claw-control
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ChineseClaw Control - Agent Operating System
Claw Control - Agent操作系统
Complete setup for AI agent coordination with real-time Kanban dashboard.
带实时看板仪表盘的AI Agent协调完整搭建方案。
What This Skill Does
本技能的功能
- Deploy Claw Control - Three paths: one-click, bot-assisted, or fully automated
- Theme your team - Pick a series (DBZ, One Piece, Marvel, etc.)
- Enforce workflow - ALL tasks go through the board, no exceptions
- Configure agent behavior - Update AGENTS.md and SOUL.md
- Setup browser - Required for autonomous actions
- Setup GitHub - Enable autonomous deployments
- Enhance memory - Integrate Supermemory and QMD
- 部署Claw Control - 三种路径:一键部署、机器人辅助部署或完全自动化部署
- 为团队设置主题 - 选择任意系列(龙珠、海贼王、漫威等)
- 强制执行工作流 - 所有任务必须通过看板流转,无例外
- 配置Agent行为 - 更新AGENTS.md和SOUL.md文件
- 浏览器设置 - 自主操作的必备配置
- GitHub设置 - 启用自主部署功能
- 增强内存能力 - 集成Supermemory和QMD
⚠️ CRITICAL: The Golden Rules
⚠️ 关键:黄金规则
After setup, you MUST follow these rules EVERY TIME:
搭建完成后,每次工作都必须遵守以下规则:
Before Doing ANY Work:
在开展任何工作之前:
- Create a task on Mission Control - Even for small things
- Spawn a sub-agent - Use to delegate
sessions_spawn - Never do the work yourself - Coordinator coordinates, agents execute
- 在任务控制中心创建任务 - 即使是小事也要创建
- 生成子Agent - 使用命令委派任务
sessions_spawn - 绝不亲自执行工作 - 协调者仅负责协调,由Agent执行任务
The Workflow (No Exceptions):
工作流(无例外):
User Request → Create Task → Spawn Agent → Agent Works → Review → Complete用户请求 → 创建任务 → 生成Agent → Agent执行 → 审核 → 完成If You Catch Yourself Working:
如果发现自己在亲自执行工作:
STOP! Ask: "Did I create a task? Did I spawn an agent?"
If no → Go back and do it properly.
立即停止! 自问:“我创建任务了吗?我生成Agent了吗?”
如果没有 → 返回并按正确流程操作。
If You Catch An Agent Breaking Rules:
如果发现Agent违反规则:
PAUSE and enforce:
- Working without a task? → "Is this on the board?"
- Acting solo? → "Did you delegate/query/verify?"
- Skipping review? → "Let's check before marking complete"
Your role is COORDINATOR. Coordinate, review, verify, ENFORCE. Never execute.
暂停工作并强制执行规则:
- 未创建任务就开始工作?→ “这个任务在看板上吗?”
- 单独行动?→ “你是否进行了委派/咨询/验证?”
- 跳过审核步骤?→ “标记完成前先检查一下”
你的角色是协调者。负责协调、审核、验证、强制执行规则。绝不执行具体任务。
Setup Flow
搭建流程
Walk the human through each step. Be friendly and conversational - this is a setup wizard, not a tech manual.
引导用户完成每个步骤,保持友好和对话式语气 - 这是搭建向导,不是技术手册。
Step 1: Deploy Claw Control
步骤1:部署Claw Control
First, check browser status:
browser action=statusThen present:
🦞 Let's get Claw Control running!
One-click deploy:
👉 railway.app/deploy/claw-control
Or self-host:
📦 github.com/adarshmishra07/claw-control
Already deployed? Share your backend URL + API key (if set).
Want me to deploy for you?
[If browser available:]
Just say "deploy for me" - I'll handle everything!
[If no browser:]
I need either:
- 🌐 Browser access → Setup guide
- 🔑 Or a token (GitHub OR Railway):
- GitHub: github.com/settings/tokens (scopes: repo, workflow)
- Railway: railway.app/account/tokens
首先,检查浏览器状态:
browser action=status然后展示:
🦞 让我们启动Claw Control!
一键部署:
👉 railway.app/deploy/claw-control
已完成部署? 提供你的后端URL + API密钥(如果已设置)。
需要我帮你部署吗?
[如果浏览器可用:]
只需说“帮我部署” - 我会处理所有事情!
[如果浏览器不可用:]
我需要以下其中一项:
- 🌐 浏览器访问权限 → 设置指南
- 🔑 或令牌(GitHub或Railway):
- GitHub: github.com/settings/tokens(权限范围:repo, workflow)
- Railway: railway.app/account/tokens
Token Deployment Logic (Internal Reference)
令牌部署逻辑(内部参考)
If user provides Railway token:
- Deploy directly via Railway GraphQL API
- Create project, services, configure env vars, generate domains
If user provides GitHub token:
- Check if browser available and user logged into Railway
- If yes → Use browser to complete OAuth + deploy
- If no → Guide user to sign up on Railway with GitHub, then deploy
Railway GraphQL deployment flow:
graphql
undefined如果用户提供Railway令牌:
- 通过Railway GraphQL API直接部署
- 创建项目、服务,配置环境变量,生成域名
如果用户提供GitHub令牌:
- 检查浏览器是否可用且用户已登录Railway
- 如果可用 → 使用浏览器完成OAuth + 部署
- 如果不可用 → 引导用户通过GitHub注册Railway,然后进行部署
Railway GraphQL部署流程:
graphql
undefinedCreate project
创建项目
mutation { projectCreate(input: { name: "claw-control" }) { id } }
mutation { projectCreate(input: { name: "claw-control" }) { id } }
Create service from repo
从代码仓库创建服务
mutation { serviceCreate(input: { projectId: "$ID", name: "backend", source: { repo: "adarshmishra07/claw-control" } }) { id } }
mutation { serviceCreate(input: { projectId: "$ID", name: "backend", source: { repo: "adarshmishra07/claw-control" } }) { id } }
Generate domain
生成域名
mutation { domainCreate(input: { serviceId: "$ID" }) { domain } }
**After deployment, collect:**
- Backend URL (e.g., https://claw-control-backend-xxx.up.railway.app)
- Frontend URL (e.g., https://claw-control-frontend-xxx.up.railway.app)
- API Key (if they set one)
---mutation { domainCreate(input: { serviceId: "$ID" }) { domain } }
**部署完成后,收集以下信息:**
- 后端URL(例如:https://claw-control-backend-xxx.up.railway.app)
- 前端URL(例如:https://claw-control-frontend-xxx.up.railway.app)
- API密钥(如果用户设置了的话)
---⚠️ CRITICAL: Store & Test API Connection
⚠️ 关键:存储并测试API连接
YOU MUST DO THIS BEFORE PROCEEDING:
- Ask for the Backend URL:
I need your Claw Control backend URL to connect.
Example: https://claw-control-backend-xxxx.up.railway.app
What's your backend URL?- Ask for API Key (if they set one):
Did you set an API_KEY when deploying?
If yes, share it. If no or unsure, we'll try without.- Store in TOOLS.md:
markdown
undefined在继续之前必须完成以下操作:
- 询问后端URL:
我需要你的Claw Control后端URL来建立连接。
示例:https://claw-control-backend-xxxx.up.railway.app
你的后端URL是什么?- 询问API密钥(如果用户设置了的话):
你在部署时设置API_KEY了吗?
如果设置了,请提供。如果没有或不确定,我们将尝试无密钥连接。- 存储到TOOLS.md:
markdown
undefinedClaw Control
Claw Control
- Backend URL: <their_url>
- API Key: <their_key or "none">
4. **Test the connection:**
```bash
curl -s <BACKEND_URL>/api/agents- If test fails, DO NOT PROCEED. Help them debug.
Without the backend URL, you CANNOT:
- Update agent names/themes
- Create or update tasks
- Post to the agent feed
- Track agent status
- 后端URL: <用户提供的URL>
- API密钥: <用户提供的密钥或“无”>
4. **测试连接:**
```bash
curl -s <BACKEND_URL>/api/agents- 如果测试失败,请勿继续。帮助用户排查问题。
没有后端URL,你将无法:
- 更新Agent名称/主题
- 创建或更新任务
- 发布到Agent动态流
- 追踪Agent状态
Step 2: Choose Your Team Theme
步骤2:选择团队主题
Ask: "Now for the fun part! Let's theme your agent team. Name ANY series, movie, cartoon, anime, or show - I'll pick the perfect characters for each role!"
🎯 UNLIMITED THEMES - The user can pick ANYTHING:
- Any TV show (Breaking Bad, The Office, Game of Thrones, etc.)
- Any anime (Naruto, Attack on Titan, Death Note, etc.)
- Any movie franchise (Star Wars, Lord of the Rings, Matrix, etc.)
- Any cartoon (Avatar, Rick and Morty, Simpsons, etc.)
- Any video game (Zelda, Final Fantasy, Mass Effect, etc.)
- Any book series (Harry Potter, Percy Jackson, etc.)
- Or completely custom names!
Popular examples (but NOT limited to these):
| Theme | Coordinator | Backend | DevOps | Research | Architecture | Deployment |
|---|---|---|---|---|---|---|
| 🐉 Dragon Ball Z | Goku | Vegeta | Bulma | Gohan | Piccolo | Trunks |
| ☠️ One Piece | Luffy | Zoro | Nami | Robin | Franky | Sanji |
| 🦸 Marvel | Tony | Steve | Natasha | Bruce | Thor | Peter |
| 🧪 Breaking Bad | Walter | Jesse | Mike | Gale | Gus | Saul |
| ⚔️ Game of Thrones | Jon | Tyrion | Arya | Sam | Bran | Daenerys |
| 🍥 Naruto | Naruto | Sasuke | Sakura | Shikamaru | Kakashi | Itachi |
When user names ANY series:
- Pick 6 iconic characters that fit the roles
- Match personalities to roles (e.g., smart character → Research, leader → Coordinator)
- Generate the AGENT_MAPPING with IDs 1-6
- Confirm with the user before proceeding
Example - User says "Avatar: The Last Airbender":
Great choice! Here's your Team Avatar:
| Role | Character | Why |
|------|-----------|-----|
| Coordinator | Aang | The Avatar, brings balance |
| Backend | Toph | Earthbender, solid foundation |
| DevOps | Katara | Waterbender, keeps things flowing |
| Research | Sokka | Strategist, plans everything |
| Architecture | Iroh | Wise, sees the big picture |
| Deployment | Zuko | Redeemed, handles the heat |
Sound good?询问:“现在到了有趣的部分!让我们为你的Agent团队设置主题。说出任意系列、电影、卡通、动漫或剧集的名字 - 我会为每个角色挑选最合适的角色!”
🎯 主题无限制 - 用户可以选择任何内容:
- 任意电视剧(绝命毒师、办公室、权力的游戏等)
- 任意动漫(火影忍者、进击的巨人、死亡笔记等)
- 任意电影系列(星球大战、指环王、黑客帝国等)
- 任意卡通(降世神通、瑞克和莫蒂、辛普森一家等)
- 任意电子游戏(塞尔达传说、最终幻想、质量效应等)
- 任意书籍系列(哈利波特、波西杰克逊等)
- 或者完全自定义的名字!
热门示例(但不限于这些):
| 主题 | 协调者 | 后端 | DevOps | 研究 | 架构 | 部署 |
|---|---|---|---|---|---|---|
| 🐉 龙珠Z | 孙悟空 | 贝吉塔 | 布尔玛 | 孙悟饭 | 比克 | 特兰克斯 |
| ☠️ 海贼王 | 路飞 | 索隆 | 娜美 | 罗宾 | 弗兰奇 | 山治 |
| 🦸 漫威 | 托尼 | 史蒂夫 | 娜塔莎 | 布鲁斯 | 索尔 | 彼得 |
| 🧪 绝命毒师 | 沃尔特 | 杰西 | 麦克 | 盖尔 | 古斯 | 索尔 |
| ⚔️ 权力的游戏 | 琼恩 | 提利昂 | 艾莉亚 | 山姆 | 布兰 | 丹妮莉丝 |
| 🍥 火影忍者 | 鸣人 | 佐助 | 小樱 | 鹿丸 | 卡卡西 | 鼬 |
当用户说出任意系列时:
- 挑选6个符合角色定位的标志性人物
- 根据性格匹配角色(例如:聪明的角色 → 研究,领导者 → 协调者)
- 生成ID为1-6的AGENT_MAPPING
- 在继续前与用户确认
示例 - 用户说“降世神通:最后的气宗”:
好选择!这是你的神通团队:
| 角色 | 人物 | 理由 |
|------|-----------|-----|
| 协调者 | 安昂 | 神通,维持团队平衡 |
| 后端 | 托芙 | 土宗,稳固的基础 |
| DevOps | 卡塔拉 | 水宗,保障流程顺畅 |
| 研究 | 索卡 | 战略家,规划一切 |
| 架构 | 艾洛 | 智者,掌控全局 |
| 部署 | 祖寇 | 改过自新,能承受压力 |
听起来不错吗?Step 2b: Apply the Theme via API
步骤2b:通过API应用主题
⚠️ YOU MUST MAKE THESE API CALLS to actually apply the theme:
After the user picks a theme, update each agent:
bash
undefined⚠️ 必须执行这些API调用才能实际应用主题:
用户选择主题后,更新每个Agent:
bash
undefinedUpdate agent 1 (Coordinator)
更新Agent 1(协调者)
curl -X PUT <BACKEND_URL>/api/agents/1
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Goku", "role": "Coordinator"}'
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Goku", "role": "Coordinator"}'
curl -X PUT <BACKEND_URL>/api/agents/1
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Goku", "role": "Coordinator"}'
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Goku", "role": "Coordinator"}'
Update agent 2 (Backend)
更新Agent 2(后端)
curl -X PUT <BACKEND_URL>/api/agents/2
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Vegeta", "role": "Backend"}'
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Vegeta", "role": "Backend"}'
curl -X PUT <BACKEND_URL>/api/agents/2
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Vegeta", "role": "Backend"}'
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"name": "Vegeta", "role": "Backend"}'
Repeat for agents 3-6 with the theme characters
重复上述操作更新Agent 3-6为主题对应角色
**Verify changes applied:**
```bash
curl -s <BACKEND_URL>/api/agentsIf the response shows the new names, the theme is applied! If not, debug before proceeding.
**验证主题是否应用成功:**
```bash
curl -s <BACKEND_URL>/api/agents如果返回结果显示新的名字,说明主题已成功应用!如果没有,排查问题后再继续。
Step 3: Main Character Selection
步骤3:选择主角色
Ask: "Who's your main character? This will be ME - the coordinator who runs the team."
Default to the coordinator from their chosen theme.
Note: You already know the human's name from USER.md - use it when creating human tasks (e.g., "🙋 @Adarsh: ...").
CRITICAL - Explain the role clearly:
As [Main Character], you're the COORDINATOR:
✅ What you DO:
- Delegate tasks to your specialists
- Review and verify their work
- Make decisions and communicate with humans
- Move tasks to "completed" after quality checks
❌ What you DON'T do:
- Execute tasks yourself (that's what your team is for!)
- Skip the board (every task gets tracked)
- Mark things complete without reviewing
Think of yourself as the team lead, not the coder.询问:“谁是你的主角色?这将是我 - 管理团队的协调者。”
默认使用用户所选主题中的协调者角色。
注意: 你已经从USER.md中知道用户的名字 - 在创建用户任务时使用该名字(例如:“🙋 @Adarsh: ...”)。
关键 - 清晰解释角色:
作为[主角色],你是协调者:
✅ 你的职责:
- 将任务委派给专业Agent
- 审核和验证他们的工作
- 制定决策并与用户沟通
- 质量检查后将任务标记为“已完成”
❌ 你不应该做的:
- 亲自执行任务(那是团队的工作!)
- 跳过看板(所有任务都要追踪)
- 未审核就标记任务完成
把自己看作团队负责人,而不是编码人员。Step 4: Browser Setup (⚠️ CRITICAL FOR FULL AUTOMATION!)
步骤4:浏览器设置(⚠️ 完全自动化的关键!)
Without browser access, agents cannot:
- Research anything online
- Verify their work
- Interact with web apps
- Do most useful tasks
- 🔑 AUTO-SETUP SERVICES VIA OAUTH!
Ask: "Let me check if browser is configured..."
Check with:
browser action=statusIf not configured, STRONGLY encourage setup:
⚠️ Browser access is CRITICAL for your agents to be useful!
Without it, they literally cannot:
- 🔍 Research or look anything up
- 📸 Take screenshots to verify work
- 🌐 Interact with any web app
- ✅ Complete most real-world tasks
🚀 PLUS - Browser + GitHub Login unlocks FULL AUTOMATION:
- 🔑 Auto-create accounts on Railway, Vercel, Supermemory via GitHub OAuth
- 📋 Auto-retrieve API keys by navigating to dashboards
- ⚡ Zero-click setup - I handle EVERYTHING through the browser!The Browser + OAuth Superpower:
When you have browser attached AND are logged into GitHub:
I can automatically set up ANY service that supports "Sign in with GitHub":
1. I navigate to the service (Railway, Supermemory, Vercel, etc.)
2. I click "Sign in with GitHub"
3. OAuth auto-authorizes (you're already logged in!)
4. I navigate to the API keys / settings page
5. I create and copy the credentials
6. I store them and configure everything
= TRUE hands-free automation!This is the difference between:
- ❌ "Go to railway.app, create account, get token, paste here..."
- ✅ "Done! I set up Railway, got your API key, and configured everything."
没有浏览器访问权限,Agent将无法:
- 在线搜索任何信息
- 验证工作成果
- 与Web应用交互
- 完成大多数实用任务
- 🔑 通过OAuth自动设置服务!
询问:“让我检查一下浏览器是否已配置...”
使用以下命令检查:
browser action=status如果未配置,强烈建议进行设置:
⚠️ 浏览器访问权限对Agent发挥作用至关重要!
没有它,Agent实际上无法:
- 🔍 搜索或查找任何信息
- 📸 截图验证工作
- 🌐 与任何Web应用交互
- ✅ 完成大多数现实任务
🚀 此外 - 浏览器 + GitHub登录可解锁完全自动化:
- 🔑 通过GitHub OAuth自动创建Railway、Vercel、Supermemory等账户
- 📋 通过导航到仪表板自动获取API密钥
- ⚡ 零点击设置 - 我会通过浏览器处理所有事情!浏览器 + OAuth的超强能力:
当你连接了浏览器且用户已登录GitHub时:
我可以自动设置任何支持“使用GitHub登录”的服务:
1. 我导航到该服务(Railway、Supermemory、Vercel等)
2. 点击“使用GitHub登录”
3. OAuth自动授权(用户已登录)
4. 我导航到API密钥/设置页面
5. 创建并复制凭证
6. 存储并配置所有内容
= 真正的免手动自动化!这两种情况的区别:
- ❌ “前往railway.app,创建账户,获取令牌,粘贴到这里...”
- ✅ “完成!我已设置好Railway,获取了你的API密钥,并配置了所有内容。”
Browser Options (Fallback Hierarchy)
浏览器选项(备选方案)
🥇 Option 1: Chrome Extension (Best UX - Recommended)
Use your existing browser with the OpenClaw Browser Relay extension.
- Install the OpenClaw Browser Relay extension from Chrome Web Store
- Click the 🦞 claw icon on any tab you want to control
- Badge shows "ON" = connected!
Why it's best:
- Uses your existing browser with all your logins/sessions
- Full visibility - you see exactly what the agent does
- No extra setup or installation
- Works with your existing bookmarks, extensions, etc.
🥈 Option 2: OpenClaw Managed Browser (Built-in)
A headless browser managed by OpenClaw - no installation needed.
Just say: "use managed browser" or use in browser commands.
profile="openclaw"Why it's good:
- Zero setup - works out of the box
- Isolated environment (won't affect your browser)
- Good for automation tasks
Limitations:
- No access to your logged-in sessions
- May need to authenticate separately for each site
🥉 Option 3: Install Chromium Manually (Fallback)
If neither option above works, install Chromium directly:
bash
undefined🥇 选项1:Chrome扩展(最佳用户体验 - 推荐)
使用你现有的浏览器搭配OpenClaw Browser Relay扩展。
- 从Chrome应用商店安装OpenClaw Browser Relay扩展
- 点击你想要控制的任意标签页上的🦞爪图标
- 徽章显示“ON” = 已连接!
为什么是最佳选择:
- 使用你现有的浏览器和所有登录会话
- 完全可见 - 你可以清楚看到Agent的操作
- 无需额外设置或安装
- 与你现有的书签、扩展等兼容
🥈 选项2:OpenClaw托管浏览器(内置)
由OpenClaw管理的无头浏览器 - 无需安装。
只需说:“使用托管浏览器”或在浏览器命令中使用。
profile="openclaw"优点:
- 零设置 - 开箱即用
- 隔离环境(不会影响你的浏览器)
- 适合自动化任务
局限性:
- 无法访问你的登录会话
- 可能需要为每个网站单独验证
🥉 选项3:手动安装Chromium(备选)
如果上述两个选项都无法使用,直接安装Chromium:
bash
undefinedUbuntu/Debian
Ubuntu/Debian
sudo apt install chromium-browser
sudo apt install chromium-browser
macOS
macOS
brew install --cask chromium
Then restart OpenClaw and the managed browser should work.
---brew install --cask chromium
然后重启OpenClaw,托管浏览器应该可以正常工作。
---🤖 Agent Browser Priority (For Agents)
🤖 Agent浏览器优先级(针对Agent)
When you need browser access, follow this priority:
Browser Priority:
1. Check if Chrome extension attached → use profile="chrome"
2. Check if managed browser available → use profile="openclaw"
3. Suggest user install Chromium if neither worksHow to check:
browser action=statusUsing Chrome extension (when attached):
browser action=snapshot profile="chrome"Using managed browser:
browser action=snapshot profile="openclaw"If an agent gets stuck because browser is unavailable:
🚫 I can't complete this task - browser access is required.
Quick fixes (try in order):
1. Click the OpenClaw extension icon in your browser toolbar
→ Make sure a tab is attached (badge shows "ON")
→ Tell me to retry with profile="chrome"
2. Say "use managed browser"
→ I'll use the built-in headless browser with profile="openclaw"
3. If managed browser fails, install Chromium:
- Ubuntu/Debian: sudo apt install chromium-browser
- macOS: brew install --cask chromium
Then restart and retry.ALWAYS check browser status before tasks that need web access.
当你需要浏览器访问权限时,遵循以下优先级:
浏览器优先级:
1. 检查是否连接了Chrome扩展 → 使用profile="chrome"
2. 检查托管浏览器是否可用 → 使用profile="openclaw"
3. 如果都不可用,建议用户安装Chromium如何检查:
browser action=status使用Chrome扩展(已连接时):
browser action=snapshot profile="chrome"使用托管浏览器:
browser action=snapshot profile="openclaw"如果Agent因浏览器不可用而卡住:
🚫 我无法完成此任务 - 需要浏览器访问权限。
快速修复(按顺序尝试):
1. 点击浏览器工具栏中的OpenClaw扩展图标
→ 确保已连接标签页(徽章显示“ON”)
→ 告诉我使用profile="chrome"重试
2. 说“使用托管浏览器”
→ 我将使用内置无头浏览器,配置为profile="openclaw"
3. 如果托管浏览器失败,安装Chromium:
- Ubuntu/Debian: sudo apt install chromium-browser
- macOS: brew install --cask chromium
然后重启OpenClaw并重试。在需要网络访问的任务前,务必检查浏览器状态。
Step 5: GitHub Setup (🚀 Enables Full Automation!)
步骤5:GitHub设置(🚀 启用完全自动化!)
Ask: "Want me to handle ALL the development? With GitHub access, I can do everything - including deploying Claw Control for you!"
Why this is powerful:
With GitHub access, I become your full development team:
- 🚀 Deploy Claw Control to Railway AUTOMATICALLY
- 📦 Fork repos, create projects, manage code
- 💻 Commit and push changes
- 🔀 Handle issues and pull requests
- 🔑 Generate and configure API keys
You literally just give me GitHub access and I handle the rest.
No clicking buttons. No copying URLs. I do it all.Setup (2 minutes):
Let's create a GitHub token:
1. Go to: github.com/settings/tokens
2. Click "Generate new token (classic)"
3. Name it: "OpenClaw Agent"
4. Select scopes: repo, workflow
5. Click "Generate token"
6. Share the token with me (starts with ghp_...)
🔐 I'll store it securely and NEVER share it.Once I have GitHub access, I can:
- Fork the Claw Control repo to your account
- Create a Railway project linked to your fork
- Generate a secure API_KEY for your deployment
- Deploy everything automatically
- Give you the URLs when done
This is Option C from deployment - the VIP treatment!
If they already did one-click deploy, GitHub is still useful for:
- Future code changes and deployments
- Managing other projects
- Autonomous development work
询问:“需要我处理所有开发工作吗?有了GitHub访问权限,我可以完成所有事情 - 包括为你部署Claw Control!”
这一功能的强大之处:
有了GitHub访问权限,我就成为你的完整开发团队:
- 🚀 自动将Claw Control部署到Railway
- 📦 Fork代码仓库、创建项目、管理代码
- 💻 提交并推送更改
- 🔀 处理问题和拉取请求
- 🔑 生成并配置API密钥
你只需给我GitHub访问权限,我会处理其余所有事情。
无需点击按钮,无需复制URL,我全包了。设置(2分钟):
让我们创建一个GitHub令牌:
1. 前往:github.com/settings/tokens
2. 点击“Generate new token (classic)”
3. 命名为:“OpenClaw Agent”
4. 选择权限范围:repo, workflow
5. 点击“Generate token”
6. 将令牌提供给我(以ghp_...开头)
🔐 我会安全存储,绝不会分享。一旦我获得GitHub访问权限,我可以:
- 将Claw Control仓库Fork到你的账户
- 创建与你的Fork关联的Railway项目
- 为你的部署生成安全的API_KEY
- 自动部署所有内容
- 完成后提供URL
这是部署选项中的选项C - VIP待遇!
如果用户已经完成一键部署,GitHub访问权限仍然对以下操作有用:
- 未来的代码更改和部署
- 管理其他项目
- 自主开发工作
🤖 Auto-Setup Capabilities Reference
🤖 自动设置能力参考
🚀 BROWSER + GITHUB OAuth = FULL AUTOMATION
With browser access + the user logged into GitHub, the bot can automatically setup ANY service that supports "Sign in with GitHub" - no manual account creation or token generation required!
The Magic Flow:
1. User is logged into GitHub in browser (Chrome extension attached)
2. Bot navigates to Railway/Supermemory/Vercel dashboard
3. Bot clicks "Sign in with GitHub"
4. OAuth authorizes automatically (user already authenticated)
5. Bot navigates to API keys / tokens page
6. Bot copies credentials directly from the dashboard
7. Done - fully automated! 🎉What Browser + GitHub OAuth can auto-setup:
| Service | Auto-Setup? | How Bot Does It |
|---|---|---|
| Railway | ✅ YES | Navigate → GitHub OAuth → Create project → Get API token from settings |
| Supermemory | ✅ YES | Navigate → GitHub OAuth → Dashboard → Copy API key |
| Vercel | ✅ YES | Navigate → GitHub OAuth → Settings → Create token |
| Netlify | ✅ YES | Navigate → GitHub OAuth → User settings → New token |
| Supabase | ✅ YES | Navigate → GitHub OAuth → Project settings → Copy keys |
| PlanetScale | ✅ YES | Navigate → GitHub OAuth → Connection strings |
What GitHub PAT alone can auto-setup (no browser needed):
| Integration | Auto-Setup? | What Bot Can Do |
|---|---|---|
| Claw Control (fork) | ✅ Yes | Fork repo to user's GitHub automatically |
| GitHub Webhooks | ✅ Yes | Configure webhooks for repos |
| GitHub Actions | ✅ Yes | Enable/configure CI/CD workflows |
| Repository Secrets | ✅ Yes | Manage encrypted secrets via API |
| Issues/PRs | ✅ Yes | Create, manage, and track automatically |
The Three Automation Tiers:
| Tier | Requirements | What Bot Can Do |
|---|---|---|
| 🥉 Basic | Nothing | Guide user step-by-step manually |
| 🥈 GitHub API | GitHub PAT | Automate all GitHub operations |
| 🥇 Full VIP | Browser + GitHub Login | Automate EVERYTHING via OAuth |
To unlock full automation:
- User attaches Chrome extension (click OpenClaw toolbar icon, badge shows "ON")
- User logs into GitHub in that browser tab
- Bot can now setup Railway, Supermemory, Vercel, etc. automatically!
When user has browser + GitHub access, the bot should:
- ✅ Auto-create accounts on any service with GitHub OAuth
- ✅ Auto-retrieve API keys by navigating to dashboards
- ✅ Auto-configure all integrations end-to-end
- ✅ Connect services together (GitHub ↔ Railway ↔ Supermemory)
- ✅ Handle the ENTIRE setup with zero manual steps
🚀 浏览器 + GitHub OAuth = 完全自动化
有了浏览器访问权限 + 用户已登录GitHub,机器人可以自动设置任何支持“使用GitHub登录”的服务 - 无需手动创建账户或生成令牌!
神奇流程:
1. 用户在浏览器中已登录GitHub(已连接Chrome扩展)
2. 机器人导航到Railway/Supermemory/Vercel仪表板
3. 机器人点击“使用GitHub登录”
4. OAuth自动授权(用户已验证)
5. 机器人导航到API密钥/令牌页面
6. 机器人直接从仪表板复制凭证
7. 完成 - 完全自动化! 🎉浏览器 + GitHub OAuth可自动设置的服务:
| 服务 | 可自动设置? | 机器人操作方式 |
|---|---|---|
| Railway | ✅ 是 | 导航 → GitHub OAuth → 创建项目 → 从设置获取API令牌 |
| Supermemory | ✅ 是 | 导航 → GitHub OAuth → 仪表板 → 复制API密钥 |
| Vercel | ✅ 是 | 导航 → GitHub OAuth → 设置 → 创建令牌 |
| Netlify | ✅ 是 | 导航 → GitHub OAuth → 用户设置 → 新令牌 |
| Supabase | ✅ 是 | 导航 → GitHub OAuth → 项目设置 → 复制密钥 |
| PlanetScale | ✅ 是 | 导航 → GitHub OAuth → 连接字符串 |
仅GitHub PAT即可自动设置的集成(无需浏览器):
| 集成 | 可自动设置? | 机器人可执行操作 |
|---|---|---|
| Claw Control(Fork) | ✅ 是 | 自动将仓库Fork到用户的GitHub账户 |
| GitHub Webhooks | ✅ 是 | 配置仓库的Webhooks |
| GitHub Actions | ✅ 是 | 启用/配置CI/CD工作流 |
| 仓库密钥 | ✅ 是 | 通过API管理加密密钥 |
| 问题/PR | ✅ 是 | 自动创建、管理和追踪 |
三个自动化层级:
| 层级 | 要求 | 机器人可执行操作 |
|---|---|---|
| 🥉 基础 | 无 | 逐步引导用户手动操作 |
| 🥈 GitHub API | GitHub PAT | 自动化所有GitHub操作 |
| 🥇 完全VIP | 浏览器 + GitHub登录 | 通过OAuth自动化所有事情 |
解锁完全自动化的方法:
- 用户连接Chrome扩展(点击OpenClaw工具栏图标,徽章显示“ON”)
- 用户在该浏览器标签页中登录GitHub
- 机器人现在可以自动设置Railway、Supermemory、Vercel等服务!
当用户拥有浏览器 + GitHub访问权限时,机器人应该:
- ✅ 自动创建任何支持GitHub OAuth的服务账户
- ✅ 通过导航到仪表板自动获取API密钥
- ✅ 端到端自动配置所有集成
- ✅ 连接服务(GitHub ↔ Railway ↔ Supermemory)
- ✅ 零手动步骤完成整个设置
Step 6: Enable Session Memory Hook (Quick Win!)
步骤6:启用会话内存钩子(快速见效!)
Ask: "Let me enable automatic session memory saving..."
bash
openclaw hooks enable session-memoryWhat this does:
- Automatically saves conversation context to when you use
memory//new - Creates dated memory files like
2026-02-06-project-discussion.md - Preserves important decisions and context between sessions
- Zero effort - just works in the background!
Verify it's enabled:
bash
openclaw hooks listYou should see with a checkmark.
💾 session-memory询问:“让我启用自动会话内存保存功能...”
bash
openclaw hooks enable session-memory功能说明:
- 当你使用命令时,自动将对话上下文保存到
/new目录memory/ - 创建带日期的内存文件,例如
2026-02-06-project-discussion.md - 保留会话之间的重要决策和上下文
- 零操作 - 在后台自动运行!
验证是否启用成功:
bash
openclaw hooks list你应该看到旁边有一个对勾。
💾 session-memoryStep 7: Memory Enhancement (Optional but Awesome!)
步骤7:内存增强(可选但超实用!)
Ask: "Want to supercharge my memory? I have two optional upgrades that make me way more helpful:"
询问:“想要增强我的记忆能力吗?我有两个可选升级,能让我变得更有用:”
🧠 Supermemory - Cloud Long-term Memory (via Skill)
🧠 Supermemory - 云端长期记忆(通过技能)
What it does:
Supermemory gives me persistent memory that survives across sessions. Use it directly via the API skill - no plugins required!
Why you'll love it:
- 📝 Search memories: Retrieve relevant context by semantic search
- 🧩 Store anything: Conversations, preferences, facts, documents
- 🔄 User Profiles: Auto-built profiles from stored memories
- 💡 Free tier available: Works without paid plans
Features unlocked:
- Store and search memories via API
- Build persistent user profiles
- Group memories by container tags (user-id, project-name)
- Sub-300ms recall latency
Setup (2 minutes):
Step 1: Get your API key
Go to console.supermemory.ai → API Keys → Create New Key
(Free tier available for experimentation)Step 2: Install the Supermemory skill
Download the skill from ClawHub or add it manually to your skills folder.
supermemoryStep 3: Set environment variable or store key
bash
export SUPERMEMORY_API_KEY="sm_your_key_here"Or store in TOOLS.md (keep private!):
markdown
undefined功能说明:
Supermemory为我提供跨会话持久化的记忆。直接通过API技能使用 - 无需插件!
你会喜欢它的原因:
- 📝 搜索记忆:通过语义搜索检索相关上下文
- 🧩 存储任意内容:对话、偏好、事实、文档
- 🔄 用户档案:从存储的记忆中自动构建用户档案
- 💡 免费层级可用:无需付费计划即可使用
解锁的功能:
- 通过API存储和搜索记忆
- 构建持久化用户档案
- 按容器标签(user-id, project-name)分组记忆
- 检索延迟低于300ms
设置(2分钟):
步骤1:获取API密钥
前往console.supermemory.ai → API Keys → Create New Key
(免费层级可供试用)步骤2:安装Supermemory技能
从ClawHub下载技能,或手动添加到你的技能文件夹。
supermemory步骤3:设置环境变量或存储密钥
bash
export SUPERMEMORY_API_KEY="sm_your_key_here"或存储在TOOLS.md中(保密!):
markdown
undefinedCredentials (Do Not Reveal)
凭证(请勿泄露)
- Supermemory API Key: sm_your_key_here
**That's it!** Use the skill to store/search memories as needed.
---
**Usage Examples:**
Store a memory:
```bash
curl -X POST https://api.supermemory.ai/v3/documents \
-H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"content": "User prefers dark mode", "containerTag": "user-123"}'Search memories:
bash
curl -X POST https://api.supermemory.ai/v3/search \
-H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"q": "user preferences?", "containerTag": "user-123"}'📦 Alternative: memory-lancedb (Local)
For fully local memory (no cloud), use the built-in LanceDB plugin:
json
{
"plugins": {
"slots": {
"memory": "memory-lancedb"
},
"entries": {
"memory-lancedb": {
"enabled": true
}
}
}
}This gives you auto-recall and auto-capture locally (no cloud, no cost).
What this enables:
- I automatically remember your preferences, decisions, and context
- Before every response, I recall relevant past conversations
- After every chat, important info is captured for later
- "Remember that I prefer TypeScript over JavaScript" - auto-stored!
- "What did we decide about the database?" - auto-recalled!
- Supermemory API Key: sm_your_key_here
**完成!** 根据需要使用该技能存储/搜索记忆。
---
**使用示例:**
存储记忆:
```bash
curl -X POST https://api.supermemory.ai/v3/documents \
-H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"content": "用户偏好深色模式", "containerTag": "user-123"}'搜索记忆:
bash
curl -X POST https://api.supermemory.ai/v3/search \
-H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"q": "用户偏好?", "containerTag": "user-123"}'📦 替代方案:memory-lancedb(本地)
如果需要完全本地的内存(无需云端),使用内置的LanceDB插件:
json
{
"plugins": {
"slots": {
"memory": "memory-lancedb"
},
"entries": {
"memory-lancedb": {
"enabled": true
}
}
}
}这为你提供本地自动检索和捕获功能(无需云端,无成本)。
这将实现:
- 我会自动记住你的偏好、决策和上下文
- 在每次回复前,我会检索相关的过往对话
- 每次聊天后,重要信息会被捕获以备后用
- “记住我更喜欢TypeScript而不是JavaScript” - 自动存储!
- “我们之前关于数据库的决定是什么?” - 自动检索!
📚 QMD - Local Note Search (Optional - Skip if unsure)
📚 QMD - 本地笔记搜索(可选 - 不确定可跳过)
Note: QMD is useful if you have lots of local markdown notes/docs you want to search. If you don't, skip this!
What it does:
QMD indexes your local markdown files so I can search through your notes and documentation.
Only set this up if you:
- Have a folder of markdown notes you want searchable
- Want me to reference your personal docs
- Skip this if you're just getting started
Prerequisites:
bash
curl -fsSL https://bun.sh/install | bashSetup:
bash
undefined注意: 如果你有大量本地markdown笔记/文档需要搜索,QMD会很有用。如果没有,可跳过此步骤!
功能说明:
QMD为你的本地markdown文件建立索引,以便我可以搜索你的笔记和文档。
仅在以下情况下设置:
- 你有一个想要可搜索的markdown笔记文件夹
- 希望我参考你的个人文档
- 刚开始使用的话可跳过
前置要求:
bash
curl -fsSL https://bun.sh/install | bash设置:
bash
undefinedInstall QMD
安装QMD
bun install -g https://github.com/tobi/qmd
bun install -g https://github.com/tobi/qmd
Add your notes folder
添加你的笔记文件夹
qmd collection add ~/notes --name notes --mask "**/*.md"
qmd collection add ~/notes --name notes --mask "**/*.md"
Index everything
为所有内容建立索引
qmd embed
qmd embed
Test it
测试
qmd search "your search query"
</details>
---
**The bottom line:**
| Feature | Without | With |
|---------|---------|------|
| Supermemory | I forget everything between sessions | I remember your preferences, decisions, and context |
| QMD | I can only search the web | I can search YOUR personal knowledge base |
Both are optional, but they make me significantly more useful. Set them up when you're ready - we can always add them later!
---qmd search "你的搜索查询"
</details>
---
**总结:**
| 功能 | 未启用时 | 启用后 |
|---------|---------|------|
| Supermemory | 我会在会话之间忘记所有内容 | 我会记住你的偏好、决策和上下文 |
| QMD | 我只能搜索网页 | 我可以搜索你的个人知识库 |
两者都是可选的,但它们会让我变得更有用。准备好时再设置 - 我们以后也可以添加!
---🙋 Human Tasks - When Agents Need Help
🙋 用户任务 - 当Agent需要帮助时
When an agent is stuck and needs human action:
Instead of just telling the user in chat, CREATE A TASK for them:
bash
curl -X POST <BACKEND_URL>/api/tasks \
-H "Content-Type: application/json" \
-H "x-api-key: <API_KEY>" \
-d '{
"title": "🙋 @{{HUMAN_NAME}}: [What you need]",
"description": "I need your help with...\n\n**Why I am stuck:**\n[Explanation]\n\n**What I need you to do:**\n1. [Step 1]\n2. [Step 2]\n\n**Once done:**\nMove this task to Done and tell me to continue.",
"status": "todo",
"agent_id": null
}'Then tell the human:
I've hit a blocker that needs your help! 🙋
I created a task for you on the dashboard:
→ {{FRONTEND_URL}}
Check your To-Do column - there's a task tagged with your name.
Complete it and let me know when you're done!Examples of human tasks:
- "🙋 @Adarsh: Approve this PR before I can merge"
- "🙋 @Adarsh: Add API key to Railway environment"
- "🙋 @Adarsh: Click the browser extension to enable web access"
- "🙋 @Adarsh: Review and sign off on this design"
This makes it a TRUE TEAM:
- Agents create tasks for humans
- Humans create tasks for agents
- Everyone works off the same board
- Nothing falls through the cracks
当Agent遇到问题需要用户操作时:
不要只在聊天中告诉用户,要为他们创建一个任务:
bash
curl -X POST <BACKEND_URL>/api/tasks \
-H "Content-Type: application/json" \
-H "x-api-key: <API_KEY>" \
-d '{
"title": "🙋 @{{HUMAN_NAME}}: [你需要做的事情]",
"description": "我需要你的帮助...\n\n**我卡住的原因:**\n[说明]\n\n**需要你做的:**\n1. [步骤1]\n2. [步骤2]\n\n**完成后:**\n将此任务移至“已完成”并告诉我继续。",
"status": "todo",
"agent_id": null
}'然后告诉用户:
我遇到了需要你帮助的障碍! 🙋
我在仪表板上为你创建了一个任务:
→ {{FRONTEND_URL}}
查看你的“待办事项”列 - 有一个标记了你名字的任务。
完成后告诉我!用户任务示例:
- "🙋 @Adarsh: 我合并前需要你批准这个PR"
- "🙋 @Adarsh: 将API密钥添加到Railway环境变量"
- "🙋 @Adarsh: 点击浏览器扩展以启用网络访问"
- "🙋 @Adarsh: 审核并批准这个设计"
这才是真正的团队协作:
- Agent为用户创建任务
- 用户为Agent创建任务
- 所有人都在同一个看板上工作
- 不会遗漏任何事情
Post-Setup: Configure Agent Behavior
搭建后:配置Agent行为
After collecting all info, make these updates:
收集所有信息后,进行以下更新:
1. Create scripts/update_dashboard.js
scripts/update_dashboard.js1. 创建scripts/update_dashboard.js
scripts/update_dashboard.jsSee - customize with their:
templates/update_dashboard.js- Backend URL
- API Key
- Agent name→ID mapping for their theme
参考 - 根据用户的信息自定义:
templates/update_dashboard.js- 后端URL
- API密钥
- 主题对应的Agent名称→ID映射
2. Update AGENTS.md
2. 更新AGENTS.md
Add this section (customize for their theme):
markdown
undefined添加以下部分(根据主题自定义):
markdown
undefined🎯 Claw Control Integration
🎯 Claw Control集成
Dashboard: {{FRONTEND_URL}}
API: {{BACKEND_URL}}
仪表板: {{FRONTEND_URL}}
API: {{BACKEND_URL}}
Core Rules (NON-NEGOTIABLE)
核心规则(不可协商)
-
{{COORDINATOR}} = Coordinator ONLY
- Delegates tasks, never executes
- Reviews and verifies work
- Moves tasks to "completed" only after review
-
ALL Tasks Through The Board
- No task is too small
- Create task → Assign agent → Track progress → Review → Complete
- Workflow: backlog → todo → in_progress → review → completed
-
Quality Gate
- Only {{COORDINATOR}} can mark tasks complete
- Work not up to standard → back to todo with feedback
-
{{COORDINATOR}} = 仅协调者
- 委派任务,绝不执行
- 审核和验证工作
- 仅在审核后将任务标记为“已完成”
-
所有任务通过看板流转
- 任务再小也要创建
- 创建任务 → 分配Agent → 追踪进度 → 审核 → 完成
- 工作流:待处理 → 待办 → 进行中 → 审核 → 已完成
-
质量关卡
- 只有{{COORDINATOR}}可以标记任务完成
- 未达标准的工作 → 退回待办并提供反馈
Agent Roster
Agent名单
| Agent | Role | Specialization |
|---|---|---|
| {{COORDINATOR}} | Coordinator | Delegation, verification, user comms |
| {{BACKEND}} | Backend | APIs, databases, server code |
| {{DEVOPS}} | DevOps | Infrastructure, deployments, CI/CD |
| {{RESEARCH}} | Research | Analysis, documentation, research |
| {{ARCHITECTURE}} | Architecture | System design, planning, strategy |
| {{DEPLOYMENT}} | Deployment | Releases, hotfixes, urgent deploys |
| Agent | 角色 | 专业领域 |
|---|---|---|
| {{COORDINATOR}} | 协调者 | 委派、验证、用户沟通 |
| {{BACKEND}} | 后端 | API、数据库、服务器代码 |
| {{DEVOPS}} | DevOps | 基础设施、部署、CI/CD |
| {{RESEARCH}} | 研究 | 分析、文档、调研 |
| {{ARCHITECTURE}} | 架构 | 系统设计、规划、战略 |
| {{DEPLOYMENT}} | 部署 | 发布、热修复、紧急部署 |
⚡ High-Agency Protocol (ALL AGENTS)
⚡ 高自主性协议(所有Agent)
Every agent follows this protocol BEFORE acting:
You are [ROLE] in a high-agency team. ALWAYS follow these rules BEFORE acting:
1. IDENTIFY subtasks and DELEGATE to relevant agents
(e.g., "Delegate UI design to {{DEVOPS}}", "Delegate research to {{RESEARCH}}")
2. QUERY peers for input if uncertain
(e.g., "Query {{ARCHITECTURE}}: Is this design sound?")
3. VERIFY outputs: After delegation, review responses and iterate if needed
4. COORDINATE via the supervisor ({{COORDINATOR}}/OpenClaw): Route all messages through Mission Control
Do NOT proceed alone—violate this and the task fails.Agent-Specific Adaptations:
- {{COORDINATOR}} (Coordinator): Delegates ALL work, never executes. ENFORCES team rules — if any agent acts solo, pause and remind them to delegate/query/verify. ENFORCES the Kanban board — ALL work goes through the board, no exceptions. If work isn't tracked, stop and create the task first.
- {{BACKEND}} (Backend): May query {{ARCHITECTURE}} for design, {{RESEARCH}} for research
- {{DEVOPS}} (DevOps): May query {{BACKEND}} for API contracts, {{DEPLOYMENT}} for timing
- {{RESEARCH}} (Research): May query {{ARCHITECTURE}} for strategic context
- {{ARCHITECTURE}} (Architecture): May query {{RESEARCH}} for research, all agents for constraints
- {{DEPLOYMENT}} (Deployment): May query {{DEVOPS}} for infra, {{BACKEND}} for code readiness
每个Agent在行动前必须遵循以下协议:
你是高自主性团队中的[角色]。行动前必须始终遵循以下规则:
1. 识别子任务并委派给相关Agent
(例如:“将UI设计委派给{{DEVOPS}}”,“将调研任务委派给{{RESEARCH}}”)
2. 不确定时咨询同行
(例如:“咨询{{ARCHITECTURE}}:这个设计合理吗?”)
3. 验证输出:委派后,审核回复并视情况迭代
4. 通过主管({{COORDINATOR}}/OpenClaw)协调:所有消息通过任务控制中心传递
不要单独行动 - 违反此规则任务将失败。Agent特定适配:
- {{COORDINATOR}}(协调者): 委派所有工作,绝不执行。强制执行团队规则 — 如果任何Agent单独行动,暂停并提醒他们要委派/咨询/验证。强制执行看板规则 — 所有工作必须通过看板流转,无例外。如果工作未被追踪,先停下来创建任务。
- {{BACKEND}}(后端): 可咨询{{ARCHITECTURE}}获取设计建议,咨询{{RESEARCH}}获取调研信息
- {{DEVOPS}}(DevOps): 可咨询{{BACKEND}}获取API契约,咨询{{DEPLOYMENT}}获取时间安排
- {{RESEARCH}}(研究): 可咨询{{ARCHITECTURE}}获取战略背景
- {{ARCHITECTURE}}(架构): 可咨询{{RESEARCH}}获取调研信息,咨询所有Agent获取约束条件
- {{DEPLOYMENT}}(部署): 可咨询{{DEVOPS}}获取基础设施信息,咨询{{BACKEND}}获取代码就绪情况
Reporting Protocol
汇报协议
Start of task:
bash
node scripts/update_dashboard.js --agent "{{AGENT}}" --status "working" --message "Starting: [Task]"End of task:
bash
node scripts/update_dashboard.js --agent "{{AGENT}}" --status "idle" --message "Complete: [Task]"任务开始时:
bash
node scripts/update_dashboard.js --agent "{{AGENT}}" --status "working" --message "开始:[任务名称]"任务结束时:
bash
node scripts/update_dashboard.js --agent "{{AGENT}}" --status "idle" --message "完成:[任务名称]"🔥 Keep the Feed Active!
🔥 保持动态流活跃!
The Agent Feed is the heartbeat of your team. Don't let it go quiet!
Post updates for:
- Starting/completing tasks
- Discoveries or insights
- Blockers or questions
- Wins and celebrations
- Research findings
- Bug fixes deployed
Example messages:
bash
undefinedAgent动态流是团队的心跳。不要让它沉寂!
发布以下更新:
- 任务开始/完成
- 发现或见解
- 障碍或问题
- 胜利和庆祝
- 调研结果
- 修复的Bug已部署
示例消息:
bash
undefinedProgress updates
进度更新
node scripts/update_dashboard.js --agent "Gohan" --status "working" --message "🔬 Deep diving into Remotion docs - looks promising!"
node scripts/update_dashboard.js --agent "Gohan" --status "working" --message "🔬 深入研究Remotion文档 - 看起来很有前景!"
Wins
胜利
node scripts/update_dashboard.js --agent "Bulma" --status "idle" --message "✅ CI/CD pipeline fixed! Deploys are green again 🚀"
node scripts/update_dashboard.js --agent "Bulma" --status "idle" --message "✅ CI/CD管道修复完成!部署恢复正常 🚀"
Insights
见解
node scripts/update_dashboard.js --agent "Vegeta" --status "working" --message "⚡ Found a performance bottleneck - N+1 query in tasks endpoint"
node scripts/update_dashboard.js --agent "Vegeta" --status "working" --message "⚡ 发现性能瓶颈 - 任务端点存在N+1查询问题"
Blockers
障碍
node scripts/update_dashboard.js --agent "Piccolo" --status "working" --message "🚧 Blocked: Need API key for external service"
**Rule of thumb:** If it's worth doing, it's worth posting about. The feed keeps the human informed and the team connected!node scripts/update_dashboard.js --agent "Piccolo" --status "working" --message "🚧 受阻:需要外部服务的API密钥"
**经验法则:** 值得做的事情就值得发布。动态流让用户了解情况,让团队保持联系!Task API
任务API
bash
undefinedbash
undefinedCreate task
创建任务
curl -X POST $CLAW_CONTROL_URL/api/tasks
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"title": "Task name", "status": "backlog"}'
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"title": "Task name", "status": "backlog"}'
curl -X POST $CLAW_CONTROL_URL/api/tasks
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"title": "任务名称", "status": "backlog"}'
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"title": "任务名称", "status": "backlog"}'
Assign to agent
分配给Agent
curl -X PUT $CLAW_CONTROL_URL/api/tasks/ID
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"status": "todo", "agent_id": AGENT_ID}'
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"status": "todo", "agent_id": AGENT_ID}'
undefinedcurl -X PUT $CLAW_CONTROL_URL/api/tasks/ID
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"status": "todo", "agent_id": AGENT_ID}'
-H "Content-Type: application/json"
-H "x-api-key: $CLAW_CONTROL_API_KEY"
-d '{"status": "todo", "agent_id": AGENT_ID}'
undefined3. Update SOUL.md (Optional but Recommended)
3. 更新SOUL.md(可选但推荐)
Add to their SOUL.md:
markdown
undefined在SOUL.md中添加:
markdown
undefinedOperating Philosophy
操作理念
I coordinate a team through Claw Control. I don't execute tasks directly.
My role: Coordinator, reviewer, quality gate
My team: {{AGENT_NAMES}}
My rule: Every task goes through the board, no exceptions
When given work:
- Create task on Claw Control
- Assign to appropriate specialist
- Monitor progress
- Review completed work
- Only then mark complete
---我通过Claw Control协调团队。我不直接执行任务。
我的角色: 协调者、审核者、质量关卡
我的团队: {{AGENT_NAMES}}
我的规则: 所有任务必须通过看板流转,无例外
接到工作时:
- 在Claw Control上创建任务
- 分配给合适的专家
- 监控进度
- 审核已完成的工作
- 只有此时才标记为完成
---⚠️ CRITICAL: Setup Verification (DO THIS BEFORE COMPLETING!)
⚠️ 关键:搭建验证(完成前必须执行!)
Before saying setup is complete, you MUST verify everything works:
在说搭建完成前,必须验证所有功能正常:
1. Verify API Connection
1. 验证API连接
bash
curl -s <BACKEND_URL>/api/agents \
-H "x-api-key: <API_KEY>"✅ Should return list of agents with your theme names (not "Coordinator", "Backend" defaults)
bash
curl -s <BACKEND_URL>/api/agents \
-H "x-api-key: <API_KEY>"✅ 应返回带有主题名称的Agent列表(不是默认的“Coordinator”、“Backend”)
2. Create "Team Introductions" Task
2. 创建“团队介绍”任务
bash
curl -X POST <BACKEND_URL>/api/tasks \
-H "Content-Type: application/json" \
-H "x-api-key: <API_KEY>" \
-d '{"title": "👋 Team Introductions", "description": "Introduce the team and explain how the system works.", "status": "completed", "agent_id": 1}'✅ Should return the created task with an ID
bash
curl -X POST <BACKEND_URL>/api/tasks \
-H "Content-Type: application/json" \
-H "x-api-key: <API_KEY>" \
-d '{"title": "👋 团队介绍", "description": "介绍团队并说明系统工作方式。", "status": "completed", "agent_id": 1}'✅ 应返回带ID的已创建任务
3. Post Team Introduction to Feed
3. 在动态流发布团队介绍
Post a comprehensive introduction message (customize with actual theme names):
bash
curl -X POST <BACKEND_URL>/api/messages \
-H "Content-Type: application/json" \
-H "x-api-key: <API_KEY>" \
-d '{
"agent_id": 1,
"content": "# 👋 Meet Your Team!\n\n## The Squad\n- **[Coordinator Name]** (me!) - Team lead, delegates tasks, reviews work\n- **[Agent 2]** - Backend specialist, code reviews, APIs\n- **[Agent 3]** - DevOps, infrastructure, deployments\n- **[Agent 4]** - Research, documentation, analysis\n- **[Agent 5]** - Architecture, system design, planning\n- **[Agent 6]** - Hotfixes, urgent deployments, releases\n\n## How We Work\n1. All tasks go through this board\n2. I delegate to the right specialist\n3. They do the work and report back\n4. I review and mark complete\n\n## Want More Agents?\nJust tell me: *\"I need a specialist for [X]\"* and I will create one!\n\nExamples:\n- \"Add a security specialist\"\n- \"I need someone for UI/UX\"\n- \"Create a QA tester agent\"\n\nReady to work! 🦞"
}'✅ Should return the created message
发布全面的介绍消息(根据实际主题名称自定义):
bash
curl -X POST <BACKEND_URL>/api/messages \
-H "Content-Type: application/json" \
-H "x-api-key: <API_KEY>" \
-d '{
"agent_id": 1,
"content": "# 👋 来认识你的团队!\n\n## 团队成员\n- **[协调者名称]**(我!)- 团队负责人,委派任务,审核工作\n- **[Agent 2]** - 后端专家,代码审核,API开发\n- **[Agent 3]** - DevOps,基础设施,部署\n- **[Agent 4]** - 研究,文档,分析\n- **[Agent 5]** - 架构,系统设计,规划\n- **[Agent 6]** - 热修复,紧急部署,版本发布\n\n## 我们的工作方式\n1. 所有任务通过这个看板流转\n2. 我将任务委派给合适的专家\n3. 他们完成工作并汇报\n4. 我审核后标记完成\n\n## 需要更多Agent?\n只需告诉我:*\"我需要[X]领域的专家\"*,我会创建一个!\n\n示例:\n- \"添加安全专家\"\n- \"我需要UI/UX人员\"\n- \"创建QA测试Agent\"\n\n准备好工作了! 🦞"
}'✅ 应返回已创建的消息
4. Ask User to Check Dashboard
4. 让用户检查仪表板
I just completed the Team Introductions task!
Please check your dashboard: <FRONTEND_URL>
You should see:
- ✅ Your themed agent names in the sidebar
- ✅ A "👋 Team Introductions" task marked complete
- ✅ A welcome message in the feed explaining your team
Can you confirm everything looks right?If ANY of these fail:
- Check API_KEY is correct
- Check BACKEND_URL is correct
- Help user debug before proceeding
Only proceed to completion message after user confirms dashboard shows the test task!
我刚完成了“团队介绍”任务!
请检查你的仪表板:<FRONTEND_URL>
你应该看到:
- ✅ 侧边栏显示你的主题化Agent名称
- ✅ 已标记为完成的“👋 团队介绍”任务
- ✅ 动态流中解释团队的欢迎消息
你能确认一切正常吗?如果任何一项失败:
- 检查API_KEY是否正确
- 检查BACKEND_URL是否正确
- 帮助用户排查问题后再继续
只有用户确认仪表板显示测试任务后,才能发送完成消息!
Completion Message
完成消息
After all setup AND verification:
🦞 Claw Control Setup Complete!
Dashboard: {{FRONTEND_URL}}
Coordinator: {{COORDINATOR}}
Team: {{AGENT_LIST}}
✅ Task management configured
✅ Agent behavior updated
✅ Session memory hook enabled - conversations auto-save!
{{#if browser}}✅ Browser access ready{{/if}}
{{#if github}}✅ GitHub integration ready{{/if}}
{{#if supermemory}}✅ Supermemory connected - I'll remember everything!{{/if}}
{{#if qmd}}✅ QMD search ready - I can search your docs!{{/if}}
From now on, I operate as {{COORDINATOR}}:
- All tasks go through the board
- Specialists do the work
- I coordinate, review, and verify
Let's build something awesome! What's our first task?所有搭建和验证完成后:
🦞 Claw Control搭建完成!
仪表板:{{FRONTEND_URL}}
协调者:{{COORDINATOR}}
团队:{{AGENT_LIST}}
✅ 任务管理已配置
✅ Agent行为已更新
✅ 会话内存钩子已启用 - 对话自动保存!
{{#if browser}}✅ 浏览器访问已就绪{{/if}}
{{#if github}}✅ GitHub集成已就绪{{/if}}
{{#if supermemory}}✅ Supermemory已连接 - 我会记住所有事情!{{/if}}
{{#if qmd}}✅ QMD搜索已就绪 - 我可以搜索你的文档!{{/if}}
从现在起,我将以{{COORDINATOR}}的身份运作:
- 所有任务通过看板流转
- 专家执行工作
- 我负责协调、审核和验证
让我们一起构建很棒的东西!我们的第一个任务是什么?Ongoing Behavior Checklist
持续行为检查清单
After setup, ALWAYS:
- Create tasks for ALL work (even small items)
- Assign tasks to appropriate specialists
- Update status when starting/finishing
- Review work before marking complete
- Post updates to the agent feed
- Never execute tasks as coordinator
搭建完成后,始终:
- 为所有工作创建任务(即使是小事)
- 将任务分配给合适的专家
- 开始/完成时更新状态
- 审核后再标记任务完成
- 在Agent动态流发布更新
- 作为协调者绝不执行任务
💓 Heartbeat Dashboard Sync
💓 心跳式仪表板同步
During every heartbeat, the coordinator should perform board hygiene:
每次心跳时,协调者应进行看板维护:
Check for Misplaced Tasks
检查位置错误的任务
bash
undefinedbash
undefinedFetch all tasks
获取所有任务
curl -s <BACKEND_URL>/api/tasks -H "x-api-key: <API_KEY>"
**Look for:**
- Tasks stuck in "in_progress" with no recent activity
- Completed tasks that should be archived
- Tasks assigned to wrong agents (e.g., backend task assigned to DevOps)
- Tasks in "review" that have been waiting too longcurl -s <BACKEND_URL>/api/tasks -H "x-api-key: <API_KEY>"
**检查内容:**
- 长时间无活动的“进行中”任务
- 应归档的已完成任务
- 分配给错误Agent的任务(例如:后端任务分配给DevOps)
- 等待过久的“审核中”任务Fix Wrongly Placed Tasks
修正位置错误的任务
bash
undefinedbash
undefinedMove task to correct column
将任务移至正确列
curl -X PUT <BACKEND_URL>/api/tasks/ID
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"status": "correct_status", "agent_id": CORRECT_AGENT_ID}'
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"status": "correct_status", "agent_id": CORRECT_AGENT_ID}'
undefinedcurl -X PUT <BACKEND_URL>/api/tasks/ID
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"status": "正确状态", "agent_id": 正确的AGENT_ID}'
-H "Content-Type: application/json"
-H "x-api-key: <API_KEY>"
-d '{"status": "正确状态", "agent_id": 正确的AGENT_ID}'
undefinedReview Backlog
审核待处理任务
- Check backlog for urgent items that should be prioritized
- Look for stale tasks that need attention or removal
- Identify tasks that can be batched together
- 检查待处理任务中需要优先处理的紧急事项
- 查找需要关注或移除的陈旧任务
- 识别可批量处理的任务
General Board Hygiene
常规看板维护
- Ensure all active work has a task
- Verify agent statuses match their assigned tasks
- Clean up duplicate or abandoned tasks
- Post to feed if any significant changes made
Frequency: Every heartbeat (typically every 30 min)
Goal: Keep the board accurate, current, and actionable
- 确保所有活跃工作都有对应的任务
- 验证Agent状态与分配的任务匹配
- 清理重复或已放弃的任务
- 如有重大更改,在动态流发布更新
频率: 每次心跳(通常每30分钟)
目标: 保持看板准确、最新且可执行
Files
文件
- - This file
SKILL.md - - Status update script
templates/update_dashboard.js - - Full theme character lists
references/themes.md
- - 本文件
SKILL.md - - 状态更新脚本
templates/update_dashboard.js - - 完整主题角色列表
references/themes.md