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code packing & extraction (anatomize)

Community

Bundle code for AI review, efficiently.

Software Engineering#code review#code analysis#python#llm#bundle#skeleton#pack
AuthorBradSegal
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the process of preparing codebases for review by AI models or human collaborators, ensuring that the output is compact, deterministic, and easy to process.

Core Features & Use Cases

  • Code Bundling: Create single-file artifacts (repomix-style) of a repository or specific slices.
  • Token Efficiency: Generate token-efficient representations using hybrid modes or compression.
  • Dependency Slicing: Extract code based on import closures or symbol references.
  • Use Case: Prepare a specific microservice's codebase, including its direct dependencies, into a single Markdown file for an AI to review for potential bugs or suggest improvements.

Quick Start

Use anatomize to pack the current directory into a markdown file named codebase.md.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: code packing & extraction (anatomize)
Download link: https://github.com/BradSegal/anatomize/archive/main.zip#code-packing-extraction-anatomize

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