Skiller is an open-source tool that gives AI coding agents persistent memory by capturing significant discoveries—like debugging breakthroughs or complex fixes—during coding sessions. It stores these insights as structured markdown “skills,” which agents automatically load in similar situations, ensuring solutions are reused efficiently. Skiller requires minimal setup: just add it to your repository alongside agents like GitHub Copilot or Cursor.
Say goodbye to repeating yourself and hello to an AI agent that actually remembers its hard-earned coding hacks—this tool turns your past debugging wins into future wins on autopilot! It’s like giving your AI a brain upgrade so you spend less time explaining and more time building.
Key features:
- 🧠 Saves and reuses non-obvious debugging techniques automatically
- 🔄 Builds up institutional memory across coding sessions
- 🤝 Shares learned skills implicitly with your whole team
- 🔧 Compatible with Claude Code, GitHub Copilot, Cursor, and other Agent Skills-enabled tools
This summary was generated by GitHub Copilot based on the project README.