head to head · open source

Vibe-Skills vs yao-meta-skill

Vibe-Skills has 3,793 GitHub stars, 343 forks, 42 open issues and last shipped yesterday. yao-meta-skill has 2,718 stars, 252 forks, 4 open issues and last shipped 3 months ago. Vibe-Skills leads on adoption by 40% (3,793 vs 2,718 stars). Vibe-Skills is written in Python under Apache-2.0; yao-meta-skill is written in Python under MIT. Vibe-Skills has attracted 9% as many forks as stars, yao-meta-skill 9%. Vibe-Skills was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agent-skills, ai-agents), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Vibe-Skills ★ 3.8K yao-meta-skill ★ 2.7K category Productivity & Utilities

← all 20902 open source comparisons

Side by side

Vibe-Skills yao-meta-skill
GitHub stars ★ 3.8K ★ 2.7K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-04 2026-08-17
Forks ⑂ 343 ⑂ 252
Self-hosting Yes Yes
Data ownership Your server Your server

pick Vibe-Skills if

  • You weight community size — 3.8K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Vibe-Skills profile →

pick yao-meta-skill if

  • You want the yao-meta-skill feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and yao-meta-skill fits your workflow better

full yao-meta-skill profile →

About Vibe-Skills

English 中文 Latest release · v4.1.0 Quick start · Measured on SkillsBench Mean verifier reward: +21.12 pp Total tokens: 29.6% · Tool calls: 33.1% SkillsBench is a benchmark designed to evaluate whether AI agents can effectively use Skills to complete professional tasks across diverse domains. Its purpose is to measure how much a model’s ability to solve complex real world tasks improves when it is equipped with specialized Skills. To evaluate performance in production like environments where a large number of Skills are installed simultaneously, we adapted SkillsBench into a more realistic large scale multi Skill…

read the full Vibe-Skills overview →

About yao-meta-skill

Yao Meta Skill YAO stands for Yielding AI Outcomes : the goal is not to generate more prompt text, but to produce reusable AI assets and real operational outcomes. yao meta skill creates, evaluates, packages, and governs reusable agent skills. The 1.0 line focused on turning repeated workflows into installable, readable, cross platform skill packages. The 2.0 line expands that factory into a Skill OS: a governed system for modeling a skill once, compiling it for multiple targets, testing its behavior, reviewing its release evidence, and tracking the next iteration. Quick Start · Skill OS 2.0 · 1.0 vs 2.0 ·…

read the full yao-meta-skill overview →

More in Productivity & Utilities

Related comparisons

More Automation projects

Compare either of these against the rest of the Automation field.

Frequently asked questions

Is Vibe-Skills or yao-meta-skill more popular?

Vibe-Skills has 3,793 GitHub stars and yao-meta-skill has 2,718. Vibe-Skills has the larger community by that measure.

Are Vibe-Skills and yao-meta-skill free?

Both are open source. Vibe-Skills is licensed under Apache-2.0 and yao-meta-skill under MIT. Neither carries a licence fee.

What is the difference between Vibe-Skills and yao-meta-skill?

Vibe-Skills is written in Python and yao-meta-skill in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Vibe-Skills or yao-meta-skill?

Choose Vibe-Skills if you want the larger community (3,793 stars) or its Apache-2.0 licence terms. Choose yao-meta-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.