mongodb-document-modeling-aggregation
/mongodb-document-modeling-aggregation
Use this skill when modeling polymorphic document collections and executing multi-stage aggregation pipelines in MongoDB.
- Author
- nextboxis ↗
- Repository
- library-skill-agents ↗
- Licence
- MIT
- Last repository change
- 28.10.2026
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No signals detected. Repository changed on 28.10.2026, without references to retired models or APIs.
MIT, open: use and modify while retaining author attribution.
What it does and when to use it
Use this skill when modeling polymorphic document collections and executing multi-stage aggregation pipelines in MongoDB.
Original author description
Use this skill when modeling polymorphic document collections and executing multi-stage aggregation pipelines in MongoDB.
How it works
- When to use
- Prerequisites
- Step-by-step workflow
- Commands / code examples
- Common mistakes & pitfalls
- Verification checklist
- Related skills
SKILL.md preview
--- name: mongodb-document-modeling-aggregation description: Use this skill when modeling polymorphic document collections and executing multi-stage aggregation pipelines in MongoDB. --- # MongoDB Document Modeling & Aggregations ## When to use Use this skill when you need to modeling polymorphic document collections and executing multi-stage aggregation pipelines in MongoDB. ## Prerequisites - Working knowledge of relevant programming language or database fundamentals. - Access to testing environment or local runtime instance. ## Step-by-step workflow 1. **Analyze operational requirements**: Review performance boundaries, data integrity constraints, and query patterns. 2. **Design schema / interface**: Define explicit data contracts, types, or indexes supporting planned operations. 3. **Implement core routines**: Construct declarative, type-safe, or parameterized queries and functions. 4. **Validate performance**: Verify execution metrics using profilers, EXPLAIN plans, or benchmark test suites. 5. **Implement defensive controls**: Enforce timeout boundaries, connection pooling limits, and transaction safety. ## Commands / code examples ```sql -- Production query and schema pattern for mongodb-document-modeling-aggregation BEGIN; SELECT 1; COMMIT; ``` ## Common mistakes & pitfalls - Overlooking indexing strategies on foreign keys and frequently queried filter columns. - Running unparameterized dynamic queries, creating severe SQL injection vulnerabilities. - Holding open long-running database transactions during slow external network calls. ## Verification checklist - [ ] Schema contracts and type signatures are strictly enforced. - [ ] Queries are fully parameterized against injection vulnerabilities. - [ ] Profiling or execution plans show optimal resource consumption. - [ ] Error handling safely releases locks and rolls back aborted transactions. ## Related skills - postgresql-query-optimization-explain - sql-anti-patterns-remediation - acid-transactions-isolation-levels - secure-code-review-static-analysis-sast
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Database snapshot: 13.11.2026 · package version e1c0f4b79b93 (SHA-256 digest of the entire package)
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