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piflow-enhance

Apply structured generalizing changes to pi-flow workflows with human verification.

103|1|Updated Jun 9, 2026
Search Tags:#quality assurance#workflow improvement#autonomous optimization#pi-flow#method library
One-click install
npx skills add https://github.com/blueif16/PiFlow --skill piflow-enhance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: piflow-enhance
Source: https://github.com/blueif16/PiFlow/tree/main/.claude/skills/piflow-enhance
Command: npx skills add https://github.com/blueif16/PiFlow --skill piflow-enhance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

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.

Frequently Asked Questions about piflow-enhance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I improve a running pi-flow workflow systematically?▼

To improve a running pi-flow workflow, apply a structured capture, route, edit, verify, approve, and commit process. This method turns spotted flaws and human feedback into atomic, generalizing changes for your nodes.

Can I use autonomous optimization to refine pi-flow workflows?▼

Yes, autonomous optimization refines pi-flow workflows using a Hermes-style memory loop. This mechanism scores, triages, fixes, and gates proven flows, incrementally improving workflow performance with each run.

What is the best way to verify workflow changes during pi-flow development?▼

The best way to verify pi-flow changes is using Companion Mode. This development-time tool provides human oversight by judging per-node quality criteria against a maintained fixture during the edit process.

How does the method library ensure consistency when modifying pi-flow nodes?▼

The method library ensures consistency by requiring consultation before editing pi-flow nodes. It leverages established best practices so that applied workflow changes maintain structural and operational standards.

Do I need knowledge of pi-agent nodes to use pi-flow enhancement methods?▼

Yes, you need knowledge of pi-agent nodes and workflow design principles. This Skill applies to production-grade pi-flow orchestration, requiring familiarity with these concepts to effectively execute improvements.

Why does my pi-flow workflow need a quality criteria fixture?▼

A pi-flow workflow needs a quality criteria fixture to enable per-node quality assessment. This fixture supports Companion-Mode judging, providing a baseline for human verification during workflow improvements.

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