The most valuable AI agent skills are buried in GitHub repos

Most agent skills people create are a rewrite of what the LLM already knows. Claude Code's skill-creator, "save this as a skill" at the end of a chat. These tools are easy to use, but the output rarely adds real capability. The LLM can already do what the skill describes. Skills become valuable when they encode procedural knowledge. Not facts. Not prompts. Procedures that someone found through debugging and iteration. That kind of knowledge is buried in open-source repositories on GitHub. In March 2026, a research team at East China Normal University proposed a 3-stage pipeline that extracts skills from OSS repos and converts them to standard SKILL.md format. Why writing skills by hand does not scale There are three ways to build agent skills. Manual creation by experts produces high quality. Anthropic adopted this approach officially. OpenAI Codex also supports SKILL.md compatibility. But it does not scale. Each skill requires domain knowledge and testing time. When an agent needs hun