Pack codebases into token-aware single files for LLM context.
npx skills add https://github.com/Castrozan/.dotfiles --skill repomix-castrozan
Please help me install this Agent Skill. Skill: repomix Source: https://github.com/Castrozan/.dotfiles/tree/main/agents/skills/repomix Command: npx skills add https://github.com/Castrozan/.dotfiles --skill repomix-castrozan
Repomix eliminates the fragmentation of large codebases by consolidating an entire repository into a single, AI-friendly document suitable for context sharing with LLMs and coding agents.
Use the repomix tool to pack the current directory, or specify a path, enabling rapid generation of a single-file repository context.
High-intent search queries and answers about installing and using this skill.
You can pack a codebase for LLM context by running npx repomix, which consolidates the repository into a single, AI-optimized document. The output includes a file tree, token counts, and full file contents for analysis.
Providing remote repository context to an AI agent is done using the --remote flag. This fetches and consolidates the remote codebase directly into a structured, token-aware document suitable for comprehensive AI analysis.
Yes, you need Node.js and npm installed because the repository packaging process runs via the npx repomix command. This environment is required to parse the codebase and generate the structured output file with token counts.
Yes, you can exclude specific files when generating a token-aware document by using the --exclude flag. You can also use --include to specify target paths, ensuring the repository context only contains relevant code.
You need single-file repository packaging for migrations and onboarding when you must provide an LLM with comprehensive project context. It eliminates codebase fragmentation by producing a structured document with full file contents and token counts.
Repomix supports custom output handling for local directories via the --output flag. This allows you to define the destination of the generated structured document containing the file tree and token counts for AI-assisted analysis.
yamadashyPack repository data with Repomix to generate XML analysis outputs.
Junior-Frontend-devPackage local or remote repositories into single-file XML, Markdown, JSON, or plain-text outputs.
ValueMediaGenerate or update AGENTS.md onboarding documentation for AI coding agents.
alex-tgkPackage entire repositories into single AI-friendly files with token counting.
