| name | pi-workflow |
| description | 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. |
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 the pattern
- 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
- Note: Lessons stay in workspace only; no automatic syncing into skill files prevents prompt injection
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
- Plan First: Write plan to
tasks/todo.md with checkable items
- Verify Plan: Check in before starting implementation
- Track Progress: Mark items complete as you go
- Explain Changes: High-level summary at each step
- Document Results: Add review section to
tasks/todo.md
- Capture Lessons: Update
tasks/lessons.md after corrections
File Organization
tasks/todo.md — active sprint (current project)
tasks/lessons.md — reusable patterns (all projects, permanent)
memory/YYYY-MM-DD.md — session logs (daily)
MEMORY.md — your curated memories (maintained by user)
See WORKFLOW_ORCHESTRATION.md for detailed reference.
See LESSONS.md for philosophy and framing.
Core Principles
- Simplicity First: Make every change as simple as possible. Minimal code impact.
- No Laziness: Find root causes. No temporary fixes. Senior developer standards.
- Minimal Impact: Changes should only touch what's necessary. Avoid introducing bugs.