Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
aia-11-hn-mib avatar

Repomix

  • 5 installs
  • 1 repo stars
  • Updated November 15, 2025
  • aia-11-hn-mib/mib-mockinterviewaibot

repomix is a Claude Code skill that packs entire code repositories into a single AI-friendly file for LLM context using the Repomix tool.

About

This skill uses Repomix to pack an entire code repository into a single file optimized for LLM context. It covers install, output formats, include/exclude filtering, remote-repo packaging, comment removal, and token counting. A developer uses it when feeding a codebase to an LLM for analysis, review, or security audits. It documents command-line flags and common use cases.

  • Packs entire repos into a single AI-friendly file
  • Outputs XML, Markdown, JSON, or plain text with token counts
  • Supports remote repos and include/exclude filtering

Repomix by the numbers

  • 5 all-time installs (skills.sh)
  • Ranked #13,035 of 16,556 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

repomix capabilities & compatibility

Free; Repomix is open source, installed via npm or brew.

Capabilities
codebase packing · token optimization · llm context prep
Works with
github
Use cases
token optimization · code review · research
Pricing
Free
From the docs

What repomix says it does

Repomix packs entire repositories into single, AI-friendly files. Perfect for feeding codebases to LLMs like Claude, ChatGPT, and Gemini.
SKILL.md
Token counting for LLM context management
SKILL.md
npx skills add https://github.com/aia-11-hn-mib/mib-mockinterviewaibot --skill repomix

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs5
repo stars1
Last updatedNovember 15, 2025
Repositoryaia-11-hn-mib/mib-mockinterviewaibot

What it does

Pack a whole codebase into a single AI-friendly file with token counting and filters for LLM context.

Who is it for?

Packaging a codebase into one file for LLM analysis, review, or audit

When should I use this skill?

Creating repository snapshots for LLM context or analyzing unfamiliar codebases

What you get

A single AI-friendly repo file in XML, Markdown, JSON, or plain text.

  • Single AI-friendly repo file
  • Repository snapshot for LLM context

By the numbers

  • 4 output formats (XML, Markdown, JSON, plain text)

Files

SKILL.mdMarkdownGitHub ↗

Repomix Skill

Repomix packs entire repositories into single, AI-friendly files. Perfect for feeding codebases to LLMs like Claude, ChatGPT, and Gemini.

When to Use

Use when:

  • Packaging codebases for AI analysis
  • Creating repository snapshots for LLM context
  • Analyzing third-party libraries
  • Preparing for security audits
  • Generating documentation context
  • Investigating bugs across large codebases
  • Creating AI-friendly code representations

Quick Start

Check Installation

repomix --version

Install

# npm
npm install -g repomix

# Homebrew (macOS/Linux)
brew install repomix

Basic Usage

# Package current directory (generates repomix-output.xml)
repomix

# Specify output format
repomix --style markdown
repomix --style json

# Package remote repository
npx repomix --remote owner/repo

# Custom output with filters
repomix --include "src/**/*.ts" --remove-comments -o output.md

Core Capabilities

Repository Packaging

  • AI-optimized formatting with clear separators
  • Multiple output formats: XML, Markdown, JSON, Plain text
  • Git-aware processing (respects .gitignore)
  • Token counting for LLM context management
  • Security checks for sensitive information

Remote Repository Support

Process remote repositories without cloning:

# Shorthand
npx repomix --remote yamadashy/repomix

# Full URL
npx repomix --remote https://github.com/owner/repo

# Specific commit
npx repomix --remote https://github.com/owner/repo/commit/hash

Comment Removal

Strip comments from supported languages (HTML, CSS, JavaScript, TypeScript, Vue, Svelte, Python, PHP, Ruby, C, C#, Java, Go, Rust, Swift, Kotlin, Dart, Shell, YAML):

repomix --remove-comments

Common Use Cases

Code Review Preparation

# Package feature branch for AI review
repomix --include "src/**/*.ts" --remove-comments -o review.md --style markdown

Security Audit

# Package third-party library
npx repomix --remote vendor/library --style xml -o audit.xml

Documentation Generation

# Package with docs and code
repomix --include "src/**,docs/**,*.md" --style markdown -o context.md

Bug Investigation

# Package specific modules
repomix --include "src/auth/**,src/api/**" -o debug-context.xml

Implementation Planning

# Full codebase context
repomix --remove-comments --copy

Command Line Reference

File Selection

# Include specific patterns
repomix --include "src/**/*.ts,*.md"

# Ignore additional patterns
repomix -i "tests/**,*.test.js"

# Disable .gitignore rules
repomix --no-gitignore

Output Options

# Output format
repomix --style markdown  # or xml, json, plain

# Output file path
repomix -o output.md

# Remove comments
repomix --remove-comments

# Copy to clipboard
repomix --copy

Configuration

# Use custom config file
repomix -c custom-config.json

# Initialize new config
repomix --init  # creates repomix.config.json

Token Management

Repomix automatically counts tokens for individual files, total repository, and per-format output.

Typical LLM context limits:

  • Claude Sonnet 4.5: ~200K tokens
  • GPT-4: ~128K tokens
  • GPT-3.5: ~16K tokens

Security Considerations

Repomix uses Secretlint to detect sensitive data (API keys, passwords, credentials, private keys, AWS secrets).

Best practices: 1. Always review output before sharing 2. Use .repomixignore for sensitive files 3. Enable security checks for unknown codebases 4. Avoid packaging .env files 5. Check for hardcoded credentials

Disable security checks if needed:

repomix --no-security-check

Implementation Workflow

When user requests repository packaging:

1. Assess Requirements

  • Identify target repository (local/remote)
  • Determine output format needed
  • Check for sensitive data concerns

2. Configure Filters

  • Set include patterns for relevant files
  • Add ignore patterns for unnecessary files
  • Enable/disable comment removal

3. Execute Packaging

  • Run repomix with appropriate options
  • Monitor token counts
  • Verify security checks

4. Validate Output

  • Review generated file
  • Confirm no sensitive data
  • Check token limits for target LLM

5. Deliver Context

  • Provide packaged file to user
  • Include token count summary
  • Note any warnings or issues

Reference Documentation

For detailed information, see:

  • Configuration Reference - Config files, include/exclude patterns, output formats, advanced options
  • Usage Patterns - AI analysis workflows, security audit preparation, documentation generation, library evaluation

Additional Resources

  • GitHub: https://github.com/yamadashy/repomix
  • Documentation: https://repomix.com/guide/
  • MCP Server: Available for AI assistant integration

Related skills

FAQ

What output formats does Repomix support?

XML, Markdown, JSON, and plain text.

Can it pack a remote repository?

Yes, using 'npx repomix --remote owner/repo' without cloning.

AI & Agent Buildingllmautomation

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.