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Move new skills to staging area
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.claude-plugin/marketplace.json

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"source": "./skills/analysis-orchestrator",
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"description": "Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs, and writes a prioritized stakeholder report (analysis.md)."
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},
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{
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"name": "apu-memory-tuner",
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"source": "./skills/apu-memory-tuner",
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"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."
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},
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{
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"name": "local-ai-app-integration",
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"source": "./skills/local-ai-app-integration",
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"source": "./skills/magpie",
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"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."
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},
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{
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"name": "rocm-doctor",
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"source": "./skills/rocm-doctor",
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"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."
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},
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{
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"name": "serving-llms-on-instinct",
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"source": "./skills/serving-llms-on-instinct",

.cursor-plugin/marketplace.json

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@@ -14,11 +14,6 @@
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"source": "./skills/analysis-orchestrator",
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"description": "Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs, and writes a prioritized stakeholder report (analysis.md)."
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},
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{
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"name": "apu-memory-tuner",
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"source": "./skills/apu-memory-tuner",
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"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."
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},
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{
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"name": "local-ai-app-integration",
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"source": "./skills/local-ai-app-integration",
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"source": "./skills/magpie",
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"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."
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},
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{
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"name": "rocm-doctor",
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"source": "./skills/rocm-doctor",
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"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."
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},
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{
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"name": "serving-llms-on-instinct",
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"source": "./skills/serving-llms-on-instinct",
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