repomix

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

Quick Summary

Goal: Package code repositories into single AI-friendly files using Repomix for LLM analysis.

Workflow:

1. Assess — Identify target repo (local/remote), output format, sensitivity concerns
2. Configure — Set include/ignore patterns, comment removal, output style
3. Execute — Run repomix with options, monitor token counts
4. Validate — Review output for sensitive data, check token limits for target LLM

Key Rules:

• Always review output before sharing (security check for API keys, credentials)
• Use --include patterns to stay within LLM context limits
• Default output is XML; use --style markdown for readable output
• Use --token-count-tree to identify token-heavy files before packaging