learn-deep SKILL.md skillA
learn-deep 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-deep@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-deep/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260602.38b4fc8, committed Jun 2, 2026
- Size
- 3,688 bytes
- Repository stars
- 302
- License
- MIT
用户学任何新概念/新技术/新理论的默认深度入口——一次性用五个视角把概念讲透并帮他选深入方向：crossover 用已会的撬动、occam 框定该学多深、graph 建知识地图、prototype 最小原型迭代、feynman 拷问检验。触发场景：我想学 X、理解 X、X 是什么、讲讲 X、搞懂 X、学一下 X、深入 X、给我讲讲 X。除非用户明确只要某一个视角（那时改用对应的单个 learn-* skill）。.
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
# 深度学习一个概念（learn-deep） > 把 `learn-crossover` / `learn-occam` / `learn-graph` / `learn-prototype` / `learn-feynman` 五个视角编排成一遍全景，给用户学任何概念的"一次扫透 + 选方向"。 ## 何时用 用户说"想学 / 理解 / 搞懂 / 讲讲一个概念 X"时——**这是默认入口**，一次跑完五视角，用户再选深入哪个。 **例外**：用户明确只要某一个角度（"用跨界讲""帮我建图谱""考考我"）→ 直接用对应的单个 `learn-*` skill，别全跑。 ## 开跑前 **先问清用户的背景**：学过哪些相关领域、做过什么、熟悉哪些工具 / 理论。后面 crossover / occam / graph 都要用到。只采纳用户亲口确认学过的。 ## 五视角执行顺序（这个弧线最顺：先降门槛 → 定深度 → 给地图 → 动手 → 验收） ### 1️⃣ crossover — 先用"你已经会一半"降门槛 抓住 X 的本质结构（剥术语），按三猜想给 🎁其实已学过 / 🔗结构同构（字段级对应表）/ 🧩可用已有知识解释，点出元知识。**先激发信心，再谈深入。** ### 2️⃣ occam — 框定"该学多深" 定位"既定问题"（学 X 解决什么）、现有知识够不够、X 的贬值速度与 ROI，给"够用就停 / 只学最小那块 / 值得深挖"的**深度边界**。不是劝退，是防止一上来过度钻。 ### 3️⃣ graph — 给一张地图，知道 X 在哪、学到哪算够 X 在所属领域的知识图谱骨架（概念/用途/父子节点），标复用价值最高的节点 + 从常识能入门的点，给学习路径。**引导用户补节点**（自己建图才学得到）。 ### 4️⃣ prototype — 给最小原型起点，把动手的球递给用户 给"最垃圾但能跑的原型"起点 + 引导式提问（让用户自己洞察缺陷），预告会撞到的坑。**不替他做。** ### 5️⃣ feynman — 抛 2–4 个直击盲点的问题验收 让用户用自己的话答，答不顺处 = 没真懂的洞。最后一个问题尽量打在 X 的根本局限上（真懂的试金石）。 ### 6️⃣ 收尾：选方向 **明确推荐往哪 1–2 个方向深入**（综合 occam 的 ROI 判断 + 用户的目标 + 哪个视角最戳中他），并指出对应该接哪个单 skill（要动手→`learn-prototype`，要验收→`learn-feynman`）。 ## 注意 …
Read the whole file at its exact version.
How to install
mdr add li-evan/bloom/learn-deep@sha256:351c1daa567730ccThe 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_2ei37bev5me5cxac)
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 (3688 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_2ei37bev5me5cxac GET https://markdownregistry.com/api/v1/resolve?ref=li-evan/bloom/learn-deep GET https://markdownregistry.com/api/v1/blob/351c1daa567730cca8eb21c29e657e0d1a8694d0a6806317329a95396de838c7
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.