Best use case
MVP Kanban Board Skill - v0.0.1 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## 📖 描述
Teams using MVP Kanban Board Skill - v0.0.1 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/li-mvp-kanban-complete-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How MVP Kanban Board Skill - v0.0.1 Compares
| Feature / Agent | MVP Kanban Board Skill - v0.0.1 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## 📖 描述
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# MVP Kanban Board Skill - v0.0.1
## 📖 描述
MVP 看板系统 - 完整的任务管理技能,包含 Docker 镜像和完整源代码。
支持任务管理、泳道管理、批量操作、AI 分析和向量搜索。
通过 MCP 协议提供 21 个工具,支持 Web 界面、REST API 和 MCP 工具调用。
## ✨ 功能特性
- ✅ **完整应用** - 包含 Docker 镜像和所有源代码
- ✅ **任务管理** - 增删改查、拖拽移动、双击编辑
- ✅ **泳道管理** - 自定义泳道、颜色、图标
- ✅ **批量操作** - 批量创建/更新/删除任务
- ✅ **AI 分析** - 瓶颈识别、风险预警、建议生成
- ✅ **向量搜索** - 语义级任务搜索
- ✅ **自然语言** - 中文命令解析
- ✅ **Web 界面** - 可视化操作、拖拽交互
- ✅ **数据持久化** - SQLite 数据库
- ✅ **MCP 集成** - 21 个 MCP 工具
## 🚀 快速开始
### 方式 1: 从 ClawHub 安装(推荐)
```bash
clawhub install mvp-kanban
```
### 方式 2: 本地安装
```bash
# 1. 复制 Skill 到 OpenClaw
cp -r mvp-kanban-complete-skill ~/.openclaw/workspace/skills/mvp-kanban
# 2. 进入目录
cd ~/.openclaw/workspace/skills/mvp-kanban
# 3. 构建 Docker 镜像
docker build -t mvp-kanban:latest docker/
# 4. 启动服务
docker-compose up -d
# 5. 访问 Web 界面
# http://localhost:9999
```
### 方式 3: 使用预构建镜像
```bash
# 拉取 Docker 镜像
docker pull your-dockerhub-username/mvp-kanban:latest
# 运行
docker run -d -p 9999:5000 -v kanban-data:/app/data mvp-kanban:latest
```
## 📁 包结构
```
mvp-kanban-complete-skill/
├── SKILL.md # 本文件
├── clawhub.yaml # ClawHub 配置
├── mcp.json # MCP 配置
├── README.md # 快速开始
├── docker/ # Docker 镜像部分
│ ├── Dockerfile
│ ├── docker-compose.yml
│ ├── .dockerignore
│ ├── app.py # Flask 应用
│ ├── database.py # 数据库模块
│ ├── mcp_server.py # MCP Server
│ ├── nlp_parser.py # NLP 解析器
│ └── templates/ # Web 界面
├── src/ # 完整源代码
│ ├── app.py
│ ├── database.py
│ ├── mcp_server.py
│ ├── mcp_client.py
│ ├── nlp_parser.py
│ └── templates/
└── docs/ # 完整文档
├── API.md
├── WEB_UI_GUIDE.md
├── USAGE_METHODS.md
├── QUICK_TEST.md
└── ...
```
## 🛠️ MCP 工具(21 个)
### 任务管理(7 个)
1. `list_projects` - 列出所有项目
2. `get_project_details` - 获取项目详情
3. `add_project` - 添加项目
4. `update_project_status` - 更新状态
5. `update_project_full` - 完整更新
6. `move_project` - 移动项目
7. `delete_project` - 删除项目
### 泳道管理(5 个)
8. `list_lanes` - 列出泳道
9. `add_lane` - 添加泳道
10. `update_lane` - 更新泳道
11. `delete_lane` - 删除泳道
12. `get_lane_details` - 泳道详情
### 批量操作(3 个)
13. `batch_create_projects` - 批量创建
14. `batch_update_projects` - 批量更新
15. `batch_delete_projects` - 批量删除
### AI 功能(4 个)
16. `analyze_board` - AI 看板分析
17. `search_similar_projects` - 向量搜索
18. `nlp_command` - 自然语言命令
19. `llm_search` - 向量搜索
### 辅助功能(2 个)
20. `get_board_metrics` - 获取统计指标
21. `get_project_history` - 变更历史
## ⚙️ 配置
### MCP 配置
安装后自动配置 `~/.openclaw/config/mcp.json`:
```json
{
"mcpServers": {
"kanban": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mvp-kanban:latest",
"python",
"mcp_server.py"
],
"cwd": "/root/.openclaw/workspace/skills/mvp-kanban/docker",
"env": {
"PYTHONPATH": "/app"
}
}
}
}
```
### Docker Compose
```yaml
version: 0.0.1
services:
kanban:
image: mvp-kanban:latest
container_name: mvp-kanban
ports:
- "9999:5000"
volumes:
- kanban-data:/app/data
environment:
- FLASK_ENV=production
restart: unless-stopped
```
## 📖 使用方式
### Web 界面
访问 **http://localhost:9999**
- 点击"➕ 添加任务"创建任务
- 双击任务卡片编辑
- 拖拽任务移动
- 悬停显示操作按钮
### REST API
```bash
# 添加任务
curl -X POST http://localhost:9999/api/projects \
-H "Content-Type: application/json" \
-d '{"name":"任务","lane":"feature","priority":"high"}'
# 更新任务
curl -X PUT http://localhost:9999/api/projects/1 \
-H "Content-Type: application/json" \
-d '{"status":"in_progress"}'
# AI 分析
curl http://localhost:9999/api/llm/analyze
```
### MCP 工具
```python
from mcp import Client
client = Client("kanban")
# 添加任务
await client.call_tool("add_project", {
"name": "安全加固",
"lane": "security",
"priority": "high"
})
# AI 分析
analysis = await client.call_tool("analyze_board")
```
### 自然语言
```bash
curl -X POST http://localhost:9999/api/llm/command \
-H "Content-Type: application/json" \
-d '{"command":"添加一个高优先级安全任务给张三"}'
```
## 📊 系统要求
- Docker 20.10+
- Python 3.12+
- 内存:512MB
- 存储:100MB
## 🏷️ 泳道
默认泳道:
- 🚀 功能开发 (feature)
- 🔒 安全加固 (security)
- ⚙️ DevOps (devops)
- 🐛 Bug 修复 (bugfix)
支持自定义泳道!
## 🎯 使用场景
| 场景 | 推荐方式 |
|------|----------|
| 日常管理 | Web 界面 |
| 开发集成 | REST API |
| AI 自动化 | MCP 工具 |
| 批量导入 | REST API 批量接口 |
| 快速记录 | 自然语言命令 |
## 📝 示例
### CI/CD 集成
```python
# GitHub Actions 发现 bug 自动创建任务
import requests
requests.post("http://localhost:9999/api/projects", json={
"name": f"修复:{bug_title}",
"lane": "bugfix",
"priority": "high",
"assignee": "developer"
})
```
### AI 助手
```python
# AI 理解后自动调用 MCP
command = "添加一个高优先级的安全任务给张三"
await client.call_tool("nlp_command", {"command": command})
```
## 🔧 开发
### 本地开发模式
```bash
cd ~/.openclaw/workspace/skills/mvp-kanban/src
# 安装依赖
pip install -r requirements.txt
# 运行开发服务器
python app.py
```
### 构建 Docker 镜像
```bash
cd ~/.openclaw/workspace/skills/mvp-kanban/docker
# 构建
docker build -t mvp-kanban:latest .
# 测试
docker run -p 9999:5000 mvp-kanban:latest
```
## 🔄 版本
- **Skill 版本**: v0.0.1
- **Docker 镜像**: v0.0.1
- **API 版本**: v0.0.1
## 👥 作者
DevSecOps Team
## 📄 许可证
MIT License
## 🐛 问题反馈
提交 Issue 到:https://github.com/your-username/mvp-kanban/issues
## 🎉 贡献
欢迎提交 Pull Request!
## 📖 更多文档
- [API.md](docs/API.md) - REST API 文档
- [WEB_UI_GUIDE.md](docs/WEB_UI_GUIDE.md) - Web 界面指南
- [USAGE_METHODS.md](docs/USAGE_METHODS.md) - 使用方式对比
- [QUICK_TEST.md](docs/QUICK_TEST.md) - 快速测试指南
---
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