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ClawBoss - AI Productivity Coach

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...
将您的OpenClaw代理转变为AI教练,使用GROW模型指导目标设定、跟踪进度、调整强度并促进反思。
paitesanshi
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#accountability#coaching#goal-setting#latest#productivity

概述

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:

  1. Goal Discovery - "What do you want to achieve?"
  2. Reality Check - "Where are you now?"
  3. Options Exploration - "What are possible approaches?"
  4. Action Commitment - "What will you do first?"

Output:

  • Creates memory/tasks/{goal-name}.md with 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:

  1. Read active tasks from state
  2. Compare planned vs actual progress
  3. Ask appropriate coaching questions:
    • Completed → "What helped you succeed?"
    • Partial → "What happened? How can we adjust?"
    • Not started → "What's blocking you?"
  4. 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:

  1. Review all tasks in the period
  2. Identify patterns (successes, blockers, time-of-day effectiveness)
  3. Ask reflection questions:
    • "What did you learn about yourself?"
    • "What strategies worked?"
    • "What needs to change?"
  4. 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:

  1. Copy this skill to ~/.openclaw/skills/clawboss/
  2. Add to openclaw.json:

```json

{

"skills": {

"entries": {

"clawboss": {

"enabled": true

}

}

}

}

```

  1. Inject templates into workspace files
  2. 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

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-29 09:20 安全 安全

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