Skill UI

Automates Fraudlabs Pro workflows through Rube MCP/Composio, guiding you to discover current schemas, validate toolkit connections, and run schema-compliant multi-tool executions safely in each session.

Automate Freshservice ITSM workflows via Rube MCP and Composio toolkits, covering ticket search, creation, bulk updates, service requests, and email-triggered tickets while retrieving current schemas before each call.

Automates Front operations through Composio’s Rube MCP by discovering tool schemas, validating connections, and executing workflows; ideal for teams orchestrating Front tasks with up-to-date tool metadata.

This skill acts as a comprehensive security scanner specializing in detecting Cross-Site Scripting (XSS) vulnerabilities in client-side code. It performs static analysis across React, Vue, Angular, and vanilla JavaScript, specifically identifying unsafe practices like direct HTML manipulation (innerHTML), raw rendering (v-html), and insecure URL handling. Use it when auditing frontend code for security flaws and needing best practices for secure coding.

Frontend Patterns documents modern React and Next.js UI best practices, covering component composition, compound components, render-props, reusable hooks, and context-reducer state management to build performant interfaces.

Automate Fullenrich workflows through Composio’s Rube MCP integrations by discovering current tool schemas, managing toolkit connections, and executing schema-compliant calls with memory-aware sessions.

This skill guides the development of robust, security-focused full-stack web applications. It ensures layered security coverage across the entire application stack, from database queries (parameterized queries) to API endpoints (authentication/authorization) and frontend components (input validation, output encoding). Use this when building end-to-end features, microservices, or REST APIs that require simultaneous attention to Frontend, Backend, and Security best practices.

Guides automating Gagelist operations through Composio’s toolkit and Rube MCP, detailing prerequisites, tool discovery, session/connection checks, and compliant execution steps.

This guide provides comprehensive strategies for optimizing API usage and managing expenditure when interacting with AI generation platforms like Gamma. It details implementing credit tracking systems to monitor consumption, employs cost-saving techniques (such as selecting lower-tier images or using templates), and demonstrates setting up proactive budget alerts to ensure spending remains within budget.

A comprehensive toolkit designed to systematically diagnose and troubleshoot integration issues with the Gamma API. It includes scripts for connectivity testing, authentication validation, latency measurement, and checking various API endpoints (themes, folders, generations) across both Bash and TypeScript environments. Essential for developers ensuring reliable API connections.

A comprehensive guide for deploying applications, especially those integrated with AI services like Gamma, to major cloud environments including Vercel, AWS, GCP, and GitHub. Covers best practices for secret management, environment variable configuration, and setting up CI/CD pipelines across various cloud architectures.

This skill provides a comprehensive guide and multiple code examples (cURL, Node.js, Python) for generating presentations using the Gamma API. It implements the standard asynchronous 'Generate-Poll-Retrieve' pattern: first POST to create the generation job, then GET to poll the status until complete, and finally retrieve the viewable and exportable URLs (PDF/PPTX).