Ross ROSS = Recommend OSS · open-source software intelligence for agents

yaojingang/yao-meta-skill

YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills. observed · 2026-08-28

github.com/yaojingang/yao-meta-skill · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

59/100

  • Activity 98
  • Release rhythm 35
  • Longevity 11

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 155
  • days_rel: n/a
  • days_push: 16
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2521 stars · 239 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Yao Meta Skill (YAO = Yielding AI Outcomes) is a Python-based system for engineering, evaluating, packaging, and governing reusable AI agent skills. It provides a platform-neutral Skill IR, target compilers for OpenAI/Claude/VS Code surfaces, an evaluation lab, and release governance gates forming a 'Skill OS' lifecycle.

Use cases

  • turn repeated workflows into installable agent skill packages
  • compile one skill definition for multiple AI agent platforms
  • evaluate and benchmark agent skill behavior before release
  • govern skill releases with evidence and review gates
  • package reusable prompts as cross-platform AI assets
  • track adoption drift and iterate on agent skills

When to choose

  • you build many AI agent skills and need a repeatable engineering pipeline
  • you want one skill definition compiled to OpenAI, Claude, and other agent targets
  • you need evaluation, benchmarking, and release governance for LLM skill packages

When to avoid

  • you just need a single one-off prompt with no reuse
  • you want a general agent runtime rather than a skill authoring/governance system
  • you need a production agent orchestration framework with tool calling built in

Facets

framework · maturity active

agent-framework prompt-engineering testing workflow-automation developer-tools large-language-models developer-tools python cli cross-platform agent-skills skill-engineering skill-ops evaluation governance meta-skill skill-packaging llm-workflows ai-agents automation

2 sources

Member repositories

RepositoryRoleHealth v2
yaojingang/yao-meta-skillmain59

For agents

markdown · JSON · MCP: product_card(name="yaojingang/yao-meta-skill")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem