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This entry duplicates huggingface-zerogpu, which is the one we list in search.

huggingface-zerogpu

AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU.

Skill by sediman-agent

IndexedNOASSERTION★ 394
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sediman-agent-huggingface-zerogpu

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About

AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.

Use cases: ml, writing

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What's inside

Skill name
huggingface-zerogpu
Description
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.
License
NOASSERTION
Instructions
286 lines in SKILL.md · view on GitHub

Files (5)

  • SKILL.md
  • concurrency.md · references/
  • cuda-and-deps.md · references/
  • how-quota-works.md · references/
  • how-zerogpu-works.md · references/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from sediman-agent/OpenSkynet

Signals

Stars
394
Forks
44
Open issues
135
Last commit (this folder)
May 30, 2026 (5 months ago)
Last release
Jun 4, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/sediman-agent/OpenSkynet
Website
agent.sediman.com/
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

huggingface-zerogpu skill. Agent Mart. https://agentmart.dev/skills/sediman-agent-huggingface-zerogpu (last updated 2026-10-24)