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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.

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

This skill guides the full lifecycle of game development, from architecture design (ECS, component systems) to high-performance implementation. It covers integrating Unity/Unreal Engine features, implementing complex physics, multiplayer networking with lag compensation, and achieving consistent 60+ FPS performance. Key techniques include object pooling, state machines, and rigorous profiling to ensure production-ready, scalable game systems.

This orchestrator skill provides comprehensive core principles for game development, covering topics like the Game Loop, design patterns (State Machine, ECS), performance budgeting, and input abstraction. It guides users by routing them to specialized sub-skills based on required platforms (Web, Mobile, PC), dimensions (2D, 3D), and specialty areas (AI, Networking, Art). Ideal for structuring complex game projects from concept to implementation.

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 runbook providing systematic, step-by-step procedures for responding to and resolving critical incidents related to Gamma integration. It covers diagnostics for full outages, 5xx errors, rate limit exceedances, and high latency, ensuring rapid and structured incident handling during production failures.

This guide sets up a robust local development workflow for integrating with the Gamma REST API. It includes a reusable client wrapper, a polling helper for handling asynchronous tasks, and a local mock server. Use this setup when building automation scripts, testing API calls offline, or simulating API responses without needing external service credentials or network connectivity.

This guide provides a deep dive into migrating existing presentation content (from PowerPoint, Google Slides, Canva, etc.) to the modern, AI-powered format of Gamma. It details a robust, multi-step workflow: content extraction, content cleaning, and batch regeneration using scripting methods. This approach ensures that the core content is preserved while benefiting from Gamma's superior AI formatting capabilities, moving beyond simple file imports and guaranteeing better results than the original source files.

A comprehensive, step-by-step guide detailing how to safely upgrade Gamma SDK versions (supporting both Node.js and Python) and migrate between different API versions. It covers checking current versions, reviewing changelogs, handling breaking changes in code patterns, and implementing thorough testing procedures to ensure a smooth deployment.

This guide demonstrates how to build a resilient, event-driven architecture for Gamma API integrations when native webhooks are unavailable. It utilizes a poll-based pattern, creating synthetic application-level events (start, completed, failed) by wrapping polling logic within an EventEmitter or message queue. Ideal for building background workers that reliably track and react to the full lifecycle of content generation.

Automates Gatherup operations by driving Composio’s Gatherup toolkit through the Rube MCP, emphasizing search-first discovery, connection validation, schema compliance, and multi-tool execution workflows for reliable automation.