miles990/self-evolving-agent

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최근 기록된 소스 활동: 2026년 2월 6일 03:45

SkillsMP 카탈로그 업데이트: 2026년 10월 26일 11:37

수집된 skills: 4

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# Self-Evolving Agent [![Version](https://img.shields.io/badge/version-5.11.0-blue)](./skills/SKILL.md) [![License](https://img.shields.io/badge/license-MIT-green)](./LICENSE) [![Architecture](https://img.shields.io/badge/architecture-atomic-purple)](./skills/) > A Claude Code skill that enables autonomous goal achievement through iterative learning and self-improvement. **[Quick Install](#quick-install)** | [Documentation](./skills/SKILL.md) | [Usage Manual](./USAGE.md) | [Examples](./examples/) | [Troubleshooting](./docs/TROUBLESHOOTING.md) ## 使用方式 ```bash /evolve [目標描述] ``` **適用場景：** | 場景 | 說明 | 範例 | |------|------|------| | 🎯 **複雜目標** | 多步驟、跨領域任務 | `/evolve 建立完整的用戶認證系統` | | 🔄 **迭代開發** | 反覆調整直到達標 | `/evolve 優化 API 回應時間降低 50%` | | 🧭 **探索研究** | 方向不明確時 | `/evolve 研究 codebase 架構 --explore` | | 💡 **項目發想** | 從零開始構思 | `/evolve 幫我發想 side project 功能` | | 📝 **制定規格** | 釐清需求 | `/evolve 規劃訂單系統規格` | | 📚 **累積經驗** | 記錄解決方案 | `/evolve 修復 bug 並記錄供未來參考` | **參數：** | 參數 | 說明 | |------|------| | `--explore` | 探索模式 — 允許自主選擇方向 | | `--emergence` | 涌現模式 — 啟用跨領域連結 | | `--autonomous` | 自主模式 — 完全自主創新 | | `--max-iterations N` | 最大迭代次數（預設 10） | | `--from-spec NAME` | 從 spec-workflow 執行 | ## 運作原理 ```mermaid flowchart LR subgraph 初始化 NS[🌟 北極星錨定] PSB[規劃 → 設置 → 建構] GOAL[目標分析<br/>深度訪談] end subgraph 執行循環 PDCA[計畫 → 執行 → 檢核 → 行動] DIR[方向校正] MEM[Git 記憶儲存] end NS --> PSB --> GOAL --> PDCA PDCA --> DIR --> MEM MEM -->|未完成| PDCA MEM -->|完成| DONE[✅ 目標達成] ``` 1. **北極星錨定**：任務開始前建立願景和完成標準，避免後續迷失方向 2. **環境準備**：檢查專案環境、安裝依賴、確認可以開始 3. **目標分析**：透過深度訪談釐清需求，分解成可執行的子任務 4. **PDCA 循環**：反覆執行「計畫 → 執行 → 檢核 → 行動」直到完成 5. **方向校正**：每個里程碑後對照北極星，確保沒有偏離目標 6. **記憶儲存**：將學到的經驗存入 Git，供未來任務參考 > 💡 採用原子化架構，按需載入模組，Token 降低 92%。9 個強制檢查點確保行為穩定。 ## Quick Install **Plugin 版本（推薦）** — 含 Hooks 自動提醒 ```bash # Step 1: 添加 marketplace /plugin marketplace add miles990/self-evolving-agent # Step 2: 安裝 plugin /plugin install evolve@self-evolving-agent ``` **更新到最新版本** ```bash /plugin marketplace update /plugin update evolve@self-evolving-agent ``` **One-line install（傳統 Skill 版本）** ```bash curl -fsSL https://raw.githubusercontent.com/miles990/self-evolving-agent/main/install.sh | bash # Full install with hooks and memory curl -fsSL https://raw.githubusercontent.com/miles990/self-evolving-agent/main/install.sh | bash -s -- --with-hooks --with-memory ``` **Manual install** ```bash git clone https://github.com/miles990/self-evolving-agent.git cp -r self-evolving-agent/skills /path/to/your/project/.claude/skills/evolve ``` ## 核心哲學 > 給定目標，自主迭代直到完成。從失敗中學習，記憶經驗。北極星錨定，避免迷失方向。 - **目標導向**：不是執行指令，而是達成目標 - **迭代改進**：失敗是學習機會，每次嘗試都比上次更好 - **經驗累積**：解決方案存入記憶，相同問題不再重蹈覆轍 ## 模組文檔 | Module | Description | |--------|-------------| | [00-getting-started](./skills/00-getting-started/) | 入門與環境設定 | | [01-core](./skills/01-core/) | 核心流程（PSB + PDCA） | | [02-checkpoints](./skills/02-checkpoints/) | 強制檢查點（護欄） | | [03-memory](./skills/03-memory/) | 記憶系統操作 | | [04-emergence](./skills/04-emergence/) | 涌現機制 | | [05-integration](./skills/05-integration/) | 外部工具整合 | | [06-scaling](./skills/06-scaling/) | 大規模專案優化 | | [99-evolution](./skills/99-evolution/) | 自我進化機制 | ## 相關資源 **Related Projects** | Project | Description | |---------|-------------| | [claude-starter-kit](https://github.com/miles990/claude-starter-kit) | CLI 工具，快速初始化專案（內建此 skill） | | [claude-domain-skills](https://github.com/miles990/claude-domain-skills) | 16 non-technical domain skills | | [claude-software-skills](https://github.com/miles990/claude-software-skills) | Software development skills | **References** - [Reflexion Paper](https://arxiv.org/abs/2303.11366) - [OpenAI Self-Evolving Agents Cookbook](https://cookbook.openai.com/examples/partners/self_evolving_agents/autonomous_agent_retraining) - [Andrew Ng - Agentic Design Patterns](https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-2-reflection/) - [makepad-skills](https://github.com/ZhangHanDong/makepad-skills) - Atomic architecture inspiration --- > 📝 *本專案也是經由 Self-Evolving Agent 迭代開發而成* ## License MIT

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