gpu-clean-conversion
100 / 100 · Low risk
Fine to try.
Convert a PyTorch or Hugging Face model into a LiteRT model that runs fully on the GPU via the CompiledModel API with verified-correct output, and lay it out as a model recipe. Use when converting a new model, or when a converted model is rejected by the GPU, falls back to CPU, or returns wrong numbers on device.
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'gpu-clean-conversion' ] || [ -L ~/.agents/skills/'gpu-clean-conversion' ]; then echo 'A skill folder named gpu-clean-conversion already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/google-ai-edge/litert-samples' "$d" && git -C "$d" checkout --quiet '163222b0a76d2e80f959c1fc1f1918420e3b1e4d' -- 'skills/gpu-clean-conversion' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/gpu-clean-conversion' ~/.agents/skills/'gpu-clean-conversion' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'gpu-clean-conversion' ~/.claude/skills/'gpu-clean-conversion' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/google-ai-edge/litert-samples/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-09 | 163222b | 100 |