LLM Wiki Knowledge Graph
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
Generates a comprehensive learning graph from a course description, including 300-600 concepts with dependencies, taxonomy categorization, and quality validation reports.
Install Learning Graph Generator
$ npx skills add dmccreary/ibook-skills --skill learning-graph-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dmccreary/ibook-skills learning-graph-generator --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/dmccreary/ibook-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learning-graph-generator .claude/skills/learning-graph-generator && 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 "learning-graph-generator" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/learning-graph-generator into .claude/skills/learning-graph-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-graph-generator", 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/dmccreary/ibook-skills/tree/main/skills/learning-graph-generatorType 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 dmccreary/ibook-skills --skill learning-graph-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dmccreary/ibook-skills learning-graph-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/learning-graph-generator .agents/skills/learning-graph-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learning-graph-generator" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/learning-graph-generator into .agents/skills/learning-graph-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-graph-generator", 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 dmccreary/ibook-skills --skill learning-graph-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dmccreary/ibook-skills learning-graph-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/learning-graph-generator .cursor/skills/learning-graph-generator && 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 "learning-graph-generator" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/learning-graph-generator into .cursor/skills/learning-graph-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-graph-generator", 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/dmccreary/ibook-skills.git --path skills/learning-graph-generator--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 dmccreary/ibook-skills --skill learning-graph-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dmccreary/ibook-skills learning-graph-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/learning-graph-generator .gemini/skills/learning-graph-generator && 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 "learning-graph-generator" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/learning-graph-generator into .gemini/skills/learning-graph-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-graph-generator", 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 dmccreary/ibook-skills learning-graph-generatorInstalls 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 dmccreary/ibook-skills --skill learning-graph-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/learning-graph-generator .github/skills/learning-graph-generator && 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 "learning-graph-generator" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/learning-graph-generator into .github/skills/learning-graph-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-graph-generator", 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 dmccreary/ibook-skills --skill learning-graph-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dmccreary/ibook-skills learning-graph-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/learning-graph-generator .opencode/skills/learning-graph-generator && 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 "learning-graph-generator" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/learning-graph-generator into .opencode/skills/learning-graph-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-graph-generator", 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
learning-graph-generator- GitHub stars
- 105
- Token cost
- ~6.7k tokens
- SKILL.md length
- 3,301 words
- Files
- 12
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- None found
At a glance
Generates a comprehensive learning graph from a course description, including 300-600 concepts with dependencies, taxonomy categorization, and quality validation reports.
- Works in 12 steps: Setup → Course Description Quality Assessment → Generate Concept Labels → …
- Wants to create a structured knowledge graph for educational content
- SKILL.md covers Markdown Generation Rules, Mkdocs Navigation Rules, Step 0: Setup and Step 1: Course Description…, plus 14 more sections
- Runs Python and Shell scripts from its folder; calls python and git; reaches github.com and raw.githubusercontent.com
What it does
Learning Graph Generator is an agent skill from dmccreary/ibook-skills. Generates a comprehensive learning graph from a course description, including 300-600 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
Its SKILL.md is about 6.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files (for example `README.md`, `add-taxonomy.py` and `analyze-graph.py`).
It sits in Knowledge Management, covering Educational content and Knowledge graphs.
When your agent uses it
- Wants to create a structured knowledge graph for educational content
- Tasks that involve Educational content
- Tasks that involve Knowledge graphs
Example prompts
- “Use the learning-graph-generator skill to generate a comprehensive learning graph from a course description, including 300-600 concepts with…”
- “/learning-graph-generator”
Requirements
- Python 3
- A Bash shell
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- Setup
- Course Description Quality Assessment
- Generate Concept Labels
- Generate Dependency Graph
- Learning Graph Quality Validation
- Create Concept Taxonomy
- Add Taxonomy to CSV
- Create the metadata section of the learning-graph.json file
- Create the groups section of the JSON file
- Generate the Complete Learning Graph JSON
- Taxonomy Distribution Report
- Create new index.md from index-template.md
What it can do on your machine
Read from SKILL.md and the folder at commit 6789126. 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
Ships script files (Python and Shell), which the agent can run.
Shell commands in SKILL.md call:
pythongit
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.comraw.githubusercontent.com
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
Learning Graph Generator loads about 6.7k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 3,301 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 3,301 words (~6,725 tokens).
- name
- learning-graph-generator
- metadata.ibook.version
- 1.07
Files
SKILL.md and 11 other files in skills/learning-graph-generator of dmccreary/ibook-skills.
- SKILL.md
- README.md
- add-taxonomy.py
- analyze-graph.py
- csv-to-json.py
- index-template.md
- learning-graph-schema.json
- taxonomy-distribution.py
- test-learning-graph.csv
- validate-learning-graph.py
- validate-learning-graph.sh
- vis-network-json-format.md
Open the folder on GitHubat commit 6789126
Compare with similar skills
Learning Graph Generator 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 |
|---|---|---|---|---|---|---|
| Learning Graph Generator this skilldmccreary/ibook-skills | 105 | — | ~6.7k | Automated safety check: Pass | None | |
| LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Ontology1mancompany/OneManCompany | 440 | 2 repos | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Graphagenticnotetaking/arscontexta | 3.5k | 1 repos | ~4.9k | Automated safety check: Notes | MIT | |
| Obsidian Canvas BoardsAgriciDaniel/claude-obsidian | 15k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Knowledge Graphgnomeria/usbtree | 690 | — | ~1.5k | Automated safety check: Pass | MIT |
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Ontology
1mancompany/OneManCompany
Typed knowledge graph for structured agent memory and composable skills.
Graph
agenticnotetaking/arscontexta
Interactive knowledge graph analysis. An agent skill from agenticnotetaking/arscontexta.
Obsidian Canvas Boards
AgriciDaniel/claude-obsidian
Creates, inspects and updates Obsidian JSON Canvas boards in a vault, with text, file, link, group and edge nodes, using safe recoverable edits.
Knowledge Graph
gnomeria/usbtree
Set up and maintain a lightweight, file-based knowledge graph of the repo — entities, typed relations, decisions, gotchas — so agents load context fast instead of re-exploring the codebase every…
Stats
agenticnotetaking/arscontexta
Show vault statistics and knowledge graph metrics. An agent skill from agenticnotetaking/arscontexta.
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Questions about Learning Graph Generator
What does Learning Graph Generator do?
Generates a comprehensive learning graph from a course description, including 300-600 concepts with dependencies, taxonomy categorization, and quality validation reports. Learning Graph Generator is an agent skill from dmccreary/ibook-skills. Generates a comprehensive learning graph from a course description, including 300-600 concepts with dependencies, taxonomy categorization, and quality validation reports.
When should I use Learning Graph Generator?
Learning Graph Generator fits situations like: wants to create a structured knowledge graph for educational content; tasks that involve Educational content; tasks that involve Knowledge graphs.
How do I install Learning Graph Generator in Claude Code?
Run `npx skills add dmccreary/ibook-skills --skill learning-graph-generator -a claude-code`. Or copy the skill folder (skills/learning-graph-generator in dmccreary/ibook-skills) into .claude/skills/learning-graph-generator in your project. Claude Code loads it when a task matches its description.
How do I install Learning Graph Generator in Codex?
Run `npx skills add dmccreary/ibook-skills --skill learning-graph-generator -a codex`. Or copy the skill folder (skills/learning-graph-generator in dmccreary/ibook-skills) into .agents/skills/learning-graph-generator in your project. Codex loads it when a task matches its description.
Can I use Learning Graph Generator 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 dmccreary/ibook-skills --skill learning-graph-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-graph-generator, .gemini/skills/learning-graph-generator, .github/skills/learning-graph-generator and .opencode/skills/learning-graph-generator in your project.
What does Learning Graph Generator need to run?
Going by SKILL.md and its folder, Learning Graph Generator needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (python and git). Our summary lists: Python 3; A Bash shell.
Does Learning Graph Generator access the network?
SKILL.md names 2 domains. In commands or code: github.com and raw.githubusercontent.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Learning Graph Generator 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 Learning Graph Generator use?
No licence was found for Learning Graph Generator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Learning Graph Generator use?
About 6.7k tokens (SKILL.md is roughly 27k 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 Learning Graph Generator?
Skills that share tags, products or a category with Learning Graph Generator: LLM Wiki Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars), Ontology (1mancompany/OneManCompany, 440 stars), Graph (agenticnotetaking/arscontexta, 3.5k stars) and Obsidian Canvas Boards (AgriciDaniel/claude-obsidian, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learning Graph Generator?
dmccreary (a GitHub user) maintains it in dmccreary/ibook-skills, which has 105 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 7, 2026.
Source: dmccreary/ibook-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.