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.
当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。
Install Learn Graph
$ npx skills add Li-Evan/Bloom --skill learn-graph -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Li-Evan/Bloom learn-graph --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-graph .claude/skills/learn-graph && 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-graph" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-graph into .claude/skills/learn-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-graph", 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-graphType 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-graph -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Li-Evan/Bloom learn-graph --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-graph .agents/skills/learn-graph && 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-graph" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-graph into .agents/skills/learn-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-graph", 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-graph -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Li-Evan/Bloom learn-graph --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-graph .cursor/skills/learn-graph && 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-graph" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-graph into .cursor/skills/learn-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-graph", 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-graph--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-graph -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Li-Evan/Bloom learn-graph --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-graph .gemini/skills/learn-graph && 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-graph" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-graph into .gemini/skills/learn-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-graph", 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-graphInstalls 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-graph -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-graph .github/skills/learn-graph && 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-graph" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-graph into .github/skills/learn-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-graph", 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-graph -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-graph --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-graph .opencode/skills/learn-graph && 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-graph" agent skill from https://github.com/Li-Evan/Bloom/tree/main/skills/learn-graph into .opencode/skills/learn-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-graph", 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-graph- GitHub stars
- 282
- Token cost
- ~289 tokens
- SKILL.md length
- 55 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。
- Education work in your project
- SKILL.md covers 何时用, 流程（关键：和用户一起建，不是直接灌一张完整图） and 注意
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Learn Graph is an agent skill from Li-Evan/Bloom. 当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。
Its SKILL.md is about 290 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-graph”
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 Graph loads about 289 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 55 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). 55 words, ~289 tokens.
Download SKILL.mdSave it as
.claude/skills/learn-graph/SKILL.md (or your agent's skills folder).- name
- learn-graph
- description
- 当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。
知识图谱学习法（learn-graph）
核心信条：自己一步步建图谱的过程，本身就是最有效的学习——不要直接套用别人给的图谱。 绝大部分知识，都有一个从常识就能入门的点。
何时用
用户要系统进入一个新领域，或焦虑"学得不够系统 / 不知何时算够"。
流程（关键：和用户一起建，不是直接灌一张完整图）
第一步：锁定目标领域 X 和目的
用户为什么学 X？（接 learn-occam 的"既定问题"）目的决定图谱画到多细。
第二步：构建图谱——只抓三件事
概念/名称 · 用途 · 上下文关系（父子节点）：
- 子节点 = X 依托 / 基于什么；父节点 = X 服务于什么目标。
- 以提问引导用户一起填（自己建图才学得到），别一次性灌完。先给骨架，留节点让他补。
第三步：标注两个关键
- 复用价值：哪些节点父节点多（像 Python）→ 优先学，回报最高。
- 入门点：哪个节点"从常识就能入门"→ 学习路径的起点。
第四步：输出学习路径 + 颗粒度
从入门点出发、沿父子关系排一条有效路径。颗粒度按需自由切换（领域图 → 细分学科图）。"学到哪算够"= 覆盖到能解决第一步那个目的的节点即可，不必学满。
第五步：交接
- 拿不准某节点是不是缺前置知识 → 这正是图谱的强项，已在图上标出。
- 找到入门点要动手 → 转
learn-prototype（在图上找"最垃圾原型"的起点）。
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。
- 强调"自己建"：多用提问让用户参与，别炫一张完美的图。
- 同族 skill：
learn-occam(该不该学)learn-crossover(已会什么)learn-prototype(动手)learn-feynman(自查)。
© 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-graph of Li-Evan/Bloom.
Open the folder on GitHubat commit b391898
Compare with similar skills
Learn Graph 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 Graph this skillLi-Evan/Bloom | 282 | — | ~289 | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.3k | 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 | 65k | — | ~2k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT |
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Answers education and career questions in the voice of Zhang Xuefeng, looking up current employment and admissions data before giving a direct verdict.
Deep Reading Analyst
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Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems…
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Guides setup, classroom generation and secondary development for OpenMAIC, the multi-agent interactive classroom, one confirmed phase at a time.
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Related
Categories
Questions about Learn Graph
What does Learn Graph do?
当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。. Learn Graph is an agent skill from Li-Evan/Bloom.
When should I use Learn Graph?
Learn Graph fits situations like: education work in your project.
How do I install Learn Graph in Claude Code?
Run `npx skills add Li-Evan/Bloom --skill learn-graph -a claude-code`. Or copy the skill folder (skills/learn-graph in Li-Evan/Bloom) into .claude/skills/learn-graph in your project. Claude Code loads it when a task matches its description.
How do I install Learn Graph in Codex?
Run `npx skills add Li-Evan/Bloom --skill learn-graph -a codex`. Or copy the skill folder (skills/learn-graph in Li-Evan/Bloom) into .agents/skills/learn-graph in your project. Codex loads it when a task matches its description.
Can I use Learn Graph 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-graph -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-graph, .gemini/skills/learn-graph, .github/skills/learn-graph and .opencode/skills/learn-graph in your project.
What does Learn Graph need to run?
SKILL.md names no scripts, command-line tools or credentials: Learn Graph is instructions for the agent only.
Does Learn Graph 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 Graph 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 Graph use?
Learn Graph 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 Graph use?
About 289 tokens (SKILL.md is roughly 1.2k 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 Graph?
Skills that share tags, products or a category with Learn Graph: 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, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learn Graph?
Li-Evan (a GitHub user) maintains it in Li-Evan/Bloom, which has 282 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.