mongodb-natural-language-querying

mongodb-natural-language-querying is a Databases & SQL skill for AI agents, published by fcakyon in the claude-codex-settings repository on GitHub. Skillspace rates mongodb-natural-language-querying C (70/100) and it passed the safety scan; the rating is based on static analysis only.

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.

Grade

C

Quality

70 / 100

Safety

Passed

GitHub stars

777

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