learn-prototype SKILL.md skillA
learn-prototype from li-evan/bloom is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add li-evan/bloom/learn-prototype@git:20260602.38b4fc8Pins git:20260602.38b4fc8 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- li-evan/bloom
- Path
skills/learn-prototype/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260602.38b4fc8, committed Jun 2, 2026
- Size
- 2,860 bytes
- Repository stars
- 302
- License
- MIT
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。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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-occam` `learn-crossover` `learn-graph` `learn-feynman`。
Read the whole file at its exact version.
How to install
mdr add li-evan/bloom/learn-prototype@sha256:a4f55f2f0f2b69f3The line at the top of this page pins the label git:20260602.38b4fc8, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nfu5t6z4rzehbykf)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 2, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2860 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
li-evan/bloom · 302 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nfu5t6z4rzehbykf GET https://markdownregistry.com/api/v1/resolve?ref=li-evan/bloom/learn-prototype GET https://markdownregistry.com/api/v1/blob/a4f55f2f0f2b69f39a999edb6724af617f27188352f01056f591e658a05e66db
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.