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ls-casestudy

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Turn code into evidence-first patterns.

Software Engineering#architecture#codebase analysis#pattern extraction#case study#dependency mapping#file line citations#API surface
Authorahostbr
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It helps you reverse-engineer an unfamiliar codebase or system into a trustworthy, evidence-backed case study so you can reuse its architecture as a reusable pattern reference.

Core Features & Use Cases

  • Evidence-first documentation: Produces claims where every statement is supported by a file path and line number.
  • Reverse-engineering via “polymathic scouts”: Maps structure, scans API surfaces, and (when applicable) traces runtime flow.
  • Pattern extraction for future work: Synthesizes findings into categories and design notes to guide adaptation rather than performing a bug hunt.

Quick Start

Ask the AI to generate an evidence-first case study for the repository at a given local directory path or repo URL, including file:line citations for every claim.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ls-casestudy
Download link: https://github.com/ahostbr/liteharness/archive/main.zip#ls-casestudy

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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