pytorch-test-refactoring
Skill2 starsChanged 25 days agoNo licenceView on GitHub
Orchestrate PyTorch test file refactoring to decouple tests from specific hardware accelerators. Use this skill whenever the user asks to refactor, decouple, or reorganize a PyTorch test file for cross-accelerator compatibility, or when they ask to apply the test decoupling workflow to a specific test file. Triggers on phrases like "refactor test_ops.py", "decouple tests in test_file.py", "apply test decoupling to X", or "use pytorch-test-refactoring on X". Also triggers on CI monitoring phrases like "look after the ci", "monitor ci", "check ci status", "watch the pr checks", or "debug ci failures". Always invoke this skill before starting any test refactoring work that involves splitting tests into CPU-only, device-agnostic, and device-specific classes.
In this repository12 other files it gives its agents.
- AGENTS.mdAGENTS.md
- pytorch-test-refactoring/CLAUDE.mdCLAUDE.md
- context7-mcpSkill
- deepwikiSkill
- gh-github-cliSkill
- humanizeSkill
- mermaid-diagramsSkill
- skill-usage-insightsSkill
- tavily-web-accessSkill
- teaching-technical-topicsSkill
- triaging-pytorch-issuesSkill
- triaging-vllm-issuesSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

