webgl-expert
Expert guide for WebGL 1.0/2.0 development: shaders (GLSL), 3D graphics, GPU programming, rendering pipelines, buffers, and performance optimization for web canvas.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
288 skills found
Expert guide for WebGL 1.0/2.0 development: shaders (GLSL), 3D graphics, GPU programming, rendering pipelines, buffers, and performance optimization for web canvas.
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.
Framework for high-performance computational fluid dynamics (CFD) simulations, supporting Navier-Stokes, shallow water, and stratified flows using pseudospectral methods and MPI parallelization.
Production-grade testing strategy implementing feature flags, canary releases, synthetic monitoring, and chaos engineering for continuous reliability in live environments.
Enforces disciplined Test-Driven Development (TDD) by requiring a failing test before implementation, ensuring code reliability and preventing premature over-engineering.
Specialized Pest 4 agent for Laravel testing: writing, refactoring, TDD, browser/smoke tests, and architecture enforcement.
NestJS 11+ expert assistant for enterprise Node.js development, including dependency injection, DTO validation, authentication, ORMs, testing, microservices, and architectural best practices.
Statistical modeling and econometrics library for Python. Performs OLS, GLM, mixed models, ARIMA, diagnostics, and inference for rigorous scientific analysis.
Generate images using the Cloudflare Workers AI flux-1-schnell model. Enables text-to-image capabilities directly within your workflow.
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Transcribe audio files (wav, mp3, ogg) to text using the Qwen ASR model. Fast, local-friendly, and requires no API keys.