magpie-kernel-evaluator
Skill from amd/skills
Install
npx skills add amd/skills --skill magpie-kernel-evaluator
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install amd-skills@amd-skills
This skill is part of the plugin “amd-skills”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the magpie-kernel-evaluator skill do?
Description from the SKILL.md in the source repository.
Questions about magpie-kernel-evaluator
What does the magpie-kernel-evaluator skill do?
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 variants; run local, container, or Ray workloads; or mentions Magpie, TraceLens, gap analysis, TTFT, TPOT, kernel evaluation, or AMD GPU optimization.
How do I install magpie-kernel-evaluator?
In a terminal: npx skills add amd/skills --skill magpie-kernel-evaluator. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use magpie-kernel-evaluator?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is magpie-kernel-evaluator safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
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