by ECNU-ICALK · AI 工具 · ★ 394
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution English | 中文 AutoSkill is a practical implementation of Experience-driven Lifelong Learning (ELL). It learns from real interaction experience (dialogue + agents), automatically creates reusable Skills, and continuously evolves existing Skills through merge + version updates. News 2026-05-09: Added the installable AutoSkill Local Skill Manager () for maintaining local Agent Skill files after sessions, including reusable-experience triage, similar-skill search, and / / / decisions.
| Stars | 394 |
| Forks | 45 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 36.2/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-10 |
| Created | 2026-02-04 |
| Platforms | python |
| Est. Tokens | ~18629k |
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AutoSkill is AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution. It is categorized as a AI 工具 with 394 GitHub stars.
AutoSkill is primarily written in Python. It covers topics such as agent-skills, continual-learning, experience-driven-lifelong-learning.
You can find installation instructions and usage details in the AutoSkill GitHub repository at github.com/ECNU-ICALK/AutoSkill. The project has 394 stars and 45 forks, indicating an active community.