marketplace.json

{
  "name": "amd-skills",
  "owner": {
    "name": "AMD"
  },
  "metadata": {
    "description": "Agent Skills for AMD-optimized workflows",
    "version": "0.1.0"
  },
  "plugins": [
    {
      "name": "apu-memory-tuner",
      "source": "./skills/apu-memory-tuner",
      "skills": "./",
      "description": "Inspect and tune the shared-vs-dedicated memory split (GTT / UMA Frame Buffer) on AMD Ryzen APUs so larger LLMs and image models fit on the iGPU."
    },
    {
      "name": "local-ai-app-integration",
      "source": "./skills/local-ai-app-integration",
      "skills": "./",
      "description": "Integrate local AI into cloud LLM apps for offline support, better privacy, and lower API costs."
    },
    {
      "name": "local-ai-use",
      "source": "./skills/local-ai-use",
      "skills": "./",
      "description": "Route image generation, text-to-speech, and speech-to-text through a local AI Server to reduce token/cost usage."
    },
    {
      "name": "magpie",
      "source": "./skills/magpie",
      "skills": "./",
      "description": "Performs GPU kernel correctness and performance evaluation and LLM inference benchmarking with Magpie. Analyzes single or multiple kernels (HIP/CUDA/PyTorch), compares kernel implementations, runs vLLM/SGLang benchmarks with profiling and TraceLens, and runs gap analysis on torch traces."
    },
    {
      "name": "rocm-doctor",
      "source": "./skills/rocm-doctor",
      "skills": "./",
      "description": "Diagnose why ROCm, PyTorch, or llama.cpp isn't working on an AMD GPU. Matches the symptom against a fixed list of twelve known misconfigurations and proposes the next step."
    }
  ]
}