This repository, yao-open-skills, addresses the challenge of transforming fragmented AI prompts and workflows into robust, reusable AI assets. It curates production-ready "skills" for decision-making, business analysis, learning, and document generation, targeting engineers and power users. The primary benefit is enabling the creation and sharing of stable, maintainable AI capabilities that yield tangible outcomes, moving beyond ephemeral conversational tricks.

How It Works

OpenYao adopts a methodology focused on "Yielding AI Outcomes" (YAO) by packaging effective methods, processes, and constraints into shareable AI assets. The yao-meta-skill project defines the system for creating, evaluating, and governing these skills, while yao-open-skills serves as the curated public repository. Skills are designed for real task results, reusability, maintainability, and evaluability, fostering a collaborative ecosystem where quality and continuous evolution are prioritized over quantity.

Quick Start & Requirements

This repository functions as a curated collection and management center for AI skills. The primary workflow involves managing local skills, cleaning them according to defined rules, copying them into the skills/ directory, and updating the registry/skills.json and README. Detailed guidelines for repository design, naming conventions, and publishing are available within the docs/ directory. Specific skills, such as yao-websecurity-skill and yao-tutorial-skill, have their own dedicated documentation and usage guides referenced in the README. No direct installation or execution commands for the collection itself are provided.

Highlighted Details

• yao-websecurity-skill: A comprehensive security review skill with 275 checks covering diverse risk domains (including AI/RAG/LLM), supporting multiple review modes, and performing isolated execution with sensitive data sanitization in its reports.
• yao-tutorial-skill: Generates polished tutorial packages from topics or reference materials, prioritizing user input, writing for beginners, incorporating visualizations, and outputting in multiple formats (Markdown, Word, PDF, HTML).
• yao-bayesian-skill: Transforms uncertain real-world problems into iterative decision processes, supporting multi-round updates and generating detailed, dual-language reports.
• yao-gametheory-skill: Analyzes competitive scenarios using game theory frameworks, translating strategic problems into actionable reports with recommended actions, opponent reaction maps, and credibility assessments.

Maintenance & Community

The repository functions as a local working space and synchronization management center, with a defined workflow for updating and pushing changes to GitHub. It emphasizes maintaining a stable public collection with clear provenance for each skill. Specific community links (Discord, Slack) or direct contributor information are not detailed in the provided README.

Licensing & Compatibility

The provided README does not specify a license type or any compatibility notes for commercial use or closed-source linking.

Limitations & Caveats

The repository's primary function is curation and synchronization; it does not provide direct installation or execution commands for the collection itself. Some featured skill lines are noted as future product directions rather than fully integrated skills. A significant caveat for adoption is the absence of explicit licensing information, making it unclear for commercial or closed-source integration.