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pmo-skill-refiner

Wrap Anthropic skills with a PMO refinement layer and inject PMO-platform fields.

Updated Jun 5, 2026
Search Tags:#skill creation#skill refinement#anthropic#pmo#eval optimization
One-click install
npx skills add https://github.com/cody-hutson/pmo-platform --skill pmo-skill-refiner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pmo-skill-refiner
Source: https://github.com/cody-hutson/pmo-platform/tree/main/release/skills/pmo-skill-refiner
Command: npx skills add https://github.com/cody-hutson/pmo-platform --skill pmo-skill-refiner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic-skills:skill-creator, pmo-platform, pmo-skill-editor, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill refines PMO-platform skills by wrapping an Anthropic scaffolding skill with a PMO refinement layer, enhancing their capabilities and alignment with PMO requirements.

Core Features & Use Cases

  • PMO Refinement: Injects PMO-platform fields into the produced SKILL.md, including delivery_approach, output-contract stub, dependency-graph node, evidence-quality protocol, failure-mode discipline, Principal Standard checklist, and reversibility declaration.
  • Eval Harness: Runs the preserved eval harness from the skill-creator for variance analysis, description-trigger optimization, blind A/B comparison, and cross-skill false-positive detection.
  • Existing Skill Refinement: Coordinates with pmo-skill-editor for modifying existing skills' SKILL.md structure and eval work.
  • Use Case: When creating a new PMO skill or iterating on an existing skill's eval/description/trigger set, this Skill ensures it aligns with PMO standards and rigor.

Quick Start

Use the pmo-skill-refiner skill to refine an existing PMO skill's eval set, trigger description, or benchmark. For example, run "refine my-pmo-skill" to refine the skill's evaluation framework.

Frequently Asked Questions about pmo-skill-refiner

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

FAQPage Schema
How do I refine an existing PMO skill's evaluation framework and triggers?▼

To refine an existing PMO skill, you can run the pmo-skill-refiner to wrap the Anthropic skill with a PMO refinement layer, optimizing its eval harness, description triggers, and benchmark alignment.

What is a PMO refinement layer for skill creation?▼

A PMO refinement layer injects PMO-platform fields into a SKILL.md file, adding delivery approaches, output contracts, dependency graphs, evidence-quality protocols, failure-mode disciplines, and reversibility declarations to align skills with PMO standards.

Do I need the Anthropic skill-creator to use a PMO skill refinement layer?▼

Yes, you need the Anthropic skill-creator, pmo-platform, and pmo-skill-editor dependencies, because the refiner preserves the skill-creator's eval harness for variance analysis, trigger optimization, and cross-skill false-positive detection.

Can I run variance analysis and blind A/B comparison on PMO-platform skills?▼

Yes, you can run variance analysis, blind A/B comparison, and cross-skill false-positive detection by utilizing the preserved eval harness from the Anthropic skill-creator during the PMO refinement process.

What's the best way to align an existing SKILL.md structure with PMO standards?▼

The best way to align a SKILL.md structure with PMO standards is coordinating with the pmo-skill-editor to modify existing skills, injecting Principal Standard checklists and failure-mode disciplines via the PMO refinement layer.

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