# Pytorch Docs

> Comprehensive reference documentation for Pytorch Docs.

- Skill: `knuckles-team/pytorch-docs` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add knuckles-team/pytorch-docs`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/pytorch-docs/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: Knuckles-Team (https://skillmd.com/u/knuckles-team)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/knuckles-team/pytorch-docs

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# Pytorch — Reference Skill-Graph

> Comprehensive reference documentation for Pytorch Docs.

| | |
|---|---|
| **Version** | 1.0.0 |
| **Files** | 1 (25 KB) |
| **Source types** | web |
| **Knowledge Graph** | ✅ ingested (domain `skillgraph:pytorch-docs`) |
| **Built** | June 16, 2026 |

**Sources:** [https://pytorch.org/docs/stable/index.html](https://pytorch.org/docs/stable/index.html)

## 🧭 How to use this skill-graph

This is a **full reference corpus for Pytorch** — a manual at your disposal. Treat it as ground truth: quote it, don't paraphrase from memory.

- **Look something up:** scan the Table of Contents (or `index.json` for a machine-readable map), open the specific `reference/…` file, quote it + link it.
- **Cross-cutting question:** this corpus is in the Knowledge Graph — `graph_search(query="…", mode="hybrid")` retrieves the right passages across all files at once (domain `skillgraph:pytorch-docs`). Prefer it for synthesis.
- **Stay grounded:** never invent APIs/flags — verify against the reference and cite the file. `sources.json` tracks provenance + freshness.

## 📚 Table of Contents

- [Docs Stable Index.Html](reference/docs_stable_index.html.md)

## 🔗 Knowledge Graph & Ontology

Ingested as a `SkillGraph` ontology object over domain `skillgraph:pytorch-docs`: it `CONTAINS` its Documents, `RELATES_TO` the Concepts it covers, and is `DERIVED_FROM` its sources. Discover overlap/related graphs via `ontology_interface(action='implementers', name='SkillGraph')` or `graph_search`.

