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tomkrikorian skills

Find 12 skills from 1 repo created by tomkrikorian on GitHub.

1 repo
12 skills
GitHub

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arkit-visionos-developer

tomkrikorian/visionosagents

40
This skill guides ARKit on visionOS setup, authorization, data providers, anchors, and RealityKit integration for immersive spatial apps.
shadergraph-editor

tomkrikorian/visionosagents

40
This skill guides manual editing of USD ASCII shader graphs for RealityKit, enabling you to create, connect, and troubleshoot materials and bindings.
spatial-swiftui-developer

tomkrikorian/visionosagents

40
This skill guides building visionOS SwiftUI scenes with RealityKit content, helping you choose between SwiftUI and RealityKit APIs and bridging them
visionos-widgetkit-developer

tomkrikorian/visionosagents

40
This skill helps you design, implement, and troublehoot visionOS WidgetKit widgets with mounting styles, textures, and LevelOfDetail aware layouts.
tkr-skill-writer

tomkrikorian/visionosagents

40
This skill guides you to create well-structured SKILL.md files and concise references for consistent, discoverable skill documentation.
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coding-standards-enforcer

tomkrikorian/visionosagents

40
This skill enforces Swift 6.2 concurrency and language standards across the repository, identifying violations and suggesting fixes during reviews.
shareplay-developer

tomkrikorian/visionosagents

40
This skill guides building SharePlay GroupActivities across Apple platforms, enabling proper activation, session management, state synchronization, and
visionos-immersive-media-developer

tomkrikorian/visionosagents

40
This skill helps you implement immersive and spatial video on visionOS by managing VideoPlayerComponent, immersive modes, transitions, and comfort mitigations.
ralph-driven-development

tomkrikorian/visionosagents

40
This skill guides you to set up and operate Ralph Driven Development workflows, tailoring plan, specs, and completion tracking for efficient AI-driven coding.
ralph-driven-development-linear

tomkrikorian/visionosagents

40
This skill automates Linear project task execution by sequentially running Codex agents, advancing issues, and tracking retries for efficient workflow.