Package code repositories into single AI-friendly files with token-aware formatting.
npx skills add https://github.com/vuminhieu/spexor-client --skill repomix-vuminhieu
Please help me install this Agent Skill. Skill: repomix Source: https://github.com/vuminhieu/spexor-client/tree/main/.agent/skills/skills/repomix Command: npx skills add https://github.com/vuminhieu/spexor-client --skill repomix-vuminhieu
Repomix packages entire code repositories into AI-friendly single-file formats, enabling efficient AI consumption and analysis.
Install and run Repomix to package a repository; start with defaults and adjust include/exclude patterns as needed.
High-intent search queries and answers about installing and using this skill.
To package a code repository for AI analysis, you can use Repomix to consolidate your codebase into a single AI-friendly file. This process preserves the file structure and context while applying token-aware formatting to optimize the output for large language models.
AI-friendly repository snapshots support multiple output formats including XML, Markdown, JSON, and plain text. These formats ensure that the packaged code repository retains its structure and context for efficient AI consumption and structured analysis.
Token counting for large codebases works by applying token-aware formatting and AI-optimized separators during the repository packaging process. This ensures the generated single-file snapshot fits within LLM context limits while preserving the necessary code structure.
Yes, you can use include and exclude patterns when creating a repository snapshot. This allows you to selectively package specific files or directories, ensuring the generated AI-friendly output contains only the relevant code for your analysis.
Yes, this approach works for packaging both local and remote repositories. It enables you to generate AI-friendly single-file snapshots for AI-assisted code review, security audits, and documentation generation regardless of where the codebase is hosted.
The best way to prepare a codebase for an AI security audit is to package it into an AI-friendly single file using Repomix. This consolidates the repository with token-aware formatting and preserved structure, enabling the AI to efficiently analyze the entire codebase.
dwmkerrLocate dwmkerr's repositories locally or clone them from GitHub.
levanminhducPackage repositories into AI-friendly single-file representations in XML, Markdown, JSON, or Plain text.
felix-howardPackage entire code repositories into XML, Markdown, JSON, or plain text.
hotriluanPackage code repositories into AI-friendly single-file XML representations.
