Skill UI

This advanced workflow executes sophisticated web data gathering tasks. It supports three primary functions: LLM-powered structured data extraction using custom JSON schemas or prompts; efficient batch scraping of multiple known URLs; and rapid site mapping to discover all reachable URLs on a domain. Use this when you require reliable, typed data structures rather than raw markdown content.

This skill translates complex business requirements and specification documents into a complete, production-ready Postgres schema for Supabase. It covers the full development lifecycle, including entity extraction, defining robust tables with constraints, generating migration SQL files, implementing Row Level Security (RLS) policies, and producing corresponding TypeScript types. It is the foundational step for building any robust SaaS application on Supabase.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.