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Cloudai X

Reusable agent skills published under this GitHub owner—sorted by stars with aggregate signals below.
30 skills19K GitHub stars0 weekly installsGitHub
Strongest repo by stars
cloudai-x/threejs-skills

10 skills · 9.6K stars total

Open repo

30 skills

designing-tests
Ci Cd

This skill helps you design and implement robust testing strategies across unit, integration, and end-to-end tests for any codebase.

DebuggingIntegration TestsTestingUnit Tests+1
managing-git
Ci Cd

This skill helps you manage Git workflows, create atomic commits, handle branches, and open PRs with best practices.

Code ReviewGitProductivityScripting+1
designing-apis
Api

This skill helps you design robust REST and GraphQL APIs by outlining resources, endpoints, error handling, versioning, and documentation.

BackendDesignDocsPlanning+2
parallel-execution
Automation

This skill coordinates parallel subagent execution using Task run_in_background to speed up independent tasks and synthesize results efficiently.

BackendDebuggingPerformanceTesting+1
designing-architecture
Api

This skill helps you design software architectures and select patterns for projects, guiding structure, trade-offs, and scalable decisions.

BackendCloudDevopsPerformance+3
analyzing-projects
Analytics

This skill helps you rapidly onboard to a new codebase by analyzing structure, tech stack, patterns, and conventions.

ApiCi CdCode ReviewDebugging+3
optimizing-performance
Analytics

This skill analyzes and optimizes application performance across frontend, backend, and database layers, guiding profiling and targeted improvements with

ApiBackendDatabaseFrontend+2
convex-backend
Api

This skill helps you write Convex backend code by applying comprehensive guidelines for functions, schemas, queries, mutations, actions, and storage.

BackendCode ReviewDataDatabase+3
threejs-shaders
Code Review

This skill helps you create and customize visual effects in Three.js using ShaderMaterial and GLSL shaders for dynamic graphics.

DebuggingFrontendPerformanceScripting
threejs-materials
Debugging

This skill helps you select, configure, and optimize Three.js materials for realistic, stylized, and performant 3D scenes.

FrontendPerformance
threejs-interaction
Ai

This skill helps you implement robust Three.js interaction with raycasting, camera controls, and input handling for interactive 3D experiences.

DebuggingFrontendPerformanceTesting
threejs-lighting
Debugging

This skill helps you implement and optimize Three.js lighting, shadows, and environment lighting to improve realism and performance.

DocsFrontendPerformanceScripting
threejs-geometry
Debugging

This skill helps you create and customize 3D shapes in Three.js with built-in geometries, custom buffers, and efficient instancing for scalable scenes.

FrontendGitObservabilityPerformance+1
threejs-postprocessing
Debugging

This skill enables you to implement Three.js post-processing with EffectComposer, bloom, DOF, color grading, and screen-space shaders for enhanced visuals.

DocsFrontendPerformanceScripting
threejs-fundamentals
Debugging

This skill helps you set up and optimize Three.js scenes, cameras, renderers, and object hierarchies for accurate 3D transforms.

DocsFrontendPerformanceScripting
threejs-animation
Frontend

This skill helps you implement and optimize Three.js animations, including keyframes, skeletons, morph targets, and blending for responsive 3D motion.

PerformanceScripting
threejs-loaders
Debugging

This skill helps you manage three.js asset loading with loaders, progress tracking, and best practices for textures, models, and HDR environments.

FrontendPerformance
threejs-textures
Debugging

This skill helps you manage Three.js textures end-to-end, from loading and config to UV mapping and environment maps, boosting visual fidelity.

DocsPerformanceScripting
x-algo-filters

Explain why posts get filtered from the X feed. Use when analyzing why a post was removed, not shown, or filtered out of recommendations.

x-algo-ml

Explain the Phoenix ML model architecture for X recommendations. Use when users ask about embeddings, transformers, how predictions work, or ML model details.

x-algo-scoring

Calculate and explain X algorithm engagement scores. Use when analyzing post ranking, understanding score weights, engagement potential, or why one post ranks higher than another.

x-algo-pipeline

Explain the complete X recommendation algorithm pipeline. Use when users ask how posts are ranked, how the algorithm works, or want an overview of the recommendation system.

x-algo-engagement

Reference for X algorithm engagement types and signals. Use when analyzing engagement metrics, action predictions, or understanding what signals the algorithm tracks.

world-labs-studio

World Labs Studio - Compose multiple worlds, record camera animations, and expand boundaries

world-labs-pano-video

Panorama and video input for world generation - maximum layout control

world-labs-text-prompt

Text-to-world generation best practices, prompt structure, style descriptors

world-labs-chisel

Chisel 3D blocking tool for world generation - geometry, walls, and reference models

world-labs-multi-image

Multi-image input with direction control and auto layout for world generation

world-labs-image-prompt

Single image input for world generation - requirements, best practices, and examples

world-labs-export

World Labs export formats - Gaussian splats, meshes, images, and engine integrations

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