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project management system for Feishu/Lark integration with AI-driven workflow","maintainers":[{"name":"feng-h","email":"huangfeng0127@hotmail.com"}],"readme":"# PDCA with AI — AI 驱动的 PDCA 工作流技能包\n\n<a href=\"https://www.npmjs.com/package/@feng-h/pdca-skill\"><img src=\"https://img.shields.io/npm/v/@feng-h/pdca-skill\" alt=\"npm version\"></a>\n<a href=\"https://www.npmjs.com/package/@feng-h/pdca-skill\"><img src=\"https://img.shields.io/npm/dm/@feng-h/pdca-skill\" alt=\"npm downloads\"></a>\n<a href=\"https://github.com/Feng-H/PDCA-with-AI/blob/main/LICENSE\"><img src=\"https://img.shields.io/npm/l/@feng-h/pdca-skill\" alt=\"License\"></a>\n<a href=\"https://github.com/Feng-H/PDCA-with-AI\"><img src=\"https://img.shields.io/github/stars/Feng-H/PDCA-with-AI?style=social\" alt=\"GitHub stars\"></a>\n\n---\n\n## [中文](#中文) | [English](#english) | [日本語](#日本語)\n\n---\n\n<a name=\"中文\"></a>\n\n## 中文\n\n### ℹ️ 平台说明\n\n**本技能包的平台无关（Platform-Agnostic）设计：** AI Agent 层不绑定任何特定平台。飞书（Feishu/Lark）作为**推荐深度集成后端**，提供 Bitable、Wiki、Calendar 等完整工具链，但非必需。\n\n### 为什么推荐飞书？\n\n飞书后端提供以下能力，可充分发挥 PDCA 工作流潜力：\n\n| API 调用 | 功能 | OpenClaw | Hermes Agent |\n|---------|------|----------|--------------|\n| `feishu-create-doc` | 创建云文档到 Wiki/知识库 | ✅ | ✅ |\n| `feishu-update-doc` | 局部更新文档内容 | ✅ | ✅ |\n| `feishu-bitable` | 多维表格 CRUD (27种字段类型) | ✅ | ✅ |\n| `feishu-calendar` | 日程管理和事件创建 | ✅ | ✅ |\n| `feishu-task` | 任务创建、查询、更新 | ✅ | ✅ |\n| `feishu-sheet` | 电子表格操作 | ✅ | ✅ |\n| `feishu-im-read` | 群聊/私聊历史读取 | ✅ | ✅ |\n| `feishu_ask_user_question` | 交互式卡片（用户选择） | ✅ | ❌ |\n\n> **交互式卡片说明**：OpenClaw 配合 [openclaw-lark](https://github.com/larksuite/openclaw-lark) 插件支持完整的交互式卡片功能（单选/多选/文本输入）。Hermes Agent 暂不支持，需使用文本编号列表作为备选方案。\n\n### 🎯 系统简介\n\n基于 PDCA 循环的 AI 增强型问题解决工作流，**平台无关设计**，推荐配合飞书使用。\n\n### 核心亮点\n\n- **自治巡检 (The Loop)**：AI 自动读取一线人员填写的云文档，汇总进展并同步至 Bitable 看板\n- **质量校验 (Validator)**：在 Plan 阶段执行 **SMART 校验**与**因果逻辑链审查**\n- **即时交互 (Interactive Cards)**：OpenClaw 支持飞书交互式卡片，AI 可发送选项让用户选择（单选/多选/文本输入）\n- **知识库 (Archiving)**：项目结项后，AI 自动提炼成功措施并归档\n- **制造场景优化**：内置设备 OEE 提升、不良率降低等专业模板\n\n### 🚀 快速开始\n\n**前提条件**：已安装支持的 AI Agent 平台\n\n```bash\n# 安装（选择 OpenClaw + Global）\nnpx skills add Feng-H/PDCA-with-AI\n\n# 提示选择时：\n# - Agent: 选择 OpenClaw\n# - Scope: 选择 Global (安装到 ~/.agents/skills/pdca/)\n\n# 更新已安装的 skill\nnpx skills update pdca\n```\n\n**OpenClaw 飞书插件**：\n```bash\n# 安装官方飞书插件（支持交互式卡片）\nnpm install -g @openclaw/plugin-lark\n```\n\n### 常用指令\n\n| 指令 | 说明 |\n|------|------|\n| `new` | 启动新项目 |\n| `ongoing` | 查看活跃项目看板 |\n| `achieve` | 检索历史成功案例 |\n\n---\n\n<a name=\"english\"></a>\n\n## English\n\n### ℹ️ Platform Notice\n\n**This skill package uses a platform-agnostic design.** The AI Agent layer is not tied to any specific platform. Feishu/Lark is the **recommended backend** for deep integration (Bitable, Wiki, Calendar, etc.), but is not required.\n\n### Why Feishu?\n\nThe Feishu backend provides the following capabilities for full PDCA workflow support:\n\n| API Call | Function | OpenClaw + openclaw-lark | Hermes Agent |\n|---------|----------|-------------------------|--------------|\n| `feishu-create-doc` | Create docs in Wiki/Knowledge Base | ✅ | ✅ |\n| `feishu-update-doc` | Partial document updates | ✅ | ✅ |\n| `feishu-bitable` | Bitable CRUD (27 field types) | ✅ | ✅ |\n| `feishu-calendar` | Calendar & event management | ✅ | ✅ |\n| `feishu-task` | Task creation, query, update | ✅ | ✅ |\n| `feishu-sheet` | Spreadsheet operations | ✅ | ✅ |\n| `feishu-im-read` | Group/private chat history | ✅ | ✅ |\n| `feishu_ask_user_question` | Interactive cards (user selection) | ✅ | ❌ |\n\n> **Interactive Cards**: OpenClaw with [openclaw-lark](https://github.com/larksuite/openclaw-lark) plugin supports full interactive card features (single/multi-select, text input). Hermes Agent currently uses text numbered lists as fallback.\n\n### 🎯 Overview\n\nAI-enhanced problem-solving workflow based on the PDCA cycle, with **platform-agnostic design**. Feishu/Lark recommended as the integration backend.\n\n### Key Features\n\n- **Autonomous Inspection (The Loop)**: AI automatically reads cloud documents, summarizes progress, and syncs to Bitable dashboards\n- **Quality Validation**: SMART verification and causal logic chain review in Plan phase\n- **Interactive Cards**: OpenClaw supports Feishu interactive cards for user selections (single/multi-select, text input)\n- **Knowledge Archiving**: AI extracts successful measures for future reuse\n- **Manufacturing Optimization**: Built-in templates for OEE improvement, defect rate reduction, etc.\n\n### 🚀 Quick Start\n\n**Prerequisite**: A supported AI Agent platform installed\n\n```bash\n# Install via skills.sh\nnpx skills add Feng-H/PDCA-with-AI --agent skills\n\n# Or using Gemini CLI\ngemini skills install https://github.com/Feng-H/PDCA-with-AI.git\n```\n\n**OpenClaw Lark Plugin**:\n```bash\n# Install official Lark plugin (supports interactive cards)\nnpm install -g @openclaw/plugin-lark\n```\n\n### Common Commands\n\n| Command | Description |\n|---------|-------------|\n| `new` | Start a new project |\n| `ongoing` | View active project dashboard |\n| `achieve` | Search historical success cases |\n\n---\n\n<a name=\"日本語\"></a>\n\n## 日本語\n\n### ℹ️ プラットフォームについて\n\n**このスキルパッケージはプラットフォームに依存しない設計です。** AI Agent レイヤーは特定のプラットフォームに結びついていません。Feishu/Lark は**推奨統合バックエンド**として Bitable、Wiki、Calendar などの完全なツールチェーンを提供しますが、必須ではありません。\n\n### なぜ Feishu なのか？\n\nFeishu バックエンドは、PDCA ワークフローを完全にサポートするための以下機能を提供します：\n\n| API 呼び出し | 機能 | OpenClaw + openclaw-lark | Hermes Agent |\n|-------------|------|-------------------------|--------------|\n| `feishu-create-doc` | Wiki/ナレッジベースにドキュメント作成 | ✅ | ✅ |\n| `feishu-update-doc` | ドキュメントの部分更新 | ✅ | ✅ |\n| `feishu-bitable` | Bitable CRUD（27種のフィールドタイプ） | ✅ | ✅ |\n| `feishu-calendar` | カレンダーとイベント管理 | ✅ | ✅ |\n| `feishu-task` | タスク作成、照会、更新 | ✅ | ✅ |\n| `feishu-sheet` | スプレッドシート操作 | ✅ | ✅ |\n| `feishu-im-read` | グループ/プライベートチャット履歴 | ✅ | ✅ |\n| `feishu_ask_user_question` | インタラクティブカード（ユーザー選択） | ✅ | ❌ |\n\n> **インタラクティブカード**: OpenClaw と [openclaw-lark](https://github.com/larksuite/openclaw-lark) プラグインの組み合わせで、完全なインタラクティブカード機能（単一/複数選択、テキスト入力）をサポートします。Hermes Agent は現在、テキスト番号リストを代替手段として使用します。\n\n### 🎯 概要\n\nPDCAサイクルに基づく AI 強化型問題解決ワークフロー、**プラットフォームに依存しない設計**。Feishu/Lark が統合バックエンドとして推奨されます。\n\n### 主な機能\n\n- **自律検査（The Loop）**：AI が自動的にクラウドドキュメントを読み取り、進捗を要約して Bitable ダッシュボードに同期\n- **品質検証**：Plan フェーズでの SMART 検証と因果ロジックチェーンレビュー\n- **インタラクティブカード**：OpenClaw は Feishu インタラクティブカードをサポートし、ユーザー選択（単一/複数選択、テキスト入力）が可能\n- **知識アーカイブ**：AI が成功した施策を抽出して将来のために保存\n- **製造業向け最適化**：OEE 向上、不良率低減などの専門テンプレートを内蔵\n\n### 🚀 クイックスタート\n\n**前提条件**：サポートされている AI Agent プラットフォームがインストールされていること\n\n```bash\n# skills.sh 経由でインストール\nnpx skills add Feng-H/PDCA-with-AI --agent skills\n\n# または Gemini CLI を使用\ngemini skills install https://github.com/Feng-H/PDCA-with-AI.git\n```\n\n**OpenClaw Lark プラグイン**：\n```bash\n# 公式 Lark プラグインをインストール（インタラクティブカードをサポート）\nnpm install -g @openclaw/plugin-lark\n```\n\n### 一般コマンド\n\n| コマンド | 説明 |\n|---------|-------------|\n| `new` | 新規プロジェクトを開始 |\n| `ongoing` | アクティブなプロジェクトダッシュボードを表示 |\n| `achieve` | 過去の成功事例を検索 |\n\n---\n\n## 📁 Project Structure\n\n```\nPDCA-with-AI/\n├── SKILL.md            # Skill entry point\n├── .claude/skills/     # Reference documentation\n├── assets/             # Documentation and tests\n│   ├── references/     # Feishu API integration guides + MECE frameworks\n│   ├── tests/          # Quality validation\n│   └── templates/      # Project templates\n├── system/             # Core engine layer\n│   ├── Agent/          # Plan/Do/Check/Act Agent prompts\n│   ├── 规范/            # SMART validation modules\n│   ├── 工具/            # Bitable config, workflows\n│   └── 模板/            # System templates\n├── bin/                # npx executable\n└── README.md\n```\n\n## 📚 Documentation\n\n- [飞书 API 集成指南](assets/references/feishu-integration.md) - Complete Feishu/Lark API Integration Guide\n- [飞书交互指南](assets/references/feishu-interaction.md) - Interactive Cards & User Interaction Guide\n- [OpenClaw 项目](https://github.com/open-claw/open-claw) - OpenClaw Plugin\n- [openclaw-lark 插件](https://github.com/larksuite/openclaw-lark) - Official Lark Plugin (supports `feishu_ask_user_question`)\n- [质量标准](assets/tests/) - Quality Standards & Testing\n\n## 📄 License\n\n[MIT](LICENSE)\n\n---\n\n**Platform-Agnostic PDCA Skill** / **平台无关的 PDCA 技能** / **プラットフォーム非依存の PDCA スキル**\n","readmeFilename":"README.md"}