Browse published AI skills maintained by tomkrikorian. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
296Repository forks
32Average repository stars per indexed skill
37Repository stars may repeat across skills from the same repository.
Build, debug, and optimize RealityKit scenes for visionOS, including entity/component setup, rendering, animation, physics, audio, input, attachments, and custom systems. Use when implementing RealityKit featur...
Guide and tooling for Ralph Driven Development (RDD), a spec runner that repeatedly invokes Codex (or other agents) over ordered specs until a magic phrase signals completion. Use when setting up or operating a...
Design and implement visionOS SwiftUI scenes that integrate RealityKit content. Use when building spatial UI with RealityView, Model3D, attachments, volumetric windows, ImmersiveSpace, or spatial gestures, or w...
Guide for creating and structuring skills with consistent formatting, clear documentation, and proper reference organization. Use when creating new skills or updating existing skill documentation.
Create and edit ShaderGraph and RealityKit material networks in .usda files. Use when manually editing USD ASCII files to build, modify, or troubleshoot materials, shader nodes, and connections for RealityKit.
Build and debug ARKit features for visionOS, including ARKitSession setup, authorization, data providers (world tracking, plane detection, scene reconstruction, hand tracking), anchor processing, and RealityKit...
Enforce repository coding standards for Swift 6.2 concurrency, Swift language rules. Use when reviewing or implementing Swift code changes.
Ralph Driven Development workflow that pulls Linear project issues via the Linear MCP and runs them sequentially with Codex. Use when automating task execution from a Linear project and when you need a runner t...
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.