using-document-databases

using-document-databases is a Databases & SQL skill for AI agents, published by ancoleman in the ai-design-components repository on GitHub. Skillspace rates using-document-databases C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
387

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubancoleman/ai-design-components

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 2 other repositories, in 2 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

More Databases & SQL skills

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.