Open source alternatives to metal-kernel
24 open source AI Skills apps to use instead, best rated first.
Top picks
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github-ops
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opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
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andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
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microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
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od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
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github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
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About metal-kernel

metal-kernel
Write Metal/MPS kernels for PyTorch operators
metal-kernel is an agent skill from the PyTorch repository that guides the writing of Metal kernels for PyTorch operators on Apple Silicon, so that operators run on the Metal Performance Shaders (MPS) device. It covers two workflows: adding MPS support to a new operator from scratch, and migrating an operator that uses MPSGraph to native Metal. The skill is firm about the approach. Its goal is to use native Metal capabilities through the c10/metal infrastructure, not MPSGraph, because native Metal kernels offer better control, performance and maintainability. Both workflows involve the same three parts. The first is updating dispatch in the native functions YAML file, aten/src/ATen/native/native_functions.yaml. The second is writing the Metal kernel in aten/src/ATen/native/mps/kernels. The third is implementing the host-side stub in aten/src/ATen/native/mps/operations. The skill is organized as numbered steps, starting with the native functions file. It is listed on skills.sh, with its security audit results shown there. It suits contributors to PyTorch who work on the Apple GPU backend and need a consistent procedure for kernel work.
- Price
- Free
- Made by
- pytorch
- Category
- AI Skills
- Website
- github.com/pytorch/pytorch/metal-kernel











