implement-specs

implement-specs is an Engineering planning & specs skill for AI agents, published by Terry-Mao in the AICodingFlow repository on GitHub. Skillspace rates implement-specs C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Implement an approved feature from the repository's product and tech specs, keeping specs and code aligned in the same change as implementation evolves. Use after the product and tech specs are approved and the next step is building the feature.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
141

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

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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

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