Skill UI

A comprehensive tool for querying and analyzing deep blockchain data across multiple EVM-compatible networks, including Ethereum, Polygon, Arbitrum, and Optimism. It supports tracking transactions by hash, checking address balances, inspecting blocks, and resolving ERC-20 token holdings. Ideal for crypto analysts, developers, and researchers requiring programmatic, detailed insights into on-chain financial activity and protocol interactions.

Guides automating Composio Faceup actions through Rube MCP by discovering current tool schemas, validating connections, and running schema-compliant executions in a structured workflow.

Automates Factorial workflows via Composio’s Rube MCP by discovering current tool schemas, managing the toolkit connection, and executing schema-compliant ops with session reuse and memory handling.

Automates Fidel API workflows through Composio’s toolkit via Rube MCP, emphasizing schema discovery, managed connections, and multi-tool execution with reusable sessions for reliable operational chains.

Automates Fillout form operations through Composio’s toolkit via Rube MCP, enforcing tool discovery, connection checks, schema compliance, and session reuse before executing workflows.

Automates Findymail tasks through Composio’s toolkit by orchestrating Rube MCP searches, connection checks, and multi-tool execution while insisting on up-to-date schemas and session reuse for workflows.

Automates Finerworks operations via Rube MCP and Composio toolkit, guiding tool discovery, connection checks, and schema-compliant execution of multi-tool workflows with session reuse.

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 skill provides advanced methods for load testing and scaling web scraping pipelines using Firecrawl. It manages rate limits and optimizes throughput by implementing concurrency control, batch processing, and queue-based request throttling. Essential for capacity planning, stress-testing scraping performance, or maximizing data ingestion efficiency across various service plans.

A comprehensive guide to handling external API rate limits (429 errors) when using Firecrawl. This skill demonstrates advanced techniques like exponential backoff with jitter, request queuing using p-queue, and proactive throttling methods. It ensures resilient and efficient API integration for large-scale scraping projects.

Comprehensive guide for upgrading the Firecrawl SDK and migrating between major API versions (v0 to v1/v2). It details breaking changes across key functions like `crawlUrl`, `scrapeUrl`, and the new extract schema format. Use this when updating dependencies or transitioning from legacy API structures to the latest v2 standard.

A comprehensive toolkit for monitoring the health and performance of Fireflies.ai integration. It tracks crucial metrics such as API connectivity, webhook delivery status, transcript processing latency, and seat utilization. Built using Prometheus metrics and suitable for Grafana dashboards, ensuring reliable data pipeline monitoring for engineering teams.