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repomix

Pack and analyze codebases into AI-friendly single files using Repomix. Use when the user wants to explore repositories, analyze code structure, find patterns, check token counts, or prepare codebase context for AI analysis. Supports both local directories and remote GitHub repositories.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=yamadashy-repomix-agents-clawhub-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name repomix version 1.0.0 description Pack and analyze codebases into AI-friendly single files using Repomix. Use when the user wants to explore repositories, analyze code structure, find patterns, check token counts, or prepare codebase context for AI analysis. Supports both local directories and remote GitHub repositories. tags ["code-analysis","repository","codebase","ai-context","code-explorer","token-count","tree-sitter"] author yamadashy metadata {"openclaw":{"emoji":"📦","homepage":"https://github.com/yamadashy/repomix","requires":{"bins":"[Truncated]"},"install":["[Truncated]"]}} Repomix — Codebase Packer & Analyzer Pack entire codebases into a single, AI-friendly file for analysis. Repomix intelligently collects repository files, respects .gitignore , runs security checks, and generates structured output optimized for LLM consumption. When to Use "Analyze this repo" / "Explore this codebase" "What's the structure of facebook/react?" "Find all authentication-related code" "How many tokens is this project?" "Pack this repo for AI analysis" "Show me the main components of vercel/next.js" Quick Reference Pack a Remote Repository npx repomix@latest --remote <owner/repo> --output /tmp/<repo-name>-analysis.xml Always output to a temporary directory ( /tmp on Unix, %TEMP% on Windows) for remote repositories to avoid polluting the user's working directory. Pack a Local Directory npx repomix@latest [directory] --output /tmp/<name>-analysis.xml Key Options Option Description --style <format> Output format: xml (default, recommended), markdown , plain , json --compress Tree-sitter compression (~70% token reduction) — use for large repos --include <patterns> Include only matching patterns (e.g., "src/**/*.ts,**/*.md" ) --ignore <patterns> Additional ignore patterns --output <path> Custom output path (default: repomix-output.xml ) --remote-branch <name> Specific branch, tag, or commit (for remote repos) Workflow Step 1: Pack the Repository Choose the appropriate command based on the target: # Remote repository (always output to /tmp) npx repomix@latest --remote yamadashy/repomix --output /tmp/repomix-analysis.xml # Large remote repo with compression npx repomix@latest --remote facebook/react --compress --output /tmp/react-analysis.xml # Local directory npx repomix@latest ./src --output /tmp/src-analysis.xml # Specific file types only npx repomix@latest --include "**/*.{ts,tsx,js,jsx}" --output /tmp/filtered-analysis.xml Step 2: Check Command Output The command displays: Files processed : Number of files included Total characters : Size of content Total tokens : Estimated AI tokens Output file location : Where the file was saved Note the output file location for subsequent analysis. Step 3: Analyze the Output Structure overview: Search for the file tree section (near the beginning of the output) Check the metrics summary for overall statistics Search for patterns (use the output file path from Step 2): # Find exports and main entry points grep -iE "export.*function|export.*class" <output-file> # Search with context grep -iE -A 5 -B 5 "authentication|auth" <output-file> # Find API endpoints grep -iE "router|route|endpoint|api" <output-file> # Find database models grep -iE "model|schema|database|query" <output-file> Read specific sections using offset/limit for large outputs. Step 4: Report Findings Metrics : Files, tokens, size from command output Structure : Directory layout from file tree analysis Key findings : Based on pattern search results Next steps : Suggestions for deeper exploration Best Practices Use --compress for large repos (>100k lines) to reduce token usage by ~70% Use pattern search first before reading entire output files Use a temporary directory for output ( /tmp on Unix, %TEMP% on Windows) to keep the user's workspace clean Use --include to focus on specific parts of a codebase XML is the default and recommended format — it has clear file boundaries for structured analysis Output Formats Format Best For XML (default) Structured analysis, clear file boundaries Markdown Human-readable documentation Plain Simple grep-friendly output JSON Programmatic/machine analysis Error Handling Command fails : Check error message, verify repository URL/path, check permissions Output too large : Use --compress , narrow scope with --include Network issues (remote): Verify connection, suggest local clone as alternative Pattern not found : Try alternative patterns, check file tree to verify files exist Security Repomix automatically excludes potentially sensitive files (API keys, credentials, .env files) through built-in security checks. Trust its security defaults unless the user explicitly requests otherwise.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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