stacks-domain-modeling
stacks-domain-modeling is a Design patterns & component architecture skill for AI agents, published by stacksjs in the stacks repository on GitHub. Skillspace rates stacks-domain-modeling C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when building or sharpening a Stacks project's domain language - challenging a fuzzy or overloaded term, naming a model or event, writing or editing CONTEXT.md, or recording an architecture decision as an ADR under docs/adr/.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 627
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
- 99 / 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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