improve-codebase-architecture

improve-codebase-architecture is a Codebase audits & code health skill for AI agents, published by citypaul in the .dotfiles repository on GitHub. Skillspace rates improve-codebase-architecture D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Audit an existing repository or multi-module subsystem for evidence-backed architecture improvements, rank bounded candidates, and present them in a visual HTML report with before-and-after diagrams and a top recommendation. Use when the user asks where architecture investment would pay off across a codebase, wants multiple architecture candidates ranked, or needs systemic coupling, shotgun-change, testability, or AI-navigability problems diagnosed. For one named module's responsibility, deepening, splitting, or contract use codebase-design; for a source-tree or package audit use structure-codebase; for an already-selected path whose success is an evidence-backed net-mechanism-reduction claim use reduce-system-complexity. This is audit-and-selection by default.

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
684

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
87 / 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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