enrich-us

enrich-us is a Requirements & PRDs skill for AI agents, published by LIDR-academy in the AI4Devs-LTI-extended repository on GitHub. Skillspace rates enrich-us C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze and enhance Jira user stories with complete, implementation-ready technical detail.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
266

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 3 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Enriching Jira tickets via Jira MCP

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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