AI & ML

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Automate Jotform form listing, user management, activity history, folder organization, and plan inspection through natural language commands

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Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

AI-powered image editing with style transfer and object removal

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Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility

Use when setting up monitoring systems, logging, metrics, tracing, or alerting. Invoke for dashboards, Prometheus/Grafana, load testing, profiling, capacity planning.

Identifies and fixes component hierarchy issues by detecting orphaned classes in root namespaces and ensuring components exist only as leaf nodes. Use when analyzing component structure, finding orphaned classes, flattening component hierarchies, removing component nesting, or when the user asks about component flattening, orphaned classes, or component structure cleanup.

Platform APIs for model management, pricing, and usage tracking