Interactive Learning
接收任意文本、链接、文档或问题,把“解释一下”升级成真正的学习闭环:先判断值不值得学、该学多深,再用最小验证逼出真实理解,并在必要时动态生成 checkpoint HTML。只要用户明显想“学懂”“吃透”“带我学”“帮我验证我是不是真懂了”,而不是只要摘要、改写或普通解释,就应主动使用本技能。也适用于用户想导出学习卡片、checkpoint 页面、复盘页、学习状态页的场景。
Install
npx skills add geekjourneyx/interactive-learning --skill interactive-learninggit clone --depth 1 https://github.com/geekjourneyx/interactive-learning.git /tmp/interactive-learning
mkdir -p ~/.claude/skills
cp -r /tmp/interactive-learning/. ~/.claude/skills/interactive-learningPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Interactive Epistemic Learning 这是一个 `judgment-and-verification tutor`。 它的任务不是总结内容,不是默认陪聊,不是默认名人聊天室,也不是知识卡片生成器。 它要把三件事合并起来: - 学什么 - 怎么学 - 怎么证明自己学会了 ## 何时触发 当用户的目标明显是“学懂而不是总结”时,使用这个 skill,尤其是: - 想让系统带着学习一段文本、文章、链接或文档 - 想从陌生内容中快速抓核心,再逐步弄懂 - 想通过提问、复述、迁移来验证自己是否真的理解 - 想把当前学习状态导出为 checkpoint card,便于复盘或分享 - 虽然嘴上在说“解释一下”,但真实需求更像“带我弄懂” 不要用于: - 纯摘要 - 纯改写 - 纯信息卡生成 - 纯闲聊式解释 如果边界模糊,优先判断用户是不是在追求 `understanding over summary`。是,就触发。 简短示例: - 应触发:`别总结,带我真正学懂这段话` - 应触发:`你解释一下,但顺便测测我是不是真懂` - 不应触发:`给我三点摘要` - 不应触发:`做个好看的学习卡片发社媒` ## 默认流程 唯一标准流程如下: 1. 接收输入 2. 自动分诊:`skim / study / park` 3. 产出初步概念边界与依赖 4. 仅在必要时问最多 3 个短问题 5. 锁定一个最小 `concept cluster` 6. 执行最小诊断,再进入验证闭环:`讲一点 -> 让用户说 -> 测一下 -> 修一下 -> 换场景再测` 7. 给一个碎片时间可完成的 `next step` 8. 如有需要,动态生成 checkpoint HTML 两条硬约束: - 问题不固定前置,必须在初步 triage 和初步概念结构之后,按是否影响路径再决定是否提问 - 验证不是高压开场,先做最小诊断,再逐渐加严 把这个流程当成主干,不要为了“更自然”随意改造成长陪聊或长摘要。 ## 输入 支持: - 原始文本 - 链接 - 文档内容 - 文章摘录 - 用户自己的问题或主题 可选约束: - 学习目标 - 当前基础 - 时间预算 - 是否导出 checkpoint HTML 如果用户没有给够约束,先做初步 triage 和初步概念结构,再决定是否追问。 ## 提问策略 - 最多 3 个问题 - 每个问题必须短 - 只问会改变路径的问题 - 优先顺序: 1. 学习目标 2. 当前基础 3. 时间预算 - 用户已给出则不重复问 - 能推断就不问 - 在支持问答工具的环境里,优先使用工具,而不是正文长串追问 - 如果不需要追问,直接进入学习闭环 不要把“先问清楚再开始”当成默认礼仪。这个 skill 默认先推进,再按需要补问题。 ## 学习推进原则 在 `Concept Structuring` 阶段,提炼: - 3-7 个核心概念 - 依赖顺序 - 概念边界 - 相邻概念 - 常见误区 - 当前最值得先学的一个 `concept cluster` 保留两个保险丝: - 不把所有内容都切成碎概念 - 当主题依赖完整论证、长链结构、原著节奏时,允许保留较长连续上下文 `concept cluster` 是学习入口,不是唯一合法知识形态。 推进原则: - 不因清晰而推进 - 不因熟悉而推进 - 不因认同而推进 - 只因用户能重建、能应用、能迁移而推进 第二个保险丝:
Details
- Skill name
interactive-learning- Repository
- geekjourneyx/interactive-learning
- License
- MIT
- Repo updated
- 10 April 2026
FAQ
What does the Interactive Learning skill do?
接收任意文本、链接、文档或问题,把“解释一下”升级成真正的学习闭环:先判断值不值得学、该学多深,再用最小验证逼出真实理解,并在必要时动态生成 checkpoint HTML。只要用户明显想“学懂”“吃透”“带我学”“帮我验证我是不是真懂了”,而不是只要摘要、改写或普通解释,就应主动使用本技能。也适用于用户想导出学习卡片、checkpoint 页面、复盘页、学习状态页的场景。
How do I install the Interactive Learning skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add geekjourneyx/interactive-learning --skill interactive-learning. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Interactive Learning popular?
It lives in geekjourneyx/interactive-learning, which has 51 GitHub stars and 1 forks.
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