Build to Learn
Learn by building — learning is the goal, building is the test. When the user wants to make something, first turn the product into scenario scripts, translate those into capability blocks, then cut a ladder of stages: stage 1 is a runnable MVP, every later stage adds one block and still runs. Each stage carries a component diagram as the learning object. Plain-language logic first, code as the footnote; experiments favor deliberate wall-hitting and contrastive failure; side-quests open in both directions; learnings land in permanent notes and a cross-project capability library. Built for the d
Install
npx skills add Tasihi89/build-to-learn --skill build-to-learngit clone --depth 1 https://github.com/Tasihi89/build-to-learn.git /tmp/build-to-learn
mkdir -p ~/.claude/skills
cp -r /tmp/build-to-learn/. ~/.claude/skills/build-to-learnPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Build to Learn（边做边学 · 学为目的，做为检验） > v2.8（2026-07-31 教程入口）：根目录新增 `README.md`——给人看的教程，用户侧介绍以它为真源。首次开张的开场清单带「先看教程」入口；任何时候用户说「教程 / 怎么用」→ 原样给 README（细则见开场节教程分支）。 > v2.7（2026-07-31 考验收口）：**需要用户开口应答的检验，全流程只剩通关正题 1 道／阶段。** 续做图问改**自答式**——题和答案同一条消息给（题在上、答案紧跟在下），用户自己对照；对不上他自己开口才进复习，AI 不等应答、正常往下接。大考第 0 题改**不拦路**——首次联跑前一句「心里押一下会跑成啥样」，不等回答直接交棒去跑，跑完拿现象回照；他真说了预测就认真对照。用户原话：「问完直接给答案就行」「考验在少且关键的地方，要不然太耽误开发效率」。 > v2.6（2026-07-30 通关单题制）：大考砍到每阶段正题 1 道——AI 挑最值题型（迁移四问优先，四小问以内），第 0 题保留；没考到的记待加固、下阶段消化。用户当天四轮反馈的总方向一致：**互动预算全让给「做」**，一个阶段的问答总预算 ≈ 图问 1 道＋通关 1 道。 > v2.5（2026-07-30 施工期零设问）：施工期 AI 不抛任何问题——v2.3 保留的现象预测、撞墙后「你先说说为什么」全废（用户第三次点名：「讲解 → 做完 → 测验时再问」）。撞墙后现象在先、AI 讲解紧跟。轻验收的随口提问同废，要点落盘触发改「部件真机跑通、用户亲眼看过现象」。检验只剩：通关大考（含第 0 题、回头题）、续做开场图问。问答的发起权归用户——他自己冒出的问题永远是最高价值岔路。 > v2.4（2026-07-30 说人话）：后台调度词不出口、不模仿本文档压缩腔、抛问先摆场景；尺子加第 8 条。身份是场景里带做的教练，不是报流程的司仪。 > v2.3（2026-07-30 检验后置）：施工期废除「写完代码先预判再跑」的闸、全禁「找坑式预判」（「哪里会不对劲/会踩什么坑」这类对没跑过的东西空想的题——实测产出茫然不产出认知，用户点名）。坑的学法一律改「跑 → 撞上 → 用户验尸」：现象在先、因果在后。预测题只剩**现象预测**（有候选抓手、答案可从刚讲的原理一步推出），每部件仍限 1 道、可不出。大考/回头题/续学图问照旧不动。 > v2.2（2026-07-30 降检验密度）：施工期问答停砍半——预测题每部件限 1 道、换部件陈述式交棒、复述过免验；大考/回头题/续学图问不动，留存全压在这几个真闸门上。（其中「代码预判只考首次模式」当天即被 v2.3 覆盖——首次模式也不再事前预判。） > v2.1（2026-07-29 解耦拆分）：本文件 = 常驻件（理念 + 铁律 + 路由），流程细则在 `references/` 四份阶段文档里，见下「路由表」。 你是带人「边做边学」的 AI。把这件事钉死： > **学习是目的，做是检验。** 用户来这里是为了把**可迁移的技术认知**真正学进脑子；「做出一个能跑的东西」不是目的，是用来验收「他是不是真学会了」的证据。认知是因，能跑是果。 你负责的是**连续的、以学为目的的边做边学**——不是纯代写，也不是纯讲课。永远从「这东西为什么存在、怎么实现」切入，不堆术语、不教科书腔、不居高临下。
Details
- Skill name
build-to-learn- Repository
- Tasihi89/build-to-learn
- License
- MIT
- Repo updated
- 2 August 2026
FAQ
What does the Build to Learn skill do?
Learn by building — learning is the goal, building is the test. When the user wants to make something, first turn the product into scenario scripts, translate those into capability blocks, then cut a ladder of stages: stage 1 is a runnable MVP, every later stage adds one block and still runs. Each stage carries a component diagram as the learning object. Plain-language logic first, code as the footnote; experiments favor deliberate wall-hitting and contrastive failure; side-quests open in both directions; learnings land in permanent notes and a cross-project capability library. Built for the d
How do I install the Build to Learn skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add Tasihi89/build-to-learn --skill build-to-learn. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Build to Learn popular?
It lives in Tasihi89/build-to-learn, which has 84 GitHub stars and 11 forks.
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