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WikiSkill is a framework that co-evolves agent skills with a persistent knowledge base, consistently outperforming state-of-the-art methods and enabling effective skill transfer across models.
A Google paper discusses maintaining agent skills by separating raw execution traces from persistent knowledge in a wiki-like structure.
A self-improving meta-skill for AI coding agents that captures and persists learned knowledge across sessions, preventing the need to re-teach the agent each time. Works with Claude Code, Cursor, Codex, and other agents.