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.

Performs a structured, multi-phase audit on local branch changes (diffs) to identify security vulnerabilities, bugs, and code quality issues. It systematically checks for common risks like Injection (SQL, XSS), Broken Authentication, IDOR, CSRF, and business logic flaws, providing detailed severity, evidence, and suggested fixes. Ideal for pre-merge code reviews and security audits.

Automatically assists with generating Firebase security rules, offering best-practice guidance, template configurations, and validation checks tailored for GCP compute, storage, and data workloads.

This guide details setting up automated Continuous Integration/Continuous Deployment (CI/CD) pipelines for Firecrawl scraping services. It covers configuring GitHub Actions, managing API keys, and implementing both mock unit tests and live integration tests. Use this when ensuring scraping behavior is validated automatically across pull requests and merges.

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 migrating web scraping pipelines from tools like Puppeteer, Playwright, and Cheerio to Firecrawl. This skill demonstrates how to replace complex, browser-intensive code with simple API calls, handling single-page scraping, structured data extraction using LLMs, and large-scale site crawling, while eliminating the need for manual browser management and anti-bot workarounds.

This guide provides comprehensive setup for implementing CI/CD pipelines for Fireflies.ai integrations. It covers best practices for validating GraphQL queries, running mock-based unit tests (using Vitest), and executing live integration tests against the actual API. It integrates seamlessly with GitHub Actions, ensuring that code changes are automatically validated in a stable, automated testing environment before deployment. Essential for maintaining API stability and robustness.

A comprehensive guide and implementation for managing rate limits, exponential backoff, and request queuing when interacting with the Fireflies.ai GraphQL API. This skill ensures robust API calling by detecting 429 errors, handling per-plan quotas, and implementing reliable retry mechanisms.

Guides using Rube MCP (Composio) to discover current Fixer IO tool schemas, verify connections, and execute workflows safely by always searching tools first before calling multi-execute endpoints.

Automates Formbricks workflows through the Composio Rube MCP bridge by always discovering current tool schemas, validating toolkit connections, and executing schema-compliant calls for Formbricks operations.

This guide details integrating FoundationModels for running Large Language Models (LLMs) directly on the device (iOS 26). It covers advanced patterns including text generation, extracting structured data using @Generable, implementing custom tool calling for domain logic, and streaming responses for real-time UI updates. Key features emphasize strong privacy and offline capability, ensuring no data leaves the device.