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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 キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=yamadashy-repomix-agents-clawhub-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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