Skill UI

This utility provides a structured way to manage and separate notes across multiple accounts and environments within Apple Notes. By utilizing distinct accounts (e.g., iCloud for Production, 'On My Mac' for Development), users can ensure absolute data isolation between development, staging, and live production data. It is crucial for maintaining clean separation in complex development workflows and QA testing scenarios.

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.

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.

This guide provides comprehensive instructions for setting up the AssemblyAI SDK in both Node.js and Python environments. It covers package installation, secure API key management using environment variables, and client initialization for utilizing transcription and streaming services.

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 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 guide provides essential security controls for integrating with the Attio REST API. It details best practices for managing API tokens, including applying least-privilege scopes, implementing secure secret management across various platforms (AWS, Vercel, etc.), executing proper token rotation, and validating webhook signatures to prevent common security vulnerabilities.

Configure comprehensive CI/CD pipelines for BambooHR integrations. This skill guides users through setting up automated testing (unit and integration), managing secrets using GitHub Actions, and ensuring robust API health checks within their development workflow.

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 guide provides comprehensive steps to install and configure authentication for the BambooHR REST API. It utilizes HTTP Basic Authentication, requiring users to set up environment variables with their API key and company domain. The content includes setup instructions for Node.js and Python, along with full code examples for verifying a successful connection and retrieving employee directory data.