ClawBoss - AI Productivity Coach
Verified@Paitesanshi
npx machina-cli add skill @Paitesanshi/clawboss --openclawClawBoss 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
Overview
ClawBoss turns an OpenClaw agent into a structured productivity coach. It guides goal setting with the GROW model, tracks progress with non-judgmental accountability, and adapts intensity based on momentum while preserving memories of patterns and insights for continuous improvement.
How This Skill Works
ClawBoss executes the GROW framework through interactive coaching questions: Goal, Reality, Options, Will. It leverages four tools—clawboss-breakdown for goal setting, clawboss-check for progress reviews, clawboss-reflect for periodic reflection, and clawboss-state for reading and updating momentum and goals—and stores outputs in memory/clawboss-state.json and memory/tasks/{goal-name}.md for persistence.
When to Use It
- When starting a new goal and you need a structured plan
- During regular check-ins to stay accountable and adjust
- When momentum slows and you need adaptive intensity
- For weekly or monthly reflection to surface patterns and learnings
- When turning insights into long term habits and memory
Quick Start
- Step 1: Run clawboss-breakdown to define the goal, reality, options, and action commitment
- Step 2: Use clawboss-check to review progress on active tasks and adjust next steps
- Step 3: Schedule weekly clawboss-reflect to consolidate insights and update long term memory
Best Practices
- Define clear, measurable goals using the GROW framework
- Run clawboss-breakdown before action to create a structured plan
- Use clawboss-check to compare planned versus actual progress
- Adjust intensity based on momentum with clear thresholds
- Review long term insights with clawboss-reflect to update memory
Example Use Cases
- A software engineer uses ClawBoss to plan a feature rollout, break it down into steps, and track progress with weekly reflections.
- A sales rep structures outreach goals, reviews results, and adapts messaging based on momentum data.
- A product manager aligns quarterly objectives with GROW, documents outcomes in memory, and retrieves patterns during reviews.
- A student uses ClawBoss to prepare a study plan, checks daily progress, and reflects weekly to improve time management.
- A small team uses clawboss-state to maintain momentum trends across sprints and identify blockers early.