Skill UI

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.

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.

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.

A comprehensive, production-grade reference architecture for integrating with BambooHR HR data. It covers core patterns like real-time employee synchronization, scheduled data pipelines, and event-driven webhook handling. Use this when designing complex HR systems, building robust integrations, or establishing architectural standards for BambooHR-powered applications.

This tool provides comprehensive load testing, auto-scaling simulation, and capacity planning for Canva Connect API integrations. It is essential for performance testing, managing complex rate limits (both per-user and global), and ensuring robust, scalable production workloads for Canva-dependent applications.

A comprehensive guide detailing how to securely configure and manage Canva Connect API integrations across development, staging, and production environments. This resource covers environment strategy, best practices for OAuth credential management, secret handling (AWS, GCP, Vault), and implementing environment isolation guards to ensure secure and scalable deployments.

Provides a comprehensive checklist for deploying Canva Connect API integrations to a production environment. It covers critical aspects like OAuth configuration, robust security measures (e.g., JWK signature verification, least privilege), rate limit handling, error response management, and final production readiness verification, ensuring a smooth and secure launch.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.

A comprehensive guide for debugging complex Claude integration issues beyond basic error handling. It covers advanced patterns such as managing inconsistent outputs (temperature control), validating tool use calls, recovering from streaming connection drops, handling max_tokens truncation, and correctly processing image/vision inputs. Essential for building robust, production-grade AI applications with Anthropic's API.

Automate the testing and validation of Clari export pipelines within a Continuous Integration/Continuous Deployment (CI/CD) environment. This tool helps developers ensure API connectivity, validate export schemas, and systematically test the reliability of Clari integrations, preventing deployment issues before they reach production.

A collection of production-ready client implementation patterns for interacting with the Clari v4 API, provided in both Python and TypeScript. This guide covers essential functionalities like listing and exporting forecast data, implementing job polling, and managing complex data transformation pipelines, ensuring reliable and reusable integration for development teams.