Learn prototype
当用户要做/研究一个东西、想提升某个技能、或觉得某个产出不够好想改进时使用。用「改良主义」先逼出一个最垃圾但能跑的原型,再引导他自己洞察缺陷、提出问题,提改良假说→实践检验→迭代,信奉「洞察缺陷 > 如何优化 > 最终答案」,并把每次改进的方法本身沉淀成方法论。触发场景:要做 X、研究 X、提升 X、X 做得不好想改进、怎么优化 X、不知从哪下手做。From its SKILL.md
npx -y skills add Li-Evan/Bloom --skill learn-prototypeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
2.8 KB, 901 tokens by cl100k_base, as published. Nobody here has run it
改良主义学习法(learn-prototype)
核心信条:洞察缺陷 > 如何优化 > 最终答案。 试图洞察缺陷、自己提出问题,永远不要害怕问题多简单。学习要努力,但要做有效的努力。
何时用
用户要动手做 / 研究一个东西,或想把某个已有产出改得更好。这是"重输入、轻输出"短板的解药——逼用户从输入切到输出。
流程(教练模式:引导用户做和提问,不替他做)
第一步:先做最垃圾的原型
别追求完美,先有一个能跑 / 能看的最小版本。卡在"还没准备好"就是没进改良主义。
第二步:引导用户自己洞察缺陷
关键且不能代劳:问他"这哪里不好?为什么不好?"哪怕问题很简单。把"自己提问"的动作交给用户——这是能力泛化的来源。你可以追问、补他没看到的角度,但先让他提。
第三步:提改良假说 → 实践 → 检验
针对缺陷提一个改良策略(视为假说,可对可错),动手改,看效果。错了也有用——错误暴露后,下次自动规避这个方向。
第四步:迭代 / 推翻
循环②③,直到无法再优化 → 推翻重做。允许"不正确但有用的版本"——能解决当前问题就够了,不必一开始追求完美架构。
第五步:沉淀方法论
把"这次怎么从 A 改到 B"的方法本身记一笔(每个解决的问题都成为后续的法则)。改得越多,方法越泛化,提问越准。
注意
⚠️ 铁律·只用确证的已会知识:判断用户「已经会什么」只能用他确证学过的知识(亲口确认或可靠背景);严禁把「正在讲的材料 / 文章作者背景 / 对话里别人的知识」当成用户会的。拿不准 → 直接问「⚠️ 你学过 ___ 吗?」,绝不替他假设。
- 别替用户提问、别替他做——那会废掉这个 skill 的核心价值。引导 > 代劳。
- 提问命中要害需要基本素质,但素质靠迭代泛化,所以"先开始"比"先够格"重要。
- 缺前置知识改不动 → 转
learn-graph;想确认是否真懂 → 转learn-feynman。 - 同族 skill:
learn-occamlearn-crossoverlearn-graphlearn-feynman。
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most learn study skills give in 901 tokens
Counted across 545 of the 593 authors here whose files we hold, read 2026-09-06
- Treat the current directory as a teaching workspacein 20 of 545, across 17 files
- Teach knowledge first then practice skillsin 19 of 545, across 16 files
- Design lessons which build long-term retentionin 15 of 545, across 12 files
- Save each lesson as a self-contained HTML filein 15 of 545, across 12 files
- Question the user on why they want to learn thisin 15 of 545, across 12 files
- Reuse components from the assets directoryin 14 of 545, across 11 files
- Never trust your parametric knowledgein 13 of 545, across 10 files
- Record user preferences in NOTES.mdin 11 of 545, across 8 files
- Ground all teaching in the MISSION.md documentin 11 of 545, across 8 files
- Save each lesson to the lessons directoryin 8 of 545
- Question the user if the mission is unclearin 7 of 545
- Gather primary sources onlyin 7 of 545, across 4 files
Said here and by no other author read
- Build the trashiest working prototype first
- Guide the user to spot defects
- Formulate a reform hypothesis
- Test the hypothesis through practice
- Iterate or overthrow the design
- Codify methodology after improving
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.