FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
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- Claude Code
- Codex
- Cursor
- and 3 more
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Use this resource to diagnose why ROCm, HIP, PyTorch or llama.cpp fail on an AMD GPU
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In a terminal, from the folder you want:
npx --yes palatekit@latest install amd-gpu-rocm-troubleshootingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginOn Linux, Windows or WSL2, the agent identifies the symptom, checks it against a closed catalogue of known failure modes, then applies a low-risk fix with your consent or gives the exact next step. It routes Lemonade, LM Studio or Ollama issues to the right channel. Probes go through the rocm command.
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Updated November 2, 2026
You say
“My torch.cuda.is_available() returns False on this AMD GPU: diagnose it and propose the fix.”

Skill published by amd under the MIT license, delivered in its original version.
Listed unmodified
« rocm-doctor » (amd, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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