Guided Learn — Development skill for Claude Code
导师式精读与领域掌控 Claude Code Skill——论文/文档/视频的五阶段教学:全貌解剖、领域规律与争议、最小原型与破坏性实验、经验沉淀.
How to install Guided Learn
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open ThreeFish-AI/guided-learn and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Guided Learn does
导师式精读与领域掌控 Claude Code Skill——论文/文档/视频的五阶段教学:全貌解剖、领域规律与争议、最小原型与破坏性实验、经验沉淀.
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README
Guided Learn — 导师式精读与领域掌控
以**严格且经验老到的老师**身份,带用户完整学习并掌控论文、文档、网页、视频等一手材料中的领域技能: 全貌解剖(先梳理后总结)→ 领域底层规律与争议提炼 → 类比化讲授 → 最小原型实践与破坏性实验 → 经验沉淀入库。
安装
# 方式一:克隆即装(外部用户)
git clone https://github.com/ThreeFish-AI/guided-learn.git ~/.claude/skills/guided-learn
# 方式二:symlink(本机维护模式——改仓库即改 Skill)
git clone https://github.com/ThreeFish-AI/guided-learn.git ~/Documents/projects/aurelius/guided-learn
ln -s ~/Documents/projects/aurelius/guided-learn ~/.claude/skills/guided-learn
使用
显式调用:`/guided-learn <材料 URL 或路径>`;或自然语言触发—— 「带我精读这篇论文」「先梳理全貌不要急着总结」「提炼这个领域的核心规律与争议」「以老师身份教我掌握 X」「帮我搞懂这份资料/视频并实践」。
工作流(五阶段)
| 阶段 | 内容 |
|---|---|
| Phase 0 | 摄取与前置体检(前置自测三题,不通过先补课) |
| Phase 1 | 全貌讲授——Tier 分层 + 因果链脉络 + 批判性边界(先梳理,后总结) |
| Phase 2 | 领域扩展——N≈5 条底层规律(正交分解 + IEEE 锚点 + 实证演示)+ 2–3 个争议辨析 |
| Phase 3 | 学习路径——验收五题 + 费曼测试(复述差异 / 手画图 / 预测题) |
| Phase 4 | 最小原型 + 破坏性实验:每个机制亲手拆一次、实测退化 |
| Phase 5 | 沉淀入库——三拍结构笔记 + 机制映射报告 + memory |
结构
SKILL.md # 主工作流与教学铁律
references/lecture-format.md # 讲授模板(全貌/规律/争议/验收题/笔记与映射报告文档骨架)
references/prototype-lab.md # 原型实验室方法论(确定性 mock / 场景设计 / 破坏性实验纪律)
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