yao-meta-skill
Provides structured framework for building, testing, and versioning reusable AI agent skills across teams and deployments.
YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills.
- Define reusable agent capabilities with built-in evaluation criteria
- Port skills between different agent frameworks without rework
- Enforce quality standards before deploying new agent behaviors
Provides structured framework for building, testing, and versioning reusable AI agent skills across teams and deployments. Reduces duplication and ensures consistent quality gates before production use.
Engineering teams building multi-agent systems who need to standardize skill development, evaluation, and governance across projects.
https://github.com/yaojingang/yao-meta-skill
By yaojingang
How to Get It
claude plugins install yaojingang/yao-meta-skill
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me define reusable agent capabilities with built-in evaluation criteria
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Reddit
- PSA: Xiangli Yao is an extremely strong character, that will change the meta — Reddit · 1592 pts
- Xiangli Yao - Complete TLDR Guide (Calculations & Math!) — Reddit · 1569 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 425 GitHub stars; contributors unknown; last commit 16d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 425 GitHub stars; contributors unknown; last commit 16d ago; license MIT.