A comprehensive orchestration framework for AI agents to manage complex tasks, ensure high code quality, and implement a continuous self-improvement loop.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pi-workflow
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pi-workflow using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Pi Workflow Orchestration?
Pi Workflow Orchestration is a high-level management framework designed for AI coding agents. It provides a structured approach to handling non-trivial tasks by enforcing planning phases, utilizing subagent strategies for parallel execution, and maintaining a rigorous quality gate. By integrating this into Openclaw Skills, developers can ensure that their AI agents act with the foresight and precision of a staff engineer, focusing on elegant solutions and verifiable results.
The core philosophy centers on a self-improvement loop where every correction or error is logged as a structured lesson. This allows the agent to learn from past mistakes and refine its own operational rules over time, drastically reducing the recurrence of bugs and improving overall project autonomy.
Pi Workflow Orchestration Use Cases
- Orchestrating multi-step architectural changes in complex codebases.
- Implementing autonomous bug fixing and CI/CD error resolution without user intervention.
- Establishing a continuous learning system that captures technical debt and architectural lessons.
- Offloading research and parallel analysis to focused subagents to maintain a clean main context.
How Pi Workflow Orchestration Works
- Initialize a plan in tasks/todo.md for any task requiring more than three steps or major architectural decisions.
- Deploy subagents for specific research or execution tasks to optimize the main context window usage.
- Execute the implementation while tracking progress and documenting changes in real-time within the task files.
- Perform a mandatory verification phase, comparing diffs and running tests to prove correctness before marking a task done.
- Log any failures, corrections, or new insights into structured lesson files to update the agent's behavior for future tasks.
Pi Workflow Orchestration Setup
To enable the workflow hooks and start tracking lessons for your Openclaw Skills, use the following commands:
# Enable the workflow hooks
openclaw hooks enable pi-workflow
# Sync workspace lessons to the skill (from the repo root)
python3 scripts/sync_lessons.py --workspace ~/.openclaw/workspace
Pi Workflow Orchestration Data Schema & Taxonomy
The skill organizes its operations through a structured set of Markdown files located in the tasks directory:
| File Path | Description |
|---|---|
| tasks/todo.md | Active sprint tracking, checkable task items, and post-implementation reviews. |
| tasks/lessons.md | Structured corrections, insights, and pattern detection for long-term learning. |
| tasks/errors.md | Logs of command failures, API exceptions, and reproducibility steps for diagnosis. |
| tasks/feature_requests.md | Identified gaps in capability, complexity estimates, and suggested implementations. |
| memory/YYYY-MM-DD.md | Daily session logs providing a chronological audit trail of agent activity. |
Pi Workflow Orchestration Advanced Features
- Automated bootstrap reminders that inject critical workflow guidance and metadata requirements at the start of each session.
- Recurring pattern detection that automatically bumps the priority of frequent errors when they appear three or more times.
- Lesson promotion paths that allow developers to turn workspace-specific insights into global rules for Openclaw Skills.
- Script-based synchronization to merge local workspace improvements and metadata back into version-controlled repositories.
SKILL.md
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