DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
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…
Install Learn Deep
$ npx skills add Li-Evan/Bloom --skill learn-deep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Li-Evan/Bloom learn-deep --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Li-Evan/Bloom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learn-deep .claude/skills/learn-deep && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "learn-deep" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-deep into .claude/skills/learn-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-deep", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Li-Evan/Bloom/tree/main/skills/learn-deepType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Li-Evan/Bloom --skill learn-deep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Li-Evan/Bloom learn-deep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Li-Evan/Bloom.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/learn-deep .agents/skills/learn-deep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learn-deep" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-deep into .agents/skills/learn-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-deep", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Li-Evan/Bloom --skill learn-deep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Li-Evan/Bloom learn-deep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Li-Evan/Bloom.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/learn-deep .cursor/skills/learn-deep && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "learn-deep" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-deep into .cursor/skills/learn-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-deep", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Li-Evan/Bloom.git --path skills/learn-deep--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Li-Evan/Bloom --skill learn-deep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Li-Evan/Bloom learn-deep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Li-Evan/Bloom.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/learn-deep .gemini/skills/learn-deep && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "learn-deep" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-deep into .gemini/skills/learn-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-deep", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Li-Evan/Bloom learn-deepInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Li-Evan/Bloom --skill learn-deep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Li-Evan/Bloom.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/learn-deep .github/skills/learn-deep && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "learn-deep" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-deep into .github/skills/learn-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-deep", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Li-Evan/Bloom --skill learn-deep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Li-Evan/Bloom learn-deep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Li-Evan/Bloom.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/learn-deep .opencode/skills/learn-deep && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "learn-deep" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-deep into .opencode/skills/learn-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-deep", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
learn-deep- GitHub stars
- 284
- Token cost
- ~434 tokens
- SKILL.md length
- 107 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Education work in your project
- SKILL.md covers 何时用, 开跑前, 五视角执行顺序（这个弧线最顺：先降门槛 → 定深度 →… and 注意
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Learn Deep is an agent skill from Li-Evan/Bloom. 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）。
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Education. The repository describes itself as: Hire a private AI tutor for anything — it reads how you actually learn and teaches the next lesson just for you. Bloom's 2-Sigma research as a Claude Code skill + self-hostable…. The licence is MIT.
When your agent uses it
- Education work in your project
Example prompts
- “/learn-deep”
What it can do on your machine
Read from SKILL.md and the folder at commit b391898. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Learn Deep loads about 434 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 107 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Li-Evan/Bloom at commit b391898, republished under its MIT licence (© Li-Evan). 107 words, ~434 tokens.
Download SKILL.mdSave it as
.claude/skills/learn-deep/SKILL.md (or your agent's skills folder).- name
- learn-deep
- description
- 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）。
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
⚠️ 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。
- 五视角各有侧重、严禁重复：crossover 撬动 / occam 只谈该学多深 / graph 只给地图 / prototype 只给动手路径 / feynman 只拷问。同一段内容不要讲五遍。
- 每个视角精炼——这是"全景扫一遍"，深入留给用户选完之后。宁短勿灌。
- 单视角细分入口（用户只要一个时用）：
learn-crossoverlearn-occamlearn-graphlearn-prototypelearn-feynman。
© Li-Evan, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/learn-deep of Li-Evan/Bloom.
Open the folder on GitHubat commit b391898
Compare with similar skills
Learn Deep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Learn Deep this skillLi-Evan/Bloom | 284 | — | ~434 | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Zhang Xuefeng Perspectivealchaincyf/zhangxuefeng-skill | 10k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 5 repos | ~3.6k | Automated safety check: Pass | MIT | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT |
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Questions about Learn Deep
What does Learn Deep do?
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 Deep is an agent skill from Li-Evan/Bloom.
When should I use Learn Deep?
Learn Deep fits situations like: education work in your project.
How do I install Learn Deep in Claude Code?
Run `npx skills add Li-Evan/Bloom --skill learn-deep -a claude-code`. Or copy the skill folder (skills/learn-deep in Li-Evan/Bloom) into .claude/skills/learn-deep in your project. Claude Code loads it when a task matches its description.
How do I install Learn Deep in Codex?
Run `npx skills add Li-Evan/Bloom --skill learn-deep -a codex`. Or copy the skill folder (skills/learn-deep in Li-Evan/Bloom) into .agents/skills/learn-deep in your project. Codex loads it when a task matches its description.
Can I use Learn Deep in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Li-Evan/Bloom --skill learn-deep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learn-deep, .gemini/skills/learn-deep, .github/skills/learn-deep and .opencode/skills/learn-deep in your project.
What does Learn Deep need to run?
SKILL.md names no scripts, command-line tools or credentials: Learn Deep is instructions for the agent only.
Does Learn Deep access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Learn Deep safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Learn Deep use?
Learn Deep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Learn Deep use?
About 434 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Learn Deep?
Skills that share tags, products or a category with Learn Deep: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), Zhang Xuefeng Perspective (alchaincyf/zhangxuefeng-skill, 10k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars) and AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learn Deep?
Li-Evan (a GitHub user) maintains it in Li-Evan/Bloom, which has 284 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 17, 2026.
Source: Li-Evan/Bloom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.