Code2Skill distills 19,769 repositories into verified agent skills

Grounded Skill Synthesis from Code at Scale (arXiv 2609.05571, Wed 9 Sep digest) presents Code2Skill, a fully automated pipeline that turns selected code units into implementation-anchored records of atomic operations, composite workflows and recurring patterns, then verifies each record through source-body-blind reconstruction and source-aware comparison. Applied to 19,769 popular, actively maintained GitHub repositories, it produces a large verified skill library with no prior agent interaction with target environments — source code is the evidence base, unlike trajectory-based synthesis (needs environment interaction) or document-derived skills (no executable grounding).

This scales the skill-acquisition route Repo-To-Skill opened: code is the largest self-verification-ready corpus an enterprise already owns, and the reconstruction check gives each skill an executable grounding test. Paired with the subagent-execution finding (ev-20260911-03), the emerging recipe is: mine code, verify by reconstruction, execute as subagents.