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Found 2,418 Skills
Optimize and prepare 3D assets for web delivery. Use this skill when working with GLTF/GLB files, compressing 3D models, optimizing textures, setting up Blender exports, or preparing assets for Three.js/R3F. Covers GLTF workflows, Draco/meshopt compression, texture optimization, LOD generation, and performance profiling.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
Go performance patterns including efficient string handling, type conversions, and container capacity hints. Use when optimizing Go code or writing performance-critical sections.
Review SQL and query code for injection risk, parameterization, indexing and performance, transactions, NULL and constraints, and dialect portability. Language-only atomic skill; output is a findings list.
Automate copy trading on Hyperliquid perpetuals via the Coinpilot API using experimental private-key auth and coinpilot.json credentials. Use when validating a user's credentials, discovering lead wallets, starting or stopping copy-trade subscriptions, adjusting subscription configs/positions, or querying Hyperliquid clearinghouseState/portfolio performance.
Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.
WordPress performance optimization - Core Web Vitals, image/video compression, caching, asset optimization, and speed testing. Use when optimizing site speed or diagnosing performance issues.
Implement cross-cutting Hotwire UX feedback patterns: loading states, busy indicators, progress bars, optimistic UI, render interception, and view/page transitions. Prefer this skill when the core goal is perceived performance and user feedback, independent of a single feature domain. Use hwc-forms-validation for form correctness and validation behavior, hwc-navigation-content for navigation/history/cache mechanics, hwc-realtime-streaming for push/stream orchestration, hwc-media-content for media-specific behavior, and hwc-stimulus-fundamentals for base Stimulus API questions.
Complete React Native and Expo optimization guide combining Callstack profiling with Vercel code patterns. Covers FPS, TTI, bundle size, memory, lists, animations, state, UI, and React Compiler. Use for any React Native performance, debugging, or best practices task.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
Provides guidance for writing and benchmarking optimized CUDA kernels for NVIDIA GPUs (H100, A100, T4) targeting HuggingFace diffusers and transformers libraries. Supports models like LTX-Video, Stable Diffusion, LLaMA, Mistral, and Qwen. Includes integration with HuggingFace Kernels Hub (get_kernel) for loading pre-compiled kernels. Includes benchmarking scripts to compare kernel performance against baseline implementations.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.