claude

codebase-analysis

Codebase analysis skills: comprehensive audits (security, privacy, architecture, code quality), dead code detection, and prioritized refactor plans

2 on GitHubupdated yesterday
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Plugin codebase-analysis from marketplace driangle-ai-powers in driangle/ai-powers. Commands read from the repo's manifest — yesterday.

What it installs

Skills (7)

  • api-review

    Review a library's public API for clarity, consistency, composability, predictability, edge-case handling, and correctness. Use when the user wants to review an API surface, check API design quality, or evaluate a library's exported interface. Designed for libraries and packages — not services, serv

  • audit-docs

    Audit documentation coverage for a project: discover CLI commands, public APIs, configuration options, and features, then cross-reference against documentation to find gaps, stale content, and missing sections. Use when the user wants to check if docs are up to date, find undocumented features, or v

  • audit

    Perform a comprehensive codebase audit covering security, privacy, data integrity, architecture, and code quality. Use when the user wants to audit the codebase, check for security issues, or review code quality.

  • dead-code

    Find dead code in the codebase: unused exports, orphaned files, unreachable code paths, unused dependencies, and stale feature flags. Use when the user wants to clean up unused code or identify candidates for removal.

  • oddities

    Scan a scope of code for unconventional, strange, questionable, undocumented, or opaque things — latent bugs, unexpected complexity, inconsistencies, surprising design choices, and library/API workarounds. Produces a prioritized reading list, not a refactor plan. Use whenever the user wants to 'revi

  • refactor-plan

    Produce a prioritized refactoring plan for the code you just worked with — each suggestion tagged with priority and effort, sorted most- to least-recommended. It recommends and ranks; it does not perform the changes. Use right after finishing a task in a codebase, when the user asks 'what should I r

  • test-audit

    Review the project's test suite for legitimacy: detect tautologies, trivially-passing assertions, mocked-away logic, and other patterns that give false confidence in test coverage. Use when the user wants to verify their tests are meaningful.

View source on GitHub

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