Hi, I'd like to suggest a complementary direction for openclaw-studio.
Project:
https://github.com/AMAP-ML/SkillClaw
A dashboard like openclaw-studio improves the operator experience around OpenClaw. SkillClaw focuses on a different problem that appears over long-lived usage: skill libraries become duplicated, stale, and fragmented.
Its role is a post-task skill evolution loop that deduplicates, merges, improves, and shares skills across agents/devices/teams.
I think the two directions are complementary: better studio UX plus better long-term skill governance behind the scenes.
Paper:
https://arxiv.org/abs/2604.08377
Hi, I'd like to suggest a complementary direction for
openclaw-studio.Project:
https://github.com/AMAP-ML/SkillClaw
A dashboard like
openclaw-studioimproves the operator experience around OpenClaw. SkillClaw focuses on a different problem that appears over long-lived usage: skill libraries become duplicated, stale, and fragmented.Its role is a post-task skill evolution loop that deduplicates, merges, improves, and shares skills across agents/devices/teams.
I think the two directions are complementary: better studio UX plus better long-term skill governance behind the scenes.
Paper:
https://arxiv.org/abs/2604.08377