Identify MongoDB drivers and ODMs, then catalog schemas and indexes.
npx skills add https://github.com/nholder88/ai-agent-workflows --skill data-mongodb
Please help me install this Agent Skill. Skill: data-mongodb Source: https://github.com/nholder88/ai-agent-workflows/tree/main/skills/data-mongodb Command: npx skills add https://github.com/nholder88/ai-agent-workflows --skill data-mongodb
MongoDB schema design, aggregation pipelines, index strategy, TTL indexes, explain plan analysis, and performance diagnosis for document databases. USE FOR: MongoDB queries, aggregation pipelines, schema design (embed vs reference), index strategy, performance tuning.
Analyze a MongoDB project and produce a schema design and indexing plan.
High-intent search queries and answers about installing and using this skill.
Optimizing MongoDB schema design involves analyzing query patterns to choose between embedding or referencing documents. This Skill catalogs your schemas, validators, and indexes to recommend a structured schema design that improves query performance.
Analyzing MongoDB explain plans diagnoses slow queries by revealing execution stages and index usage. This Skill examines your operations and explain plans to identify performance bottlenecks and recommend targeted query optimizations.
Yes, this MongoDB optimization tool works with Mongoose and Prisma. It detects the specific MongoDB driver or ODM used in your project from configuration files to accurately catalog models and tailor the indexing strategy.
TTL indexes in MongoDB should be used when you need to automatically remove expired documents from a collection. This Skill incorporates TTL index strategy alongside schema design and aggregation pipeline analysis to manage data lifecycle.
The best way to fix N+1 query patterns in MongoDB is to catalog common N+1 occurrences and adjust schema references or use aggregation pipelines. This Skill identifies these patterns to inform design decisions and recommend schema adjustments.
Building an indexing strategy for MongoDB aggregation pipelines requires analyzing pipeline stages to ensure early filtering. This Skill analyzes your aggregation requests and recommends specific indexes and schema adjustments to improve performance.
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