Developer builds chess coach with /teach skill
Developer Will Ness (@N3sOnline) demonstrated a custom integration using Matt Pocock's open-source /teach skill, equipping the AI agent with a chess engine and an API to retrieve his games. The personalized coaching assistant automatically fetches and analyzes his latest games to provide interactive feedback.
This experiment demonstrates the power of modular, composable AI agent skills that allow developers to easily orchestrate domain-specific APIs and tools.
- –**Composable AI Tools:** Using lightweight, purpose-built skills like /teach is a highly efficient alternative to monolithic agent frameworks.
- –**Personalized Education:** Combining real-time user data with domain-specific engines offers a powerful model for specialized, interactive educational AI.
- –**High Extensibility:** The project highlights how easily developers can construct custom workflows by hooking up standard tools to LLM interfaces.
DISCOVERED
1h ago
2026-06-11
PUBLISHED
2h ago
2026-06-11
RELEVANCE
AUTHOR
mattpocockuk