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graph-research

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Enhance ADLC research with graph-backed insights and task memory.

Software Engineering#code review#task management#dependency analysis#code research#graph analysis
Authorbigeasyfreeman
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enhances ADLC's research capabilities by leveraging graph-backed insights and task memory, providing a comprehensive understanding of the codebase and aiding in efficient task management.

Core Features & Use Cases

  • Graph-Backed Research: Utilizes Graphify for codebase topology, compatibility, and reuse discovery.
  • Task Memory: Employs Beads for dependency-aware decomposition, ready-work selection, and durable agent memory.
  • Use Case: When preparing for a code review, this Skill can help identify related modules, potential compatibility issues, and dark-code hotspots, streamlining the review process.

Quick Start

Run the graph-research skill to generate a comprehensive research report for the current codebase.

Dependency Matrix

Required Modules

graphifybeads

Components

scriptsreferencesassets

💻 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: graph-research
Download link: https://github.com/bigeasyfreeman/adlc/archive/main.zip#graph-research

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