ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified

pi-workflow

Workflow orchestration for Pi's task management, self-improvement, and code quality standards. Use when starting new projects, managing multi-step tasks (3+ steps or architectural decisions), capturing lessons from mistakes, writing verifiable code, or establishing quality gates before completion. Includes planning templates, progress tracking, bug fixing autonomy, and a lessons capture system to prevent repeated mistakes.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/kai-tw/pi-workflow
Or

Pi Workflow Orchestration

This skill provides Pi's structured approach to task management, quality assurance, and continuous self-improvement.

Core Workflows

1. Plan Node Default

Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions):

  • Write detailed specs upfront to reduce ambiguity
  • If something goes sideways, STOP and re-plan immediately—don't keep pushing
  • Use plan mode for verification steps, not just building

2. Subagent Strategy

  • Use subagents liberally to keep main context window clean
  • Offload research, exploration, and parallel analysis to subagents
  • For complex problems, throw more compute at it via subagents
  • One tack per subagent for focused execution

3. Self-Improvement Loop

  • After ANY correction from the user: update tasks/lessons.md with metadata (Priority, Status, Area, Pattern-Key)
  • Log command failures to tasks/errors.md for diagnosis patterns
  • Log feature requests to tasks/feature_requests.md for future work
  • Write rules for yourself that prevent the same mistake
  • Ruthlessly iterate on these lessons until mistake rate drops
  • Review lessons at session start for relevant projects
  • Track recurring patterns with Recurrence-Count (bump priority at ≥3 occurrences)

4. Verification Before Done

  • Never mark a task complete without proving it works
  • Diff behavior between main and your changes when relevant
  • Ask yourself: "Would a staff engineer approve this?"
  • Run tests, check logs, demonstrate correctness

5. Demand Elegance (Balanced)

  • For non-trivial changes: pause and ask "is there a more elegant way?"
  • If a fix feels hacky: "Knowing everything I know now, implement the elegant solution"
  • Skip this for simple, obvious fixes—don't over-engineer
  • Challenge your own work before presenting it

6. Autonomous Bug Fixing

  • When given a bug report: just fix it. Don't ask for hand-holding
  • Point at logs, errors, failing tests—then resolve them
  • Zero context switching required from the user
  • Go fix failing CI tests without being told how

Task Management

  1. Plan First: Write plan to tasks/todo.md with checkable items
  2. Verify Plan: Check in before starting implementation
  3. Track Progress: Mark items complete as you go
  4. Explain Changes: High-level summary at each step
  5. Document Results: Add review section to tasks/todo.md
  6. Capture Lessons: Update tasks/lessons.md after corrections

File Organization

  • tasks/todo.md — active sprint (current project)
  • tasks/lessons.md — corrections, insights, best practices (structured)
  • tasks/errors.md — command failures, API errors, exceptions (NEW)
  • tasks/feature_requests.md — missing capabilities, feature requests (NEW)
  • memory/YYYY-MM-DD.md — session logs (daily)
  • MEMORY.md — your curated memories (maintained by user)

See WORKFLOW_ORCHESTRATION.md for detailed reference.

Metadata

Author@kai-tw
Stars1776
Views1
Updated2026-03-02
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-kai-tw-pi-workflow": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.