component-decision-tree
component-decision-tree is a Design systems & theming skill for AI agents, published by murphytrueman in the design-system-ops repository on GitHub. Skillspace rates component-decision-tree D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Build queryable decision trees that help agents and teams choose between components — structured YAML files mapping user intents to the correct component through a sequence of narrowing questions. This produces selection logic for choosing BETWEEN components, NOT usage guidelines for a single component. Trigger when someone says: component decision tree, which component should I use, help me choose between, selection guide, decision framework, modal vs dialog, intent-to-component mapping, or anything about creating structured logic for picking the right component from alternatives. Do NOT trigger for usage guidance on a specific component — use usage-guidelines for that.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 143
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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