#556 · Primary category: AI Agents & Automation

yao-meta-skill

agent-skills ai-agents evaluation governance meta-skill portability skill-engineering workflow-automation

YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills.

Project last updated:08/17/26

GitHub Stars

2.6K

Forks

240

Contributors

3

License

MIT

Why we included this project

Anyone who has rewritten the same prompt for ChatGPT, Claude, and a VS Code extension will recognize the problem this project tackles: it packages repeated workflows, prompts, runbooks, and transcripts into installable agent skills that work across tools. The key move is modeling a skill once in a neutral intermediate representation, then compiling it for OpenAI, Claude, generic agent skills, and VS Code-oriented targets, so the same capability moves between assistants without being re-typed. Around that packaging sits a governance layer that most skill tools skip: an output evaluation lab with assertions and execution evidence, a review studio that gates releases, package verification and install simulation, and telemetry that shows whether a skill is still being used after release. That makes it a fit for a lead or small team that wants to turn a personal prompt into a maintained team asset with release evidence, or keep a portfolio of skills from quietly rotting. It is a framework and methodology rather than a ready-made agent, so expect to invest in the workflow rather than plug it in and go.

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