What file formats does Repomix support?

Repomix can generate output in XML, Markdown, JSON, and plain text formats, allowing you to choose the best structure for your target AI model's preferences.

Can I package a repository without cloning it locally?

Absolutely. Repomix supports remote repository processing via URL or shorthand GitHub patterns using the --remote flag, saving time and disk space.

Does Repomix handle sensitive information?

Yes, it includes integrated security checks via Secretlint to detect and warn you about API keys, passwords, and private credentials before they are packaged.

How does Repomix help with LLM token limits?

It provides automated token counting for the whole project and a hierarchical tree view, helping you identify and exclude bulky files to fit within context windows.

Repomix Repository Packaging

Name: Repomix Repository Packaging
Author: hongbietcode

byhongbietcode

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生産性とワークフロー

Packs entire code repositories into single, AI-friendly files optimized for Large Language Model analysis.

概要

The Repomix skill enables developers to consolidate complex codebases into a single structured file specifically designed for AI consumption. It automatically handles token counting, security auditing for sensitive credentials, and comment removal to optimize context window usage. Whether analyzing a local project or a remote GitHub repository, Repomix ensures that Claude and other LLMs receive a coherent, high-density representation of the code structure and logic, making it an essential tool for codebase audits, bug hunting, and implementation planning.

主な機能

Hierarchical token counting and tree-view visualization
Remote repository support via URL or GitHub shorthand
Multi-format packaging in XML, Markdown, JSON, or Text
2 GitHub stars
Automated security auditing and secret detection
Smart filtering with .gitignore and custom include patterns

ユースケース

Preparing large codebases for AI-assisted security audits and code reviews
Analyzing third-party libraries and unfamiliar repositories efficiently
Generating high-context documentation snapshots for LLM ingestion

概要

主な機能

Hierarchical token counting and tree-view visualization
Remote repository support via URL or GitHub shorthand
Multi-format packaging in XML, Markdown, JSON, or Text
2 GitHub stars
Automated security auditing and secret detection
Smart filtering with .gitignore and custom include patterns

ユースケース

Preparing large codebases for AI-assisted security audits and code reviews
Analyzing third-party libraries and unfamiliar repositories efficiently
Generating high-context documentation snapshots for LLM ingestion