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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 次下载 0 次浏览 更新于 Oct 31, 2026 v1.0.0
torch-geometric skill cover

下方技能配置(提示词、变量、安装步骤)保留英文原文。.aiskill 文件直接面向 AI 智能体,统一使用英文以确保跨平台行为一致。

概述

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.

Source: https://github.com/DenDen047/claude-scientific-skills · MIT · © 2025 K-Dense Inc.

系统提示词

预览已脱敏

定义智能体角色、规则与输出格式的指令块。

system-prompt.txt 
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用户提示词模板

填充变量后发送,即可运行该技能: {{variables}}

user-template.txt 
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变量

名称 必填 说明 示例

完整技能配置

脱敏预览

标准 .aiskill 文件,提供 JSON 与 YAML 两种格式。

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": "2026-11-03T07:44:26.603Z"
  }
}
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: "2026-11-03T07:44:26.603Z"

安装指南

  1. 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. 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. 3

    Use it

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

使用方法

平台兼容性

ChatGPT GPTs

OpenAI

将系统提示词粘贴到 GPT 的「Instructions」字段,并把用户模板作为起始消息使用。

官方文档

Claude Code

Anthropic

将导出的 .aiskill JSON 保存为项目中的技能文件,或将系统提示词粘贴进 CLAUDE.md / 斜杠命令 Markdown 文件。

官方文档

Cursor

Anysphere

将系统提示词复制到 .cursor/rules/*.mdc(或设置中的 Project Rules),并在智能体提示词中引用用户模板。

官方文档

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