tkm:pack-codebase

Convert entire code repositories into XML, Markdown, plain text, or JSON.

Updated May 13, 2026
One-click install
npx skills add https://github.com/khapn-2933/agentic-coding-hands-on --skill tkm-pack-codebase
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tkm:pack-codebase
Source: https://github.com/khapn-2933/agentic-coding-hands-on/tree/main/.claude/skills/pack-codebase
Command: npx skills add https://github.com/khapn-2933/agentic-coding-hands-on --skill tkm-pack-codebase

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires repomix, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of packing entire repositories into AI-friendly files, facilitating codebase snapshots, security audits, and in-depth analysis.

Core Features & Use Cases

  • Repository Packaging: Converts entire repositories into XML, Markdown, plain text, or JSON formats for AI analysis.
  • Codebase Snapshots: Create a snapshot of the codebase for historical comparison or audit purposes.
  • Security Audits: Package third-party libraries for security analysis, identifying potential vulnerabilities.
  • Use Case: When preparing a codebase for AI-driven code review or analysis, you can use this Skill to package the repository and send it to an AI for review.

Quick Start

Run the command repomix --remote owner/repo to package the repository 'owner/repo' and send it for analysis.

Frequently Asked Questions about tkm:pack-codebase

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I package a code repository for AI analysis?

Yes, you can package remote repositories for security audits by running the command `repomix --remote owner/repo`. This fetches the remote codebase and packs it into an AI-friendly format to identify potential vulnerabilities in third-party libraries.

Do I need Python and Repomix CLI to pack a codebase into Markdown?

Yes, converting your codebase into Markdown or other AI-friendly formats requires both Python and the Repomix CLI installed. These dependencies are necessary to execute the repository packaging and apply file exclusion options.

Can I exclude specific files when creating a codebase snapshot?

Packaging a codebase into a single AI-friendly file consolidates all relevant code into XML, Markdown, or JSON formats. This unified structure enables AI models to perform comprehensive security audits and in-depth code review without losing repository context.

What is the best way to prepare third-party libraries for an AI code review?

The best way to prepare third-party libraries for an AI code review is to package them into AI-friendly file formats using repository packaging tools. This creates a consolidated codebase snapshot that AI models can analyze for vulnerabilities and code quality.