Hi, I'd like to suggest a complementary direction for SwiftUI-Agent-Skill.
Project:
https://github.com/AMAP-ML/SkillClaw
Your repo provides expert SwiftUI guidance as an agent skill. SkillClaw focuses on a different adjacent problem that shows up once users accumulate many skills over time: duplicates, stale skills, and fragmented skill libraries across devices or agents.
Its role is a post-task skill evolution loop that deduplicates, merges, improves, and shares skills over time.
I think that makes it complementary to focused skill repositories rather than competitive with them.
Paper:
https://arxiv.org/abs/2604.08377
Hi, I'd like to suggest a complementary direction for
SwiftUI-Agent-Skill.Project:
https://github.com/AMAP-ML/SkillClaw
Your repo provides expert SwiftUI guidance as an agent skill. SkillClaw focuses on a different adjacent problem that shows up once users accumulate many skills over time: duplicates, stale skills, and fragmented skill libraries across devices or agents.
Its role is a post-task skill evolution loop that deduplicates, merges, improves, and shares skills over time.
I think that makes it complementary to focused skill repositories rather than competitive with them.
Paper:
https://arxiv.org/abs/2604.08377