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.
296 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.
Debug package implementation guide for LobeHub. Provides standardized logging patterns, namespace conventions, and configuration for browser, Node.js, and Electron environments.
Reference for all MCP tools exposed by the CCOS server, enabling capability discovery, session management, and governed RTFS execution for autonomous agent workflows.
A comprehensive PDF toolkit for extracting text/tables, merging, splitting, rotating, and programmatically generating or filling PDF documents using Python and CLI tools.
Normalizes testing defect logs by correcting typos, abbreviations, and ambiguous descriptions based on product-specific codebooks and station validation.
Automated, non-destructive proofreading for LaTeX and Quarto lecture files, generating quality reports for grammar, typos, and academic style.
Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.
Guidance on React Server Components (RSC) in Next.js, covering server/client component boundaries, data fetching, and composition patterns.
Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.
Automate the migration of Netflix Conductor workflows to Temporal Python, including server orchestration, worker management, and workflow troubleshooting.
Automated CI/CD incident response, failure analysis, and remediation for GitHub Actions pipelines. Resolves build and test failures with safety guardrails.
A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.