Skill UI

A comprehensive checklist for validating the production readiness of design-to-code pipelines, specifically for Anima's service converting Figma designs into React, Vue, and HTML. Use this guide when deploying automated code generation services, setting up CI/CD for design handoffs, or validating output quality to ensure component integrity and prevent production failures.

A comprehensive guide and set of scripts for performing load testing and capacity planning for Anthropic's Claude API. This resource helps developers benchmark performance, anticipate traffic spikes, manage rate limits (RPM/ITPM/OTPM), and implement robust horizontal scaling strategies for mission-critical AI services using Python.

This guide provides a comprehensive deep dive into migrating applications from OpenAI (GPT) to Anthropic (Claude). It details critical API differences, including changes in system prompt handling, function calling formats, and response parsing. It also demonstrates how to build a robust, multi-provider abstraction layer for seamless LLM switching.

Provides validated architectural patterns for integrating Claude API into production systems. Learn to implement synchronous API gateways, scalable asynchronous queue-based processing, and multi-model routing strategies. This guide helps developers design robust, high-volume, and fault-tolerant AI applications.

This comprehensive guide covers the full lifecycle of Apify Actors, enabling deployment from local environments to production platforms. Learn to trigger scraping tasks via APIs (e.g., Next.js routes), consume structured data, and handle results asynchronously using webhooks in frameworks like Express.js. Ideal for building robust, data-driven web services and automating data pipelines.

Learn production-grade, scalable architectural patterns for building robust scraping systems using Apify. This guide details structures for standalone scrapers, complex multi-stage pipelines (Discover, Scrape, Transform), and integrating Apify into full-stack applications for powerful data extraction.

This guide details how to configure and implement Apify webhooks for robust, event-driven data pipelines. Learn to receive real-time notifications when Actor runs start, succeed, fail, or time out. By supporting both persistent (all runs) and ad-hoc (single run) webhooks, this pattern is ideal for building highly reliable and scalable production scraping integrations.

This comprehensive guide demonstrates how to programmatically interact with Apple Notes on macOS. It covers essential functions like creating new notes, listing all notes, reading specific content, searching by keywords, organizing notes into folders, and deleting entries. It primarily utilizes JXA (JavaScript for Automation) and AppleScript via the command line (osascript). Ideal for developers learning native macOS automation or integrating Notes management into larger workflows.

Provides a robust, iterative development workflow for automating Apple Notes using JXA (JavaScript for AppleScript). This setup includes file-watching hot-reloading for rapid testing and helper functions to simulate note CRUD operations, significantly speeding up the development process.

This guide addresses the performance degradation when automating Apple Notes, especially with large note collections (10,000+). It details architectural patterns, caching strategies, and scripting best practices (like batch processing and incremental sync) to prevent bottlenecks caused by excessive IPC calls, ensuring automation remains responsive at scale.

A comprehensive, production-ready reference architecture for building robust, scalable transcription services using AssemblyAI. This guide demonstrates best practices for layered system design, covering API endpoints, service logic, client management, and infrastructure integration (webhooks, database). It is ideal for designing new high-throughput speech-to-text applications.

A progressive walkthrough demonstrating core Attio API calls. Learn how to interact with the object/record model by listing objects, querying attributes, creating records (Person/Company), and linking related data. Ideal for developers starting a new Attio integration.