Pro ChatGPT GPTs Claude Code Cursor

torch-geometric

Guide for building Graph Neural Networks with PyTorch Geometric (PyG). Use this skill whenever the user asks about graph neural networks, GNNs, node classification, link prediction, graph classification, message passing networks, heterogeneous graphs, neighbor sampling, or any task involving torch_geometric / PyG. Also trigger when you see imports from torch_geometric, or the user mentions graph convolutions (GCN, GAT, GraphSAGE, GIN), graph data structures, or working with relational/network data. Even if the user just says 'graph learning' or 'geometric deep learning', use this skill.

0 downloads 0 views Updated Oct 31, 2026 v1.0.0

Overview

System prompt

Preview redacted

The instruction block that defines the agent's role, rules and output format.

system-prompt.txt

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User prompt template

Fill in the variables and send it to run the skill: {{variables}}

user-template.txt

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Variables

Name	Required	Description	Example

Full skill configuration

Redacted preview

The standard .aiskill file in JSON and YAML.

torch-geometric.aiskill (JSON)

{
  "format": "aiskill/v1",
  "skill": {
    "name": "torch-geometric",
    "slug": "torch-geometric",
    "version": "1.0.0",
    "description": "Guide for building Graph Neural Networks with PyTorch Geometric (PyG). Use this skill whenever the user asks about graph neural networks, GNNs, node classification, link prediction, graph classification, message passing networks, heterogeneous graphs, neighbor sampling, or any task involving torch_geometric / PyG. Also trigger when you see imports from torch_geometric, or the user mentions graph convolutions (GCN, GAT, GraphSAGE, GIN), graph data structures, or working with relational/network data. Even if the user just says 'graph learning' or 'geometric deep learning', use this skill.",
    "category": "Research",
    "tags": [
      "research-science"
    ],
    "platforms": [
      "chatgpt",
      "claude-code",
      "cursor"
    ],
    "tested_environment": "Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and compatible agents",
    "license": "MIT"
  },
  "prompts": {
    "system": "████████████████████████████████████████████████████████████████████████████████████████████████",
    "user_template": "██████████"
  },
  "variables": [],
  "install": {
    "steps": [
      {
        "title": "Download & unzip",
        "detail": "Download the .zip package from SkillVault and unzip it. The torch-geometric/ folder contains SKILL.md plus any companion scripts, references and assets."
      },
      {
        "title": "Copy into your agent skills directory",
        "detail": "Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session."
      },
      {
        "title": "Use it",
        "detail": "Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description."
      }
    ]
  },
  "usage": {
    "steps": []
  },
  "metadata": {
    "author": "SkillVault",
    "source": "https://skillvault.top/skills/torch-geometric",
    "exported_at": "2026-11-03T07:42:45.278Z"
  }
}

torch-geometric.aiskill (YAML)

format: aiskill/v1
skill:
  name: torch-geometric
  slug: torch-geometric
  version: 1.0.0
  description: >-
    Guide for building Graph Neural Networks with PyTorch Geometric (PyG). Use this skill whenever
    the user asks about graph neural networks, GNNs, node classification, link prediction, graph
    classification, message passing networks, heterogeneous graphs, neighbor sampling, or any task
    involving torch_geometric / PyG. Also trigger when you see imports from torch_geometric, or the
    user mentions graph convolutions (GCN, GAT, GraphSAGE, GIN), graph data structures, or working
    with relational/network data. Even if the user just says 'graph learning' or 'geometric deep
    learning', use this skill.
  category: Research
  tags:
    - research-science
  platforms:
    - chatgpt
    - claude-code
    - cursor
  tested_environment: >-
    Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and
    compatible agents
  license: MIT
prompts:
  system: ████████████████████████████████████████████████████████████████████████████████████████████████
  user_template: ██████████
variables: []
install:
  steps:
    - title: Download & unzip
      detail: >-
        Download the .zip package from SkillVault and unzip it. The torch-geometric/ folder contains
        SKILL.md plus any companion scripts, references and assets.
    - title: Copy into your agent skills directory
      detail: >-
        Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code),
        .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or
        reload the session.
    - title: Use it
      detail: >-
        Describe the task in natural language; the agent loads the skill automatically when the
        request matches the skill description.
usage:
  steps: []
metadata:
  author: SkillVault
  source: https://skillvault.top/skills/torch-geometric
  exported_at: "2026-11-03T07:42:45.278Z"

Installation guide

1

Download & unzip

Download the .zip package from SkillVault and unzip it. The torch-geometric/ folder contains SKILL.md plus any companion scripts, references and assets.
2

Copy into your agent skills directory

Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session.
3

Use it

Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description.

How to use

Platform compatibility

ChatGPT GPTs

OpenAI

Paste the system prompt into the GPT "Instructions" field and keep the user template as your starter message.

Official docs

Claude Code

Anthropic

Save the exported .aiskill JSON as a skill file in your project or paste the system prompt into CLAUDE.md / a slash-command markdown file.

Official docs

Cursor

Anysphere

Copy the system prompt into .cursor/rules/*.mdc (or Project Rules in Settings) and reference the user template in your agent prompts.

Official docs

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