Skill UI

This skill provides comprehensive guidance for the creation, organization, and management of Helm charts. It is essential for packaging, distributing, and deploying Kubernetes applications across various environments. Use it when implementing complex, templated, and reusable manifests for robust cloud-native deployments.

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for designing and implementing core content components (e.g., Charts, Collections, Image Views, Web Views). It provides best practices for cross-platform adaptation, accessibility, visual hierarchy, and performance optimization across iOS, macOS, tvOS, and visionOS.

This guide details Apple's Human Interface Guidelines (HIG) for implementing crucial navigation components. It provides best practices for search fields (instant feedback, scoping), page controls (linear sequences), and path controls (file hierarchy/breadcrumbs). It helps developers ensure their application's UI feels native and intuitive across various Apple platforms (iOS, macOS, etc.).

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for implementing essential UI status components. Covers best practices for progress indicators (determinate vs. indeterminate), status bars, and activity rings across iOS and watchOS. Essential for developers ensuring native, platform-compliant, and user-friendly status feedback.

A comprehensive skill designed to manage, track, and persist image assets generated by Ideogram's API. This tool addresses the critical issue of expiring image URLs by implementing a complete lifecycle pipeline. It handles metadata tracking (prompt, seed, model, style, etc.), immediate downloading, and robust storage to both local filesystems and cloud solutions like S3. Features include asset persistence, generation history logging, and image reproduction using stored seed values.

A comprehensive guide to implementing robust observability for Ideogram AI image generation APIs. Learn how to track critical metrics such as generation duration (latency), estimated API costs, error rates, and content safety rejections. This skill involves instrumenting API calls using TypeScript, integrating cost estimation, and setting up Prometheus alerting rules to ensure stable and reliable AI operation.

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.

Provides comprehensive patterns for managing API rate limits and handling throttling when interacting with services like Ideogram. This guide demonstrates robust techniques including implementing exponential backoff with jitter, utilizing concurrency-limited queues (e.g., p-queue), and implementing token bucket algorithms. Use this skill to ensure stable, high-throughput, and reliable batch API calls.

This document provides production-grade patterns for integrating with the Ideogram API in TypeScript and Python. It addresses common challenges in API usage, including implementing singleton client management, robust exponential backoff retry logic for rate limiting, and strict response validation using libraries like Zod. Use this guide when building reliable, scalable applications that depend on external AI image generation services.

This guide details best practices for securing Ideogram API integrations. It covers essential steps like using environment variables for key storage, implementing key rotation procedures, establishing server-side proxies to prevent key exposure, and sanitizing prompts to mitigate data leaks. Use this when setting up, maintaining, or auditing API security infrastructure.

This skill guides developers on building scalable, event-driven pipelines around Ideogram's synchronous API. It demonstrates implementing robust async patterns, including using job queues (like BullMQ) for batch generation, handling webhook callbacks for post-processing, and setting up full asset modification pipelines. Ideal for production-grade marketing and content workflows.

Generates and implements backup strategies for databases and applications, producing configuration files and automation scripts that ensure secure, scalable protection and disaster recovery readiness across platforms.