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Discover tools framework internals skills, compare source repositories and read the instructions for each workflow.

Categories: tools framework internals

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GitHub

pytorch-to-triton

biobenkj

Translate PyTorch implementations to Triton GPU kernels incrementally. Use when converting PyTorch code to Triton, optimizing GPU kernels, auditing/reviewing existing Triton code, or when user says "triton", "c...

GitHub

x07-ffi-c

x07lang

Emit C output and a C header for embedding X07 in C/C++ via x07c --emit-c-header.

GitHub

performance-optimizer

larsnyg

Expert performance analysis and optimization. Use when analyzing performance issues, optimizing slow code, reducing bundle size, or improving application speed.

GitHub

mode-optimize

mahamaneharouna9-cpu

Optimize mode for refactoring, performance improvement, and code cleanup. Use when user requests optimization or identifies slow code. Measures baseline, identifies bottlenecks, improves without changing behavi...

GitHub

sunset-pipeline-rtx3060-optimized

zapabob

Optimize Sunset Pipeline Moonshot Integration for 32GB RAM + RTX 3060 GPU environment with practical scaling, resource-efficient implementations, and achievable milestones. Use when implementing AI development...

GitHub

convex

emelleby

This document serves as some special instructions when working with Convex.

GitHub

shaders

taozhuo

Implements visual shaders and shader code for 2D/3D effects including dissolve, outline, water, post-processing, and custom materials. Use when creating custom visual effects.

GitHub

optimization

taozhuo

Implements optimization techniques for rendering, scripting, memory, and physics performance. Use when improving game performance for release.

GitHub

optimization

taozhuo

Implements optimization techniques for rendering, scripting, memory, physics, and networking. Use when improving game performance, reducing lag, or preparing for mobile/low-end devices.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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