Updated 1d ago
by amd
skills
Official AMD catalog of AI agent skills. Empower your AI agents with AMD's optimized SW stack.
478 GitHub stars (478)
+91 in 30 days
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- 18 skills (18 skills found in its SKILL.md files)
- 46 forks (46 forks)
- 1d ago last update (Last updated 1d ago)
Install
Skills CLI
npx skills add amd/skills
Asks which skills and agents to install. Just one: npx skills add amd/skills --skill flydsl-kernel-authoring — add -g for every project.
Claude Code
git clone https://github.com/amd/skillscp -r "skills/skills/flydsl-kernel-authoring" ~/.claude/skills/
Copies the flydsl-kernel-authoring skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add amd/skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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flydsl-kernel-authoring
Comprehensive reference for authoring FlyDSL GPU kernels on AMD GPUs. Covers the layout algebra, tiled copy/MMA, buffer ops, loop-carried range loops, SharedAllocator (LDS), autotuning, and common patterns. Use when writing, reviewing, or understanding FlyDSL kernel code.
skills/flydsl-kernel-authoring/ on GitHub (opens in a new tab)SKILL.md -
flydsl-kernel-trace-analysis
Profile GPU kernels using rocprofv3 to collect ATT instruction-level traces, then analyze the trace data using hotspot_analyzer.py to identify top-K stall hotspots (VMEM-load, VMEM-wait, LDS/SMEM-wait, barrier, MFMA stalls) mapped back to source lines, and produce an actionable optimization plan. Also analyzes rocprofv3 PMC counter CSVs (L2 hit rate, partial reads, over-fetch). Usage: /kernel-tra…
skills/flydsl-kernel-trace-analysis/ on GitHub (opens in a new tab)SKILL.md -
hyperloom-workload-optimizer
Autonomously optimizes end-to-end LLM inference throughput on AMD Instinct GPUs and reports a validated gain, using the Hyperloom multi-agent optimizer. Given a model, framework, workload (TP/EP, concurrency, ISL/OSL, precision), an objective and a time budget, it explores per-workload which levers to pull (serving/config parameters and env, framework enablement and source patches, and hot GPU-ke…
skills/hyperloom-workload-optimizer/ on GitHub (opens in a new tab)SKILL.md -
lemonade-router-builder
Turns a natural-language description of routing intent into a valid Lemonade `collection.router` policy JSON. The skill generates and validates the JSON only - it does not register it or call the live server. Use when the user wants to route requests between models ("route sensitive queries to X and everything else to Y"), generate a router/hybrid-router config or policy, author a collection.rout…
skills/lemonade-router-builder/ on GitHub (opens in a new tab)SKILL.md -
local-ai-app-integration
Integrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an existing app; replace or supplement OpenAI, Anthropic, Ollama, or other cloud AI APIs with a local backend; only use to convert user apps. Do not u…
skills/local-ai-app-integration/ on GitHub (opens in a new tab)SKILL.md -
local-ai-use
Makes this agent generate images, transcribe audio, and synthesize speech on the user's own machine through a local Lemonade Server instead of a paid cloud API. Use it above all to change that routing persistently, from now on — keep generating pictures locally while chat stays on the cloud; set this workspace up to make images on my own machine — even when the user asks for no image or file in t…
skills/local-ai-use/ on GitHub (opens in a new tab)SKILL.md -
magpie-kernel-evaluator
Benchmarks LLM inference and drives GPU kernel optimization with Magpie. Use when the user wants to benchmark vLLM, SGLang, or Atom; capture torch traces; post-process inference traces with TraceLens into prefill/decode and roofline reports; identify top bottleneck kernels or map profiler names to source; analyze or compare HIP, CUDA, PyTorch, or Triton kernels; validate and rank optimized varian…
skills/magpie-kernel-evaluator/ on GitHub (opens in a new tab)SKILL.md -
quark-install
Installs or verifies AMD Quark and ensures the selected Python environment has an accelerator-matched PyTorch. Applies to "install Quark", "set up Quark", "pip install amd-quark", Quark dependency or import failures, ModuleNotFoundError for quark, and Quark kernel compiler errors. Defaults to GPU and requires explicit confirmation before CPU mode. Covers PyPI universal, exactly matched native, lo…
skills/quark-install/ on GitHub (opens in a new tab)SKILL.md -
quark-torch-llm-ptq
Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request execution approval, and produce a quantized model. Applies to Llama, Qwen, Mistral, and similar transformer LLM requests involving FP8, INT4, or another Quark scheme. Does not handle .onnx model inputs or…
skills/quark-torch-llm-ptq/ on GitHub (opens in a new tab)SKILL.md -
rocm-doctor
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…
skills/rocm-doctor/ on GitHub (opens in a new tab)SKILL.md -
rocprofiler-pc-sampling
Profiles a target application using rocprofv3 with program counter sampling enabled and then analyzes the results. Use when the user has a program that runs on an AMD GPU and asks to perform PC sampling, to determine the runtime performance characteristics of their application, to determine stall reasons, or to determine hotspots in the code.
skills/rocprofiler-pc-sampling/ on GitHub (opens in a new tab)SKILL.md -
serving-llms-on-epyc
Serves an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. Use for "vLLM on CPU", "zentorch serving", or an EPYC CPU endpoint, including on a host that also has AMD Instinct GPUs. Detects the EPYC generation, validates the runtime, checks model support and RAM fit, sizes threads/KV/NUMA, confirms the plan, launches, and verifies the endpoint. Runs one…
skills/serving-llms-on-epyc/ on GitHub (opens in a new tab)SKILL.md -
serving-llms-on-instinct
Serves AI models on AMD Instinct GPU hardware using vLLM. Use this skill whenever the user wants to run, serve, deploy, start, host, or launch a language model on an AMD GPU, AMD Instinct, MI300X, MI325X, MI350X, or MI355X. Also use when the user mentions vLLM on ROCm, vLLM on AMD, serving on HBM, or asks how to get a model running on AMD data center hardware. Use when the user asks "run Qwen3",…
skills/serving-llms-on-instinct/ on GitHub (opens in a new tab)SKILL.md -
tracelens-analysis-orchestrator
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). Use when the user asks to follow the analysis orchestrator, run the agentic analysis workflow, analyze a trace, compare two traces, or mentions…
skills/tracelens-analysis-orchestrator/ on GitHub (opens in a new tab)SKILL.md -
apu-memory-tuner
Inspects and tunes the shared-vs-dedicated memory split on AMD Ryzen APUs with unified memory (UMA) so larger LLMs and image-gen models fit on the iGPU, or so reserved GPU memory is returned to the CPU. Use when the user mentions Ryzen AI, Strix Halo / Strix Point / Krackan / Phoenix / Hawk Point, Ryzen AI Max, gfx1150 / gfx1151 / gfx1152, integrated Radeon, iGPU memory, UMA Frame Buffer Size, AM…
staging/apu-memory-tuner/ on GitHub (opens in a new tab)SKILL.md -
eval-post-processing
No description in the SKILL.md.
skills/tracelens-analysis-orchestrator/ on GitHub (opens in a new tab)evals/ skills/ eval-post-processing/ SKILL.md -
quality-llm-eval
No description in the SKILL.md.
skills/tracelens-analysis-orchestrator/ on GitHub (opens in a new tab)evals/ skills/ quality-llm-eval/ SKILL.md -
workflow-llm-eval
No description in the SKILL.md.
skills/tracelens-analysis-orchestrator/ on GitHub (opens in a new tab)evals/ skills/ workflow-llm-eval/ SKILL.md
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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