Hi, I'd like to suggest a complementary direction for skills.
Project:
https://github.com/AMAP-ML/SkillClaw
Your project focuses on official skills for common user and developer workflows.
SkillClaw is aimed at a different but adjacent gap: once users accumulate skills over many tasks, their long-lived skill libraries often become noisy, duplicated, stale, and fragmented across contexts.
Its role is a post-task skill evolution loop that:
- deduplicates overlapping skills
- merges related skills
- improves skill quality over time
- shares evolved skills across agents / devices / teams
So the fit here is not "another skill pack," but a lifecycle-management layer that sits behind repeated skill usage.
If useful, I can send a concise technical summary or a concrete workflow example.
Paper:
https://arxiv.org/abs/2604.08377
Hi, I'd like to suggest a complementary direction for
skills.Project:
https://github.com/AMAP-ML/SkillClaw
Your project focuses on official skills for common user and developer workflows.
SkillClaw is aimed at a different but adjacent gap: once users accumulate skills over many tasks, their long-lived skill libraries often become noisy, duplicated, stale, and fragmented across contexts.
Its role is a post-task skill evolution loop that:
So the fit here is not "another skill pack," but a lifecycle-management layer that sits behind repeated skill usage.
If useful, I can send a concise technical summary or a concrete workflow example.
Paper:
https://arxiv.org/abs/2604.08377