architecture-deepener
architecture-deepener is a Codebase audits & code health skill for AI agents, published by felvieira in the claude-skills-fv repository on GitHub. Skillspace rates architecture-deepener F (52/100) and it passed the safety scan; the rating is based on static analysis only.
Encontra oportunidades de "deepening" no codebase — refactors que transformam modulos shallow (interface complexa, implementacao simples) em deep (interface simples, implementacao rica). Foco em testabilidade e AI-navigability. Use quando usuario quiser melhorar arquitetura, encontrar oportunidades de refactor, consolidar modulos acoplados, ou preparar codebase para trabalho de agente. Trigger em: "deepening", "deep module", "shallow module", "refactor architecture", "improve architecture", "consolidate modules", "agent-friendly codebase", "AI-navigable", "module depth".
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 70 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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