Browse and Install AI Agent Skills

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch

Build, test, or develop the Cortex-M (CMSIS-NN) backend. Use when working on backends/cortex_m/, running Cortex-M tests, or exporting models for Cortex-M targets.

talmolab

A deep learning framework for multi-animal pose tracking.

tidyverse

Database (DBI) backend for dplyr

zoonk

Write detailed user stories from implementation plans and post to GitHub. Use after planning with zoonk-issue-planning. Acts as a product owner, providing context and acceptance criteria while leaving

nakafaai

AI Native Free High-Quality Learning Platform (K-12 to University)

nakafaai

Create educational content (MDX) and exercises for Nakafa platform. Use when creating or editing subject materials, exercises, questions, answers/explanations, or any educational content in MDX format

RosyGameStudio

Load a 3D model from an OBJ file, create a textured mesh with mipmaps, and render with a fly-around camera. Use when someone needs to load geometry from a file, parse OBJ models, or render textured 3D

RosyGameStudio

Handle automated PR review feedback and merge when ready

ssdeanx

Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions. Use when creating new components in

tomcounsell

do-patch is an AI Agent that applies targeted fixes to resolve specific issues

tomcounsell

do-plan is a skill that creates structured feature plans using Shape Up methodology, narrowing problems and defining boundaries for AI agents.