reduce-system-complexity
reduce-system-complexity is a Refactoring & code quality skill for AI agents, published by citypaul in the .dotfiles repository on GitHub. Skillspace rates reduce-system-complexity C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Reduce total mechanism in a selected existing system or behavior path while conserving its agreed observable behavior and non-functional guarantees. Use when the user explicitly wants fewer branches, states, dependencies, layers, flags, retries, jobs, adapters, or operational moving parts and needs evidence that complexity was removed rather than relocated. Supports read-only diagnosis and authorized reduction slices. Not for routine cleanup, architecture-investment discovery, module-contract design, physical tree design, new behavior, functionality cuts, speculative rewrites, or Redux/functional reducer functions.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 684
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- 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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