ИИ-агенты
superpowers
An agentic skills framework & software development methodology that works.
★ 294,9 тыс. звёздMIT
Смотреть руководство →yao-meta-skill — проект с открытым исходным кодом из категории «ИИ-агенты» от yaojingang (yaojingang/yao-meta-skill на GitHub). У него 2 688 звёзд на GitHub и 253 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 17 августа 2026.
YAO: rigorous engineering, evaluation, and governance for reusable agent skills.
Author the skill with YAO’s structure.
Apply the engineering standards.
Test skill quality systematically.
Approve, govern, and reuse anywhere.
Rigorous standards for skill authors.
Measure skill quality objectively.
Approval workflows for skills.
Skills that move across harnesses.
Build once, deploy to many agents.
Skills as automation building blocks.
Download the source and move into the project folder.
git clone https://github.com/yaojingang/yao-meta-skill.git
cd yao-meta-skillEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at yaojingang/yao-meta-skill with 253 forks.
Yes. MIT licensed.
Skills written once can run across different agent harnesses.
With the framework’s systematic quality tests.
Teams that ship and govern agent skills at scale.
An agentic skills framework & software development methodology that works.
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Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если yao-meta-skill вам не подходит.
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An agentic skills framework & software development methodology that works.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к yao-meta-skill — продолжайте изучать полку по обе стороны от него.
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Free Chinese AIGC course: prompting, agents, image, video, voice, open models.
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Python library for building multimodal language agents — VLM, video and mobile, fast to prototype and ship
Multi-agent court inspired by ancient China: specialized agents debate and decide.
Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.