Codebase Deep Researcher

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Conducts multi-turn, iterative deep research into codebases to uncover complex architectural patterns and data flows with evidence-backed analysis.

Wiki Researcher is a rigorous diagnostic tool designed for developers who need more than a superficial summary of their source code. It performs a structured five-step iterative analysis—covering architectural structure, data flow, integration dependencies, design patterns, and final synthesis. By resolving source repository contexts and enforcing a strict policy against 'vibes-based' analysis, it ensures every claim is grounded in actual code paths. The skill automatically generates Mermaid diagrams and verified file citations, making it an essential companion for onboarding to large projects, auditing legacy systems, or investigating complex bugs across distributed files.

Características Principales

01Automatic source repository resolution for hyperlinked GitHub/DevOps file citations.
02Evidence-based grounding that explicitly distinguishes between verified facts and inferences.
03Mandatory Mermaid diagram generation for visualizing architecture and sequence flows.
04Iterative 5-stage deep analysis covering structure, data flow, dependencies, patterns, and synthesis.
05Comprehensive technical debt identification and design pattern cataloging.
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Casos de Uso

01Tracing complex data flows and state management across multiple files to identify bottlenecks.
02Onboarding to a large, unfamiliar codebase to quickly understand system-wide interactions.
03Performing architectural audits to map dependencies and identify technical debt or anti-patterns.