Agent Skills Hub

aesthetic

Create aesthetically beautiful interfaces using systematic design principles, AI-driven evaluation, and automated inspiration analysis.

stream-validator

Validate WebSocket and HTTP stream health for WaveCap-SDR. Measure latency, throughput, packet loss, and signal quality for audio, spectrum, and IQ streams.

react-native

React Native best practices for Expo and bare workflow. Supports project structure, navigation, NativeWind styling, platform-specific code, and TypeScript integration.

Observability with Prometheus & Grafana

Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.

rivetkit-client-react

Official React client for RivetKit. Provides hooks like useActor and createRivetKit to build realtime React applications connected to Rivet Actors.

llmfit-advisor

Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.

angular-forms

Build reactive, type-safe Angular v21+ forms using the experimental Signal Forms API. Features automatic two-way binding, schema-based validation, and fine-grained field state management.

jlens-mcp

Expert-level Java codebase analysis and Maven dependency management skill. Enables deep bytecode inspection, multi-version dependency conflict resolution, and automated project building via MCP integration.

airiot-frontend

Official AIRIOT development toolkit for building React applications with TypeScript, shadcn/ui, and integrated real-time platform capabilities.

google-search

Advanced Google search using a real, JavaScript-rendered Chrome browser. Ideal for scraping full page content, site-specific queries, and time-filtered results.

evaluation

Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.

python-plan-optimization

6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).