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rocm-doctor

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Diagnoses why ROCm, the HIP SDK, PyTorch, or llama.cpp is broken on an AMD GPU on Linux, Windows, or WSL2, then applies a low-risk fix with consent or hands back the exact next step. Also routes Lemonade, LM Studio, and Ollama problems to the right upstream channel. Use when the user reports that ROCm or HIP "isn't working", torch.cuda.is_available() is False, rocminfo / hipInfo can't see the GPU, or hits hipErrorNoBinaryForGpu, HSA_STATUS_ERROR_INVALID_ISA, "invalid device function", "no kernel image is available", cannot open /dev/kfd, permission denied on /dev/kfd, "ROCk module is NOT loaded", a missing libamdhip64.so / amdhip64_6.dll / hipblas.dll / vcruntime140_1.dll, an HSA_OVERRIDE_GFX_VERSION page fault, an iGPU+dGPU crash, a container that can't see the GPU, or a repo-native package-manager install (formerly `amdgpu-install`) / DKMS failure. Backed by the `rocm` CLI (`rocm examine` / `rocm diagnose` / `rocm fix`); this skill is a thin driver over those commands, not a re-implementation.

skills/rocm-doctor/SKILL.md

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Source commit e6ee0b7c2e78babc7c7240b34f3fea0a6f510a65

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Last checked
Nov 6, 2026

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483
Repository last updated
Nov 8, 2026
License
MIT

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# ROCm Doctor

Given a "ROCm / PyTorch / llama.cpp isn't working on my AMD GPU" complaint,
identify which **known misconfiguration** is the cause and either fix it (with
consent) or hand back the exact next step.

This skill does **not** probe or reason on its own. The `rocm` CLI owns the
probe, the closed failure-mode catalog, and the fixes; the skill just drives it
and relays the results. The catalog is a **closed list** — if the symptom
doesn't match a known mode, route the user upstream instead of guessing.

## Scope gate — check before anything else

Read the user's symptom and answer one question first: **is this an AMD GPU?**
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