Knowledge Graph Learning

Knowledge Graph Learning is an AI Engineering skill for Claude Code, published by Li-Evan in Bloom.

248 stars39 forkson Li-Evan/BloomAdded 2026/09/02+3% in starsRepository updated 2026/06/23

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Install in seconds

Install Knowledge Graph Learning

Copy Knowledge Graph Learning into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Li-Evan/Bloom/tree/main/skills/learn-graph ~/.claude/skills/learn-graph

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Li-Evan/Bloom.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/learn-graph/SKILL.md in Li-Evan/Bloom
Installs to: ~/.claude/skills/learn-graph
Collection: One of 7 skills cataloged from this repository
Category: AI Engineering — 2631 skills

What Knowledge Graph Learning does

Knowledge Graph Learning helps you build a concept-and-relationship map for a new field so you can learn it systematically. It is used when you need a starting point, a learning path, or a clear answer to how much is enough.

Knowledge Graph Learning is cataloged under AI Engineering on DirSkills. Knowledge Graph Learning comes from a repository tagged adaptive-learning, agent-skills, ai-agent, ai-tutor and bloom-2-sigma.

Documentation

README

Excerpt

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。

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Knowledge Graph Learning

What else does Li-Evan publish alongside Knowledge Graph Learning?
Knowledge Graph Learning is one of 7 skills that DirSkills catalogs from Li-Evan/Bloom, the repository it ships in. Its siblings there include Bloom Tutor, Cross-Learning and Feynman Learning. Each one is a separate skill with its own page in this directory, installs the same way Knowledge Graph Learning does, and is maintained by Li-Evan in that same repository. The rest of the collection is listed on the Li-Evan/Bloom page.
How does Knowledge Graph Learning compare to other AI Engineering skills?
Knowledge Graph Learning ranks #2318 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Knowledge Graph Learning against them. Open each page to compare what they document and how they install.