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victorjiang0513/storm_learning

A Codex skill implementing the STORM 10-step learning method for systematic study of any topic: multi-perspective research, contradiction mapping, learning ladder, active recall testing, Feynman cycle, and one-page cheat sheet.

What is storm_learning?

This skill, victorjiang0513/storm_learning, implements the STORM 10-step learning method as an AI agent skill, designed to facilitate deep, systematic learning on any subject. It guides users through a structured process that includes gathering multi-perspective research, building contradiction maps to identify knowledge gaps, constructing a learning ladder from basics to advanced concepts, conducting active recall tests for retention, applying the Feynman technique to simplify complex ideas, and creating a one-page cheat sheet for quick reference. The skill is built for Codex but its methodology is platform-agnostic, beneficial for developers, students, or lifelong learners using AI assistants. By following these steps, users can move from surface-level understanding to mastery, ensuring efficient and comprehensive learning with practical, actionable outputs.

Works with~Claude Code✓Codex CLI~Cursor
npx skills add victorjiang0513/storm_learning

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What does storm_learning do?

STORM 十步学习法 Codex skill,用于系统学习任意主题:多视角调研、矛盾图谱、学习阶梯、主动回忆测试、费曼循环和一页速查表。

STORM 是一种系统化的学习方法,旨在帮助用户深入理解并掌握任意主题。该技能将学习过程分解为十个清晰的步骤,涵盖从初步探索到最终巩固的完整路径。

主要步骤

  1. 主题定义:明确学习目标与范围。
  2. 多视角调研:从不同来源(文档、教程、论文等)收集观点。
  3. 矛盾图谱:识别并可视化不同观点间的矛盾点。
  4. 学习阶梯:按难度递进构建知识层级(基础→中级→高级)。
  5. 概念拆解:分解复杂概念为可理解的核心元素。
  6. 主动回忆测试:通过提问与回答强化记忆。
  7. 费曼循环:用简洁语言解释概念,发现并填补知识空白。
  8. 实践应用:通过练习或项目应用所学。
  9. 知识整合:将新知识融入现有知识网络。
  10. 一页速查表:总结关键信息为简洁参考。

使用方式

直接在 Codex 中激活该技能,并指定要学习的主题。技能将逐步引导你完成上述流程。

平台支持

  • 主要针对 Codex 设计。
  • 方法可迁移至其他 AI 助手或人工学习流程。

注意事项

  • 建议按顺序执行步骤。
  • 对矛盾图谱和费曼循环要投入足够时间,这是深入理解的关键。
  • 最终产出的一页速查表可作为长期参考。

更多信息,请参考技能原始文档或社区讨论。

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