# 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: `johnalbertini14-glitch/pi-workflow` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add johnalbertini14-glitch/pi-workflow`
- Raw SKILL.md: https://api.skillmd.com/api/skills/johnalbertini14-glitch/pi-workflow/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: johnalbertini14-glitch (https://skillmd.com/u/johnalbertini14-glitch)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/johnalbertini14-glitch/pi-workflow

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# 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

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` — 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](references/workflow_orchestration.md) for detailed reference.

See [LESSONS.md](references/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.

