implementation-planning
implementation-planning is an Execution & autonomous loops skill for AI agents, published by neuromechanist in the research-skills repository on GitHub. Skillspace rates implementation-planning D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when the user asks to "plan this feature", "write an implementation plan", "design before coding", "think through the approach", "review this plan", or before any multi-file change, architectural decision, experiment with a go/no-go outcome, or strategic pivot. Produces a verifiable plan with pre-registered decision gates and an explicit list of open judgment calls.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 36
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
- 95 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- BSD-3-Clause
- 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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