Skill UI

This runbook provides systematic procedures for diagnosing and resolving common automation failures specific to Apple Notes on macOS. It covers critical local issues like app crashes, iCloud sync failures, TCC permission revocations, and database corruption, following a comprehensive detect-diagnose-fix-verify cycle. Essential for maintaining reliable Notes automation workflows.

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 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.

This comprehensive guide outlines essential security best practices for developing automation scripts that interact with Apple Notes on macOS. It covers critical areas such as managing TCC permissions, preventing data leakage, securely exporting content, and handling end-to-end encrypted notes (locked notes). Use this resource when building robust, secure, and compliant applications within the Apple ecosystem.

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 a set of production-grade TypeScript patterns for robust interaction with the Attio REST API. It covers essential best practices including typed clients, automatic retry mechanisms with exponential backoff, cursor-based pagination iterators, and multi-tenant factory implementation, ensuring reliable and scalable API integration. Use these patterns to handle common API challenges like rate limiting and large datasets efficiently.

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.

A comprehensive guide to setting up a fast, reproducible local development environment for BambooHR integrations. This workflow incorporates hot reloading, API mocking (using MSW), and robust unit/integration testing. It allows developers to establish a rapid, isolated, and stable iteration cycle for building or testing third-party HR platform connections.

This comprehensive guide details the process of managing BambooHR API changes, addressing breaking changes, and migrating from legacy patterns. It covers critical tasks such as converting XML to JSON, updating deprecated field usages (e.g., 'bestEmail' to 'workEmail'), and implementing robust testing and rollback strategies for seamless integration.

This comprehensive bundle collects all necessary diagnostic information for Bright Data troubleshooting. It captures proxy connectivity details, zone status, response headers, and relevant error logs. Use this tool when encountering persistent connectivity issues or when preparing a detailed technical support ticket for Bright Data support.

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.

A comprehensive guide detailing three validated architectural patterns (Monolith, Service Layer, Microservice) for integrating with the Canva Connect API. This blueprint helps developers choose the optimal structure—from simple MVPs to complex enterprise systems—by addressing concerns like token management, asynchronous exports, rate limiting, and scaling strategies.