Hi, I'd like to suggest a complementary direction for Swift-Concurrency-Agent-Skill.
Project:
https://github.com/AMAP-ML/SkillClaw
Your repo provides focused expert guidance for Swift concurrency. SkillClaw focuses on an adjacent long-term problem: once many skills are used repeatedly, users end up with duplicates, stale skills, and fragmented skill libraries.
Its role is a post-task skill evolution loop that deduplicates, merges, improves, and shares skills across agents/devices/teams.
I think that makes it complementary to specialized skill repositories.
Paper:
https://arxiv.org/abs/2604.08377
Hi, I'd like to suggest a complementary direction for
Swift-Concurrency-Agent-Skill.Project:
https://github.com/AMAP-ML/SkillClaw
Your repo provides focused expert guidance for Swift concurrency. SkillClaw focuses on an adjacent long-term problem: once many skills are used repeatedly, users end up with duplicates, stale skills, and fragmented skill libraries.
Its role is a post-task skill evolution loop that deduplicates, merges, improves, and shares skills across agents/devices/teams.
I think that makes it complementary to specialized skill repositories.
Paper:
https://arxiv.org/abs/2604.08377