Procedural Knowledge

Procedural knowledge refers to the type of knowledge that is gained through practice and experience. It involves knowing how to do something rather than just knowing about it. In contrast to declarative knowledge which consists of factual information, procedural knowledge includes skills and abilities such as playing an instrument or solving mathematical problems.

Summary from Feynman Mathematics Address:

  • Richard Feynman discusses the role of mathematics in physics and contrasts it with genuine conceptual insight.
  • He uses the historical example of Mayan civilization to illustrate his points about procedural vs. conceptual understanding.

Key Points

  • Mathematics as a Tool: Feynman emphasizes that while mathematical

AI Agent Application

  • Bridging LLM Gaps: ai-agent-skills are designed to bridge the procedural knowledge gaps found in llms.
  • Standardization: These skills are becoming an open standard adopted by major AI coding platforms.
  • 2026 04 22 AI Agent Skills Bridging LLM Procedural Knowledge Gaps and Structure

Source Notes

  • 2026-04-12: [[lab-notes/2026-04-12-Feynman-Mathematics-as-a-Tool-Not-Understanding-Mayan-Example|Richard Feynman on - philosophy, Why question, Modern science and Mathematics.avi]]
  • 2026-04-22: [[lab-notes/2026-04-22-AI-Agent-Skills-Bridging-LLM-Procedural-Knowledge-Gaps-and-Structure|AI Agent Skills: Bridging LLM Procedural Knowledge Gaps and Structure]]