torch-geometric
Compatibility alias for the underscore PyG skill name. Delegate to the canonical local `torch-geometric` payload while preserving route compatibility.
Best use case
torch-geometric is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Compatibility alias for the underscore PyG skill name. Delegate to the canonical local `torch-geometric` payload while preserving route compatibility.
Teams using torch-geometric should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/torch_geometric/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How torch-geometric Compares
| Feature / Agent | torch-geometric | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Compatibility alias for the underscore PyG skill name. Delegate to the canonical local `torch-geometric` payload while preserving route compatibility.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# torch_geometric (Compatibility Alias) ## Purpose Provide a stable underscore-form alias for PyTorch Geometric workflows that are canonically maintained under the sibling `torch-geometric` skill directory. This preserves: - route compatibility for callers using `torch_geometric` - existing `skills-lock` and pack-manifest entries - a thin alias surface instead of a second full payload copy ## Resolution Order 1. Use the canonical local `torch-geometric` skill payload first. 2. Reuse the canonical supporting files: - `../torch-geometric/SKILL.md` - `../torch-geometric/references/**` - `../torch-geometric/scripts/**` 3. Keep this alias directory thin and free of duplicated heavy assets. ## Minimal Workflow 1. Read `../torch-geometric/SKILL.md` for the full PyG guidance. 2. Use the canonical reference and helper scripts from `../torch-geometric/`. 3. Report under `torch_geometric` only when a caller or route explicitly requested that alias.
Related Skills
torchdrug
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.
pytorch-lightning
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
zarr-python
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
yeet
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
xlsx
Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.
xan
High-performance CSV processing with xan CLI for large tabular datasets, streaming transformations, and low-memory pipelines.
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
writing-docs
Guides for writing and editing Remotion documentation. Use when adding docs pages, editing MDX files in packages/docs, or writing documentation content.
windows-hook-debugging
Windows环境下Claude Code插件Hook执行错误的诊断与修复。当遇到hook error、cannot execute binary file、.sh regex误匹配、WSL/Git Bash冲突时使用。
weights-and-biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
webthinker-deep-research
Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).