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feynman-learning

An AI agent skill from THU-MAIC/OpenMAIC, scored 60 out of 100 by code.

60/ 100C

Code score by group

  • Spec20/20
  • Description15/20
  • Procedure7/15
  • Done criteria0/15
  • Resources7/10
  • Scripts5/8
  • Safety3/7
  • Upkeep3/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Turn any concept, lesson, slide deck, or source material into a Feynman learning cycle in which learners explain first, expose the smallest gap, rebuild the explanation through Socratic prompts, strip jargon, stress-test analogies, and transfer the idea to a new context. Use when the user asks for teach-back, learning by explaining, or a Feynman-style classroom. Do not use when the Feynman technique itself is merely the lesson topic or when study strategy should remain a parallel goal.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
THU-MAIC/OpenMAIC
Folder
skills/agent-runtime/feynman-learning
License
MIT
GitHub stars
43,363
SKILL.md lines
153
Other files
0

Add feynman-learning to your agent

npx skills add THU-MAIC/OpenMAIC --skill feynman-learning

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

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All skills in THU-MAIC/OpenMAIC

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.