Skill UI

This skill provides structured guidance and patterns for performing comprehensive web fuzzing using the powerful command-line tool, ffuf. Web fuzzing is an essential security testing technique used by penetration testers to discover hidden directories, unlinked endpoints, or sensitive files on a web server by systematically brute-forcing potential paths and parameters. Use this skill when you need to audit the security posture of a web application or map out unknown parts of a website.

Guide for automating Fibery operations through Composio’s Rube MCP toolkit, covering connection setup, tool discovery, execution steps, and schema-compliant use of search/multi-execute calls.

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 Composio Files Com work by discovering available tools with Rube MCP, validating connections, and executing schema-compliant workflows, ensuring consistent operations for file management tasks.

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

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.

Automates Finmei tasks through the Composio Finmei toolkit via Rube MCP, guiding users to search tool schemas, verify connections, and execute workflows with schema-compliant arguments.

Automate Fireberry operations via Composio’s toolkit by discovering Rube MCP tools, managing connections, and executing schema-driven workflows while enforcing session, memory, and pagination practices.

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 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.