When is the best time to use this skill?

Use it when you need to understand how a complex system works across many files, or when you need a comprehensive architectural audit rather than a simple code change.

Does it support external repository links?

Yes. It automatically detects git remotes to generate clickable links to GitHub or Azure DevOps for all cited code references, making it easy to jump from analysis to source.

Can it generate visual diagrams of my code?

Absolutely. It uses Mermaid.js to create architectural maps, sequence diagrams, and state diagrams based on the actual code paths it traces during the research process.

What makes Wiki Researcher different from standard Claude analysis?

Unlike standard chat interactions, Wiki Researcher follows a non-negotiable 5-iteration process that mandates tracing real implementation paths and providing line-level evidence for every claim.

How does it ensure accuracy in large repositories?

It follows a 'depth before breadth' rule, resolving the repository context first and then systematically drilling down into specific modules, dependencies, and integration points.

Wiki Researcher

Name: Wiki Researcher
Author: linehaul-ai

bylinehaul-ai

•

Aprendizaje y Documentación

Conducts iterative, evidence-based deep dives into codebases to uncover architectural patterns and trace complex data flows.

Wiki Researcher is a specialized capability for Claude Code designed for high-fidelity codebase analysis. It moves beyond surface-level summaries by performing five distinct iterations of research—ranging from structural mapping to pattern identification—while enforcing strict evidence standards. Every claim is backed by specific file citations and call chains, utilizing Mermaid diagrams and structured tables to visualize complex system logic. It is the ideal tool for onboarding to new repositories, auditing legacy systems, or documenting intricate cross-file workflows with zero tolerance for shallow analysis.

Características Principales

01Iterative 5-stage research process covering architecture, data flow, integrations, and design patterns.

02Automatic source repository resolution to provide linked citations for GitHub or Azure DevOps.

033 GitHub stars

04Dynamic visualization of system logic using Mermaid architecture, sequence, and state diagrams.

05Confidence-rated findings that clearly distinguish between verified code facts and logical inferences.

06Mandatory evidence-based analysis requiring file paths, function names, and line-level citations.

Casos de Uso

01Onboarding to a complex, multi-file codebase to map components and entry points.

02Performing technical audits to identify architectural anti-patterns and technical debt.

03Tracing specific data transformations through multiple layers of an application for debugging.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add linehaul-ai/linehaulai-claude-marketplace wiki-researcher

For use in Claude.ai and ChatGPT

Download Skill