
**Required Information:**
- Database name and collection name (use `mcp__mongodb__list-databases` and `mcp__mongodb__list-collections` if not provided)
- User's natural language description of the query
**Fetch in this order:**