mlxcel
About this skill
High-performance LLM, VLM, embedding, reranking, and audio inference for Apple Silicon and NVIDIA CUDA systems.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/mlxcel && curl -fsSL https://workflowstacks.com/api/skills/mlxcel/claude-skill -o ~/.claude/skills/mlxcel/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Mlxcel is a very large Rust project (~1.2M lines across 2935 code files, plus 211 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2src/main.rsWhere the program starts running
- 3Cargo.tomlDependencies and the commands it exposes
- 4examples/async_bench.rsA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/mlxcel && curl -fsSL https://workflowstacks.com/api/skills/mlxcel/claude-skill -o ~/.claude/skills/mlxcel/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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