Skill UI

This guide provides comprehensive strategies to significantly reduce spending on the Anthropic Claude API. Key techniques include model routing (selecting the most cost-effective model for the task), prompt caching for repeated prompts, using Message Batches for asynchronous tasks, and implementing real-time spend tracking and budget alerts. Essential for managing large-scale, high-cost AI deployments and optimizing cloud LLM expenditures.

This guide details advanced strategies for optimizing Claude API usage to reduce latency and cost. Techniques covered include prompt caching (significant cost reduction), strategic model selection (Haiku, Sonnet, Opus) based on task complexity, implementing streaming for perceived speed, and managing token limits. Use this guide when building high-performance, cost-efficient LLM applications that interact with large language models.

This guide teaches developers how to implement robust, event-driven architecture patterns with the Anthropic Claude API. It covers two key methods: Server-Sent Events (SSE) for real-time streaming responses, and the Message Batches API for high-volume, asynchronous bulk processing. Use this when building real-time chat features or processing large datasets offline.

This guide provides comprehensive strategies and scripts for optimizing Apple Notes storage usage within iCloud. It helps users understand how Notes, attachments, and backups contribute to overall iCloud consumption, enabling them to stay within free tiers or plan for necessary upgrades. Includes scripts for auditing storage, archiving old notes, and moving large content to local storage.

A comprehensive guide and set of production-tested scripts for migrating notes between popular platforms like Apple Notes, Obsidian, and Notion. It addresses key technical challenges such as proprietary HTML-to-Markdown conversion, attachment handling limitations, and utilizes JXA/Bash scripting specific to macOS environments for seamless knowledge base integration.

A comprehensive checklist and script guide for validating all dependencies before deploying Apple Notes automation on a production macOS machine. It covers TCC permissions, iCloud sync health, application configuration, error handling robustess, and cross-OS compatibility checks, ensuring zero missed steps when automating notes management.

A comprehensive reference architecture detailing how to automate Apple Notes on macOS. Since there is no public REST API, this system relies on a layered approach using Node.js, JXA scripting via osascript, local SQLite caching, and FSEvents polling. It outlines best practices for creating robust, local automation solutions for note management and data export.

A comprehensive setup guide for establishing a fast, reproducible local development environment for AssemblyAI projects. It incorporates hot reloading, local caching of transcription results, and mocked testing utilities to ensure rapid iteration cycles without relying on live API keys or incurring costs. Ideal for setting up new services or enhancing existing AI workflows.

This guide provides comprehensive strategies for optimizing API usage and managing costs associated with the Attio platform. Learn how to audit current usage patterns, implement smart caching tiers (schema, records, queries), and replace inefficient polling mechanisms with webhooks to significantly reduce request volume and stay within budget limits.

This skill provides comprehensive strategies for optimizing API usage with BambooHR. It helps developers reduce unnecessary API calls, preventing rate limiting errors (503s) and ensuring stable system synchronization. Learn critical best practices such as replacing inefficient polling with webhooks, implementing robust data caching, and precisely requesting only the necessary fields.

This comprehensive guide details advanced techniques for optimizing Bright Data API scraping performance. It covers implementing connection pooling, robust response caching layers (LRU Cache), and managing concurrent requests with backpressure control. Use this when facing slow API responses or requiring high-throughput, scalable data extraction.

This guide provides strategies to optimize the usage and costs associated with the Canva Connect API. It covers best practices such as aggressive metadata caching, implementing export tracking to prevent duplicates, managing pagination efficiently, and monitoring API call volume to stay within rate limits and budget constraints.