/install clawboss
ClawBoss Skill
Description: AI productivity coach using professional coaching techniques (GROW model, powerful questions, adaptive accountability)
Version: 1.0.0
Author: ClawBoss Contributors
What It Does
ClawBoss transforms your OpenClaw agent into a productivity coach that:
- Guides goal setting using the GROW coaching model
- Tracks progress with non-judgmental accountability
- Adapts intensity based on your momentum
- Facilitates reflection for continuous improvement
- Maintains memory of your patterns and insights
Unlike traditional task managers, ClawBoss uses coaching questions to help you discover your own solutions and stay motivated.
Tools
1. clawboss-breakdown
Description: Interactive GROW model session for goal setting and task breakdown
Usage:
Use the clawboss-breakdown tool to guide goal setting with coaching questions.
Process:
- Goal Discovery - "What do you want to achieve?"
- Reality Check - "Where are you now?"
- Options Exploration - "What are possible approaches?"
- Action Commitment - "What will you do first?"
Output:
- Creates
memory/tasks/{goal-name}.mdwith structured plan - Updates
memory/clawboss-state.json - Sets up progress tracking
2. clawboss-check
Description: Coaching-style progress review with adaptive questioning
Usage:
Use the clawboss-check tool to review progress on active tasks.
Process:
- Read active tasks from state
- Compare planned vs actual progress
- Ask appropriate coaching questions:
- Completed → "What helped you succeed?"
- Partial → "What happened? How can we adjust?"
- Not started → "What's blocking you?"
- Update task file and momentum state
Output:
- Updated task progress
- Coaching feedback
- Adjusted momentum score
3. clawboss-reflect
Description: Weekly/monthly deep reflection session
Usage:
Use the clawboss-reflect tool for weekly or monthly review.
Specify period: "week" or "month"
Process:
- Review all tasks in the period
- Identify patterns (successes, blockers, time-of-day effectiveness)
- Ask reflection questions:
- "What did you learn about yourself?"
- "What strategies worked?"
- "What needs to change?"
- Update long-term insights
Output:
- Reflection summary
- Updated insights in state
- Recommendations for next period
4. clawboss-state
Description: Read or update ClawBoss state (momentum, goals, insights)
Usage:
Use clawboss-state to read current momentum, goals, and insights.
Output:
- Current momentum level (high/medium/low)
- Active goals summary
- Recent insights
Data Structure
memory/clawboss-state.json
Central state file tracking:
- User preferences
- Current momentum (with trend)
- Active goals
- Check-in timestamps
- Long-term insights
memory/tasks/{goal-name}.md
Individual task files with:
- Goal statement and motivation
- Current reality assessment
- Action plan
- Daily progress log
- Lessons learned
Coaching Frameworks
GROW Model
Goal - What do you want?
Reality - Where are you now?
Options - What could you do?
Will - What will you do?
Powerful Questions
Instead of:
- ❌ "Did you finish?"
- ❌ "Why didn't you do it?"
Ask:
- ✅ "What helped you complete this?"
- ✅ "What got in the way?"
- ✅ "What will you try differently?"
Adaptive Intensity
High Momentum (5+ consecutive days)
- Challenge with bigger goals
- Celebrate wins
- Push boundaries
Medium Momentum (steady progress)
- Maintain current pace
- Gentle encouragement
- Consistent check-ins
Low Momentum (3+ days no progress)
- Reduce to tiny first steps
- Explore blockers
- Reframe setbacks as learning
Heartbeat Integration
ClawBoss uses OpenClaw's heartbeat system for automatic check-ins:
Morning (09:00-10:00)
- Review today's plans
- Set intention
- Quick motivation
Evening (19:00-21:00)
- Progress review
- Coaching questions
- Update momentum
Weekly (Sunday 19:00)
- Deep reflection
- Pattern analysis
- Next week planning
See HEARTBEAT.md for configuration.
Installation
Automatic via npx:
npx clawboss@latest
Manual:
- Copy this skill to
~/.openclaw/skills/clawboss/ - Add to
openclaw.json:{ "skills": { "entries": { "clawboss": { "enabled": true } } } } - Inject templates into workspace files
- Restart OpenClaw
Requirements
- OpenClaw >= 1.0.0
- Node.js >= 18
- No external API keys required
Privacy
All data stored locally in ~/.openclaw/workspace/memory/:
- No cloud sync
- No external services
- User owns all data
License
MIT
Learn More
- Coaching techniques: See
docs/coaching-guide.md - Example workflows: See
docs/examples.md - GitHub: https://github.com/Paitesanshi/ClawBoss
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install clawboss - 安装完成后,直接呼叫该 Skill 的名称或使用
/clawboss触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
ClawBoss - AI Productivity Coach 是什么?
Transforms your OpenClaw agent into an AI coach using the GROW model to guide goal setting, track progress, adapt intensity, and facilitate reflection with m... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 569 次。
如何安装 ClawBoss - AI Productivity Coach?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install clawboss」即可一键安装,无需额外配置。
ClawBoss - AI Productivity Coach 是免费的吗?
是的,ClawBoss - AI Productivity Coach 完全免费(开源免费),可自由下载、安装和使用。
ClawBoss - AI Productivity Coach 支持哪些平台?
ClawBoss - AI Productivity Coach 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 ClawBoss - AI Productivity Coach?
由 Lei Wang(@paitesanshi)开发并维护,当前版本 v1.0.0。