Skill UI

Automates Bunnycdn operations through Composio's Bunnycdn toolkit via Rube MCP, guiding tool discovery, connection handling, and execution workflows while enforcing schema compliance and session reuse.

This comprehensive guide provides a multi-platform deployment solution for Ideogram-powered image generation APIs. It includes detailed code and setup steps for Vercel, Google Cloud Run, and self-hosted Docker containers. The solution addresses key production concerns, including secure secret management (API keys), handling generation timeouts, and ensuring generated images are persisted to durable cloud storage (like S3) with CDN integration for reliable service operation. Use this when migrating Ideogram prototypes to a production environment.

This skill guide provides advanced techniques for optimizing Ideogram API usage. It covers selecting optimal model tiers (e.g., Turbo vs. Standard) based on desired quality and speed, implementing prompt-based caching to reduce API calls and costs, and managing parallel generation with concurrency limits for high throughput. Additionally, it demonstrates CDN integration for rapid asset delivery.

A comprehensive reference architecture for implementing large-scale AI image generation using Ideogram. This system guides developers through building robust pipelines, including structured prompt templating (for brand consistency), utilizing multiple API endpoints (Generate, Edit, Remix), and implementing full asset workflow management from generation to final CDN delivery. Ideal for establishing brand asset systems and scalable AI integrations.

Implements multi-tier database caching using Redis, in-memory stores, and CDN integration to reduce load, lower query latency, and support scalable cache-aside, write-through, or read-through workflows when users ask for caching optimizations.

This is a production-grade reference architecture for building scalable video generation platforms powered by Kling AI. It details the complete pipeline, from the API gateway and job queuing (Redis/SQS) to the worker pool, object storage, and CDN delivery. Use this guide when designing high-throughput, resilient, and scalable AI video systems.

This skill addresses the challenge of handling temporary CDN links for videos generated by Kling AI. It provides a comprehensive, multi-cloud solution to download the video asset and persistently upload it to major cloud storage platforms, including AWS S3, Google Cloud Storage (GCS), and Azure Blob Storage. It facilitates building robust, long-term media pipelines and ensures metadata preservation.

A comprehensive guide to implementing robust, multi-layered API response caching using distributed stores like Redis and Memcached, alongside CDN integration. Learn advanced strategies such as tag-based cache invalidation, read-through/write-through patterns, TTL management, and serving stale-while-revalidate content to drastically boost application performance and scalability.

Master advanced techniques for scaling Supabase projects to handle high production load. This skill covers six critical layers: implementing read replicas for analytics, optimizing connectivity using connection pooling (Supavisor), upgrading compute resources, utilizing CDN caching for Storage, deploying Edge Functions regionally, and performing database table partitioning. Ideal for engineers preparing for traffic spikes or optimizing large-scale database architectures.

A detailed guide for conducting authorized penetration tests to detect and exploit HTTP request smuggling flaws. This technique targets discrepancies in Content-Length and Transfer-Encoding parsing between front-end proxies (like CDNs or load balancers) and back-end servers, allowing attackers to bypass security controls and hijack subsequent requests.

This skill detects command-and-control (C2) traffic hidden using domain fronting techniques. It analyzes proxy and web gateway logs by comparing discrepancies between the TLS SNI field and the HTTP Host header. By inspecting these mismatches and correlating them with known CDN provider properties, it helps security analysts hunt for sophisticated network evasion tactics.

This skill guides users through performing sophisticated web cache deception attacks. It exploits path normalization discrepancies and cache key misconfigurations between Content Delivery Networks (CDNs) and origin servers. Use this methodology to test for sensitive data exposure, cache poisoning, and authentication bypass vulnerabilities in applications protected by aggressive caching layers like Cloudflare or Akamai.