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ClawBoss - AI Productivity Coach

by @paitesanshi

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...

Versionv1.0.0
Downloads1,040
TERMINAL
clawhub install clawboss

πŸ“– About This Skill

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 β†’ "What helped you succeed?" - Partial β†’ "What happened? How can we adjust?" - Not started β†’ "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:

  • βœ… "What helped you complete this?"
  • βœ… "What got in the way?"
  • βœ… "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:

       {
         "skills": {
           "entries": {
             "clawboss": {
               "enabled": true
             }
           }
         }
       }
       
    3. Inject templates into workspace files 4. 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