codebase-analysis

Analyze unfamiliar codebases by running a Python script that executes a multi-phase evaluation. It guides you through exploration, focus selection, deep investigation, and verification, ensuring architecture evaluation is grounded in structured investigation and explicit evidence collection.

Evaluate code architecture by running a multi-phased codebase analysis that mandates structured investigation and evidence collection. It systematically explores the project, verifies architectural patterns, and synthesizes findings grounded in explicit file:line references and quoted code snippets before you plan changes.

Yes, you need a Python execution environment to run the analysis script. The skill requires this environment to execute its systematic, multi-phase investigation process for codebase understanding, security reviews, performance assessments, and architectural evaluations.

Document code findings with evidence by following a phased analysis approach that requires explicit documentation. It mandates collecting evidence via file:line references and quoted code snippets during deep investigation, culminating in a final synthesis report of your findings.

Assess codebase performance by using a phased analysis approach that guides through exploration and focus selection before deep investigation. This targeted performance analysis identifies critical areas systematically, requiring evidence collection via file:line references rather than manually reading every file.