Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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...
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...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Description: AI productivity coach using professional coaching techniques (GROW model, powerful questions, adaptive accountability) Version: 1.0.0 Author: ClawBoss Contributors
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.
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}.md with structured plan Updates memory/clawboss-state.json Sets up progress tracking
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 โ "What helped you succeed?" Partial โ "What happened? How can we adjust?" Not started โ "What's blocking you?" Update task file and momentum state Output: Updated task progress Coaching feedback Adjusted momentum score
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
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
Central state file tracking: User preferences Current momentum (with trend) Active goals Check-in timestamps Long-term insights
Individual task files with: Goal statement and motivation Current reality assessment Action plan Daily progress log Lessons learned
Goal - What do you want? Reality - Where are you now? Options - What could you do? Will - What will you do?
Instead of: โ "Did you finish?" โ "Why didn't you do it?" Ask: โ "What helped you complete this?" โ "What got in the way?" โ "What will you try differently?"
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
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.
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
OpenClaw >= 1.0.0 Node.js >= 18 No external API keys required
All data stored locally in ~/.openclaw/workspace/memory/: No cloud sync No external services User owns all data
MIT
Coaching techniques: See docs/coaching-guide.md Example workflows: See docs/examples.md GitHub: https://github.com/Paitesanshi/ClawBoss
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.