piflow-enhance

What problem does it solve?

This Skill addresses the challenge of improving running pi-flow workflows, allowing users to apply atomic, generalizing changes to workflows based on spotted flaws, recurring findings, or human feedback.

Core Features & Use Cases

• Disciplined Improvement: Turn flaws and feedback into generalizing changes via a structured process of capture→route→edit→verify→approve→commit.
• Quality Criteria Management: Maintain a criteria fixture for per-node quality assessment and use Companion-Mode judging for human verification.
• Autonomous Optimization: The autonomous optimize loop uses a Hermes-style memory to improve proven flows with each run, including a scoring, triaging, fixing, and gating mechanism.
• Method Library: Consult a method library before editing, ensuring consistency and leveraging best practices.
• Companion Mode: A development-time tool for human oversight and verification during workflow improvement.
• Use Case: When you have a pi-flow workflow that needs refinement, use this Skill to systematically improve its nodes and overall performance.

Quick Start

To enhance a pi-flow workflow, run the 'piflow-enhance' skill on the specific workflow directory you wish to improve.