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mongodb-document-modeling-aggregation

/mongodb-document-modeling-aggregation

Use this skill when modeling polymorphic document collections and executing multi-stage aggregation pipelines in MongoDB.

Licence
MIT
Last repository change
28.10.2026

Assessment and security

100/ 100Class: good
Format25 / 25
Frontmatter with name and description, valid name, description up to 1,024 characters, name matching the folder.
Discoverability25 / 25
Description explains when to use the skill, has a reasonable length and uses third person.
Content35 / 35
At least 150 words and at most 500 lines, headings, step lists, examples or code.
Hygiene15 / 15
No placeholders such as TODO, no Windows paths, with a licence.
Riskno signals detected in the scan
Files in this package
1
Scripts
0
HTML comments
0
URLs in SKILL.md
0
Deprecation

No signals detected. Repository changed on 28.10.2026, without references to retired models or APIs.

Licence

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

  1. When to use
  2. Prerequisites
  3. Step-by-step workflow
  4. Commands / code examples
  5. Common mistakes & pitfalls
  6. Verification checklist
  7. Related skills
Original SKILL.md headings · 43 lines, 235 words
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

Versions

The database has no other skills named mongodb-document-modeling-aggregation.

Database snapshot: 13.11.2026 · package version e1c0f4b79b93 (SHA-256 digest of the entire package)

Downloads in the last 30 days: 0 · ranking

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