The authors developed SkillGym, a pipeline that turns written agent skills—step-by-step workflows normally supplied at inference time—into concrete tasks with code-based outcome checkers.
Verified workflow training gives language models reusable procedural skills
SkillGym converts human-written agent instructions into checked training tasks, enabling models to retain workflows even when the original skills are withheld.
Chinese Tech
Zhilong Ge · Yuting Shao · Yutao Yang · Yuxuan Cai · Jie Zhou · Kai Chen · +3 more
East China Normal University · Shanghai AI Laboratory
Research Digest··2 min read
Thread:Skill Selection for Agents
Ge et al.
Why this paper
From Shanghai AI Laboratory and East China Normal University · Part of Skill Selection for Agents, now 14 papers
In one line
SkillGym converts human-written agent skills into executable training environments, enabling LLMs to internalize procedural competence and beat larger models on real-world benchmarks.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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