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Agent skill

Graph Modeler

by majiayu000 in majiayu000/claude-skill-registry

Convert problem descriptions into graph representations. An agent skill from majiayu000/claude-skill-registry.

MITAuto-check passed

Install Graph Modeler

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill graph-modeler -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry graph-modeler --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/graph-modeler .claude/skills/graph-modeler && rm -rf skills-src

Use ~/.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/

Facts

Skill name
graph-modeler
GitHub stars
666
Used in
1 other repo
Token cost
~490 tokens
SKILL.md length
96 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

Convert problem descriptions into graph representations. An agent skill from majiayu000/claude-skill-registry.

  • Works in 5 steps: Entity Identification: What… → Relationship Analysis: What connections… → Edge Properties: Directed? Weighted?… → …
  • SKILL.md covers Purpose, Capabilities, Target Processes and Graph Modeling Framework, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Graph Modeler is an agent skill from majiayu000/claude-skill-registry. Convert problem descriptions into graph representations

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

Example prompts

  • “/graph-modeler”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Grep, Glob

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Entity Identification: What objects/states become nodes?
  2. Relationship Analysis: What connections become edges?
  3. Edge Properties: Directed? Weighted? Capacities?
  4. Graph Properties: Special structure to exploit?
  5. Representation Choice: List vs matrix vs implicit?

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Grep
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    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

Graph Modeler loads about 490 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 96 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~490

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 majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 96 words, ~490 tokens.

Download SKILL.mdSave it as .claude/skills/graph-modeler/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
graph-modeler
description
Convert problem descriptions into graph representations
allowed-tools
Read, Write, Grep, Glob

Graph Modeler Skill

Purpose

Convert problem descriptions into appropriate graph representations, identifying entities as nodes and relationships as edges.

Capabilities

  • Entity-to-node mapping from problem text
  • Relationship-to-edge mapping
  • Graph property detection (bipartite, DAG, tree, etc.)
  • Suggest optimal representation (adjacency list vs matrix)
  • Generate graph visualization
  • Identify implicit graph structures

Target Processes

  • graph-modeling
  • shortest-path-algorithms
  • graph-traversal
  • advanced-graph-algorithms

Graph Modeling Framework

  1. Entity Identification: What objects/states become nodes?
  2. Relationship Analysis: What connections become edges?
  3. Edge Properties: Directed? Weighted? Capacities?
  4. Graph Properties: Special structure to exploit?
  5. Representation Choice: List vs matrix vs implicit?

Input Schema

json
{
  "type": "object",
  "properties": {
    "problemDescription": { "type": "string" },
    "constraints": { "type": "object" },
    "examples": { "type": "array" },
    "outputFormat": {
      "type": "string",
      "enum": ["analysis", "code", "visualization"]
    }
  },
  "required": ["problemDescription"]
}

Output Schema

json
{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "nodes": { "type": "object" },
    "edges": { "type": "object" },
    "properties": {
      "type": "object",
      "properties": {
        "directed": { "type": "boolean" },
        "weighted": { "type": "boolean" },
        "bipartite": { "type": "boolean" },
        "dag": { "type": "boolean" },
        "tree": { "type": "boolean" }
      }
    },
    "representation": { "type": "string" },
    "suggestedAlgorithms": { "type": "array" }
  },
  "required": ["success"]
}

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/analysis/graph-modeler of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Graph Modeler 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.

Graph Modeler compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Graph Modeler this skillmajiayu000/claude-skill-registry6661 repos~490Automated safety check: PassMIT
Add Model Descriptionsruvnet/ruflo74k1 repos~600Automated safety check: PassMIT
Cognee Custom Graph Modelstopoteretes/cognee32k—~2.5kAutomated safety check: PassApache-2.0
Convertremotion-dev/remotion62k—~247Automated safety check: PassCustom licence
OmniRoute Model Catalogdiegosouzapw/OmniRoute74k1 repos~589Automated safety check: PassMIT
Math Modeling Problem Analysisjihe520/MathModelAgent6.2k—~494Automated safety check: NotesNone

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Questions about Graph Modeler

What does Graph Modeler do?

Convert problem descriptions into graph representations. An agent skill from majiayu000/claude-skill-registry. Graph Modeler is an agent skill from majiayu000/claude-skill-registry.

How do I install Graph Modeler in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill graph-modeler -a claude-code`. Or copy the skill folder (skills/analysis/graph-modeler in majiayu000/claude-skill-registry) into .claude/skills/graph-modeler in your project. Claude Code loads it when a task matches its description.

How do I install Graph Modeler in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill graph-modeler -a codex`. Or copy the skill folder (skills/analysis/graph-modeler in majiayu000/claude-skill-registry) into .agents/skills/graph-modeler in your project. Codex loads it when a task matches its description.

Can I use Graph Modeler 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 majiayu000/claude-skill-registry --skill graph-modeler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graph-modeler, .gemini/skills/graph-modeler, .github/skills/graph-modeler and .opencode/skills/graph-modeler in your project.

What does Graph Modeler need to run?

SKILL.md names no scripts, command-line tools or credentials: Graph Modeler is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Grep, Glob.

Does Graph Modeler 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 Graph Modeler 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 Graph Modeler use?

Graph Modeler 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 Graph Modeler use?

About 490 tokens (SKILL.md is roughly 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 Graph Modeler?

Skills that share tags, products or a category with Graph Modeler: Add Model Descriptions (ruvnet/ruflo, 74k stars), Cognee Custom Graph Models (topoteretes/cognee, 32k stars), Convert (remotion-dev/remotion, 62k stars) and OmniRoute Model Catalog (diegosouzapw/OmniRoute, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Graph Modeler?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.