Repo-To-Skill distills GitHub repositories into verified agent skills

Repo-To-Skill (arXiv 2609.02749, Thu 3 Sep digest) distills the operational knowledge stored in repositories and papers into reusable, verified skills. The DisCo agent produces them in two forms: task-agnostic — yielding the AREX-Skill library of 5,000+ verified skills from 1,000 widely-used ML repositories, organized into 20 domains and 178 capability families — and task-oriented, generated for the task at hand. With a fixed GPT-5.5 backbone, test harness, and execution budget, skill-equipped agents score +134.3% on MLE-bench, +34.4% on PaperBench, +9.2% on FrontierCS, and +14.0% on PassNet.

The skills direction (Claude Skills, MCP tool libraries) gets its largest quantified result: a verified skill library multiplies agent capability at fixed model and execution budget — the gains come from knowledge, not scale. The task-agnostic library recipe applies directly to internal tooling: distill your own repos into skills once, reuse across agents.