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Engineer, evaluate, govern, and reuse portable AI agent skills.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "yao-meta-skill" yet — see the docs or source repo.
Using the YAO method, create a specification for an AI skill that classifies customer support emails and suggests replies. Include goals, inputs/outputs, edge cases, evaluation criteria, failure handling, and portability requirements.
A structured skill specification ready for development, testing, and cross-platform reuse.
Design a YAO evaluation plan for a lead-summary generation agent skill, including test datasets, scoring dimensions, pass thresholds, human review rules, and a regression testing workflow.
An actionable evaluation and regression-testing framework for continuously validating skill quality.
Using YAO principles, define a governance plan for an internal knowledge Q&A skill covering versioning, prompt change logs, access control, risk checks, model-switch compatibility, and release workflow.
A team-ready governance and release spec that keeps the skill safe, traceable, and portable.
Design, integrate, and optimize AI agent skills for production applications.
Turn AI agents into GitOps engineers for deployment and operations automation.
Learn to design and apply AI skills in real agent systems.
Semantically search a local skill library and load only relevant skills on demand.
Mine recurring coding-agent workflows and refine skills for reuse and publication.
Discover, audit, and recommend the right skills for AI agents.