MongoDB Best Practices
SkillDatabases & dataApply MongoDB data-modeling, indexing, and query rules from access patterns. Use when designing schemas, choosing embed vs reference, or tuning MongoDB query behavior.
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Then ask your AI: use the MongoDB Best Practices skill
What this skill tells your AI
The instructions your AI receives, as published by hoangnguyen0403/agent-skills-standard in skills/database/database-mongodb/SKILL.md and read by ahel’s review.
Priority: P0 (CRITICAL)
Rules
- Model from access patterns: data read together should usually live together.
- Embed for bounded one-to-few data; reference for unbounded growth or independent lifecycle.
- Build indexes for real queries, not theoretical flexibility. Use ESR ordering for equality -> sort -> range compound indexes.
- Use transactions only when single-document guarantees are insufficient.
Verify
- Embed vs reference choice matches cardinality and lifecycle.
- Compound index order matches equality -> sort -> range access.
- Large pagination uses cursor patterns, not deep
skip(). - Explain output supports the chosen indexes; review
keysExaminedanddocsExamined. - Unbounded arrays and hot shard keys were reviewed.
Anti-Patterns
- No unbounded arrays: Use
$pushwith$sliceor redesign using Bucket Pattern. - No client-side filtering: Project only needed fields; never fetch full docs to filter in memory.
- No deep nesting: Keep nesting ≤4 levels; flatten paths that frequently queried.
- No index cargo cult: each index must map to a read path and write tradeoff.
References
Signals
- GitHub stars
- 565
- Forks
- 164
- Last commit
- Sep 2026
ahel review
S4info
community integration — published by hoangnguyen0403, not mongodb
Automated review, not a security audit. Ruleset v1.
Advanced
- Catalog kind
- skill
- Gateway key
database-mongodb- Source
- github.com/hoangnguyen0403/agent-skills-standard