spec-writing
spec-writing is an Engineering planning & specs skill for AI agents, published by crbnos in the carbon repository on GitHub. Skillspace rates spec-writing D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Design a feature and write its spec at .ai/specs/{YYYY-MM-DD}-{slug}.md, with competitor research and explicit design decisions. Open questions are resolved with the user BEFORE the spec is written — the interview comes first, the document second. Use when designing or brainstorming a new feature, a new module, a data-model change, or any change touching 3+ files or crossing modules. Do not use for small bug fixes or one-file refactors, and do not start implementation from this skill — implementation starts only after the spec is written with every question resolved.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 2,401
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.
Our review
- Architecture
- 88 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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