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yao-meta-skill

Automate creation, evaluation, packaging, and governance of reusable agent skills.

2.4k|224|Updated Mar 31, 2026
Search Tags:#skill creation#agent skills#skill packaging#skill evaluation#skill governance
One-click install
npx skills add https://github.com/yaojingang/yao-meta-skill --skill yao-meta-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: yao-meta-skill
Source: https://github.com/yaojingang/yao-meta-skill/tree/main
Command: npx skills add https://github.com/yaojingang/yao-meta-skill --skill yao-meta-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complex process of creating, evaluating, packaging, and governing reusable agent skills, streamlining the entire lifecycle and enhancing productivity.

Core Features & Use Cases

  • Skill Creation: Turn workflows into reusable skills, with support for various inputs like workflows, prompts, SOPs, and scripts.
  • Evaluation: Run trigger evaluations, output evaluations, benchmark reproducibility, and review Studio for comprehensive testing.
  • Packaging: Generate skill packages with SKILL.md, interface.yaml, assets, and reports for portability and distribution.
  • Governance: Enforce governance through lifecycle, review cadence, maturity score, trust boundary, promotion decision, and regression history.
  • Use Case: For instance, you can create a skill to automate routine workflow processes within your organization, ensuring consistency and efficiency.

Quick Start

Install the skill and run the yao CLI commands to create, evaluate, package, and govern your agent skills.

Frequently Asked Questions about yao-meta-skill

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

FAQPage Schema
How do I automate skill creation from workflows, prompts, and SOPs into reusable agent skills?▼

To automate skill creation, you can use this tool to turn workflows, prompts, SOPs, and scripts into reusable agent skills. It streamlines the entire lifecycle from initial creation to final packaging.

How does skill evaluation work for trigger testing and benchmark reproducibility?▼

Skill evaluation works by running trigger evaluations, output evaluations, and benchmark reproducibility checks. This comprehensive testing process ensures your agent skills perform reliably before packaging.

What is included in an agent skill package for portability and distribution?▼

An agent skill package includes SKILL.md, interface.yaml, assets, and reports for portability and distribution. These components ensure the packaged skill is fully self-contained and ready for deployment.

Do I need Python 3.11 and PyYAML to manage agent skill packaging?▼

Yes, you need Python 3.11 or newer and PyYAML to manage agent skill packaging. These specific library dependencies are required for YAML parsing and configuration management.

What is the best way to enforce governance and review cadence for reusable agent skills?▼

The best way to enforce governance is by applying lifecycle rules, review cadence, maturity scores, and trust boundaries. This approach manages promotion decisions and tracks regression history effectively.

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