Skill UI

Guides connecting Composio’s Finage toolkit via Rube MCP for tool discovery, connection validation, and schema-driven execution to keep financial automations reliable.

This tool detects profitable arbitrage opportunities across centralized exchanges (CEX), decentralized exchanges (DEX), and cross-chain markets in real-time. It aggregates price data, calculates net profit after fees, and identifies various arbitrage paths, including direct, triangular, and cross-chain opportunities. It is designed for quantitative traders needing to monitor market efficiency and exploit price discrepancies.

This comprehensive skill covers the full scope of Firebase services, including Authentication, Firestore, Cloud Functions, and Hosting. It goes beyond basic implementation, focusing on critical architectural principles: adopting a query-first, denormalized NoSQL mindset. Key insights include mandatory security rule design, optimal data modeling for performance, and correctly utilizing modular SDKs to build scalable and secure backends.

A systematic guide for debugging complex, hard-to-diagnose issues with Firecrawl. Use this when standard troubleshooting fails, such as when scrapes return empty content, crawl jobs hang indefinitely, or webhooks fail to fire. It employs layer-by-layer isolation techniques, covering API connectivity, target URL accessibility, and content quality to pinpoint failure points.

A comprehensive guide to selecting and implementing the optimal Firecrawl architecture pattern for various data ingestion needs. Learn to choose between On-Demand, Scheduled Crawl Pipelines, and Real-Time Ingestion Pipelines based on data volume, required latency, and complexity. This is essential for designing scalable, production-grade scraping infrastructure, including RAG and knowledge base applications.

A comprehensive quick-reference guide for diagnosing and fixing common Firecrawl API errors and response codes. Covers critical issues such as API key validation (401), rate limiting (429), credit exhaustion (402), and handling dynamic content rendering failures in Single Page Applications (SPA). Use this when debugging failed web scraping or crawl job runs.

This workflow provides the primary mechanism for converting complex, live websites into clean, LLM-ready markdown content. It supports single-page scraping using `scrapeUrl`, deep multi-page site crawling with `crawlUrl`, and scalable async crawling for large datasets. Ideal for building robust content ingestion pipelines and reliably extracting structured information from the web.

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 utility collects comprehensive diagnostic data for troubleshooting Firecrawl issues. It automatically checks environment variables, verifies API connectivity, captures SDK versions, gathers recent error logs, and runs diagnostic scrapes. This is essential for generating complete, redacted support tickets when encountering persistent or hard-to-reproduce bugs.

A comprehensive guide for deploying web scraping applications powered by Firecrawl to various production environments. Covers Vercel serverless functions, Google Cloud Run, and self-hosted Docker setups. Learn how to configure platform-specific secrets, implement API routes, and handle asynchronous crawl results via webhooks for scalable, reliable production service.

Firecrawl provides a comprehensive API for web data harvesting. It enables users to perform single-page scraping, multi-page crawling, site mapping (URL discovery), and advanced structured data extraction using Large Language Models (LLMs). Ideal for integrating data pipelines, building web monitoring tools, or conducting market research.

This guide provides comprehensive instructions for setting up the Firecrawl SDK, covering both Node.js and Python environments. It details how to install the necessary packages via npm or pip, and how to securely configure the API key using environment variables. Use this guide when initializing web scraping functionality or integrating Firecrawl into a new development project.