Skill UI

A production-ready guide detailing the best-practice architecture for integrating with the Canva Connect API. It outlines the project structure, layer architecture (Routes, Services, Client, Infrastructure), authentication flow (OAuth 2.0 PKCE), and best practices for handling design creation, asset management, and exports. Use this when building new Canva-powered applications or standardizing existing integration projects.

A collection of production-ready patterns for wrapping the Canva Connect REST API, supporting both TypeScript and Python implementations. These patterns ensure robust API integration by handling automatic OAuth token refresh, implementing retry logic with exponential backoff, ensuring type safety, and supporting multi-tenant architectures. Use this when building resilient, reusable API wrappers for Canva services.

This comprehensive guide diagnoses and fixes common Clari API errors, including 401 Unauthorized, empty exports, job timeouts, and data mismatches. It provides step-by-step solutions for debugging data extraction and forecasting issues using API calls.

This skill provides blueprints for deploying Clari data export pipelines into robust, production-grade cloud environments. It guides users on setting up reliable, scheduled, and serverless data syncs using major platforms like Airflow DAGs, AWS Lambda, and Google Cloud Functions. Ideal for automating revenue forecasting and business intelligence data extraction.

A comprehensive workflow for setting up local development environments for Clari API integrations. It allows users to mock forecast data, test complex export pipelines, and iterate on data transformation logic (such as forecasting and aggregation) without requiring live API calls. Ideal for building robust dashboards and validating data workflows.

A comprehensive guide and implementation pattern for handling rate limits and quotas across various Adobe APIs (Firefly, PDF Services, Photoshop, etc.). This includes implementing exponential backoff, honoring `Retry-After` headers, and proactive quota tracking to ensure stable, high-throughput batch operations and reliable integration.

A comprehensive guide to production-ready patterns for integrating with Adobe services (Firefly, PDF, etc.). This includes robust authentication with token caching, typed API wrappers with advanced error classification, exponential backoff retry mechanisms, and job polling for asynchronous tasks. Essential for building reliable and maintainable Adobe API integrations in TypeScript or Python.

A comprehensive guide and implementation for setting up Continuous Integration and Continuous Deployment (CI/CD) pipelines for dApps powered by Alchemy. It utilizes GitHub Actions to automate critical Web3 workflows, including running Hardhat tests against a mainnet fork, verifying smart contract integrity, and securely deploying to testnets like Sepolia. Features built-in key exposure scanning for robust security.

This integration facilitates the secure deployment of Alchemy-powered decentralized applications (dApps) across major cloud platforms like Vercel and Google Cloud Run. It is designed to ensure that sensitive Alchemy API keys are treated as server-side secrets, preventing client-side exposure. Use this when setting up backend services, RPC proxies, or deploying production-grade Web3 applications requiring secure access to blockchain data.

This guide provides comprehensive strategies for managing Algolia's rate limits and throttling mechanisms. It covers per-API-key limits (e.g., max queries per hour) and server-side indexing queue limits. Learn how to implement robust backoff strategies, exponential backoff, and controlled batch indexing using TypeScript examples to ensure application stability under high load.

This skill provides robust strategies for managing AppFolio API rate limits. It implements token bucket throttling, exponential backoff, and comprehensive retry logic to ensure reliable execution of high-volume operations, such as bulk tenant imports, rent-roll syncs, and work-order batch updates. It prevents API quota exhaustion during peak usage times.

This skill provides comprehensive methods for accessing, exporting, and transforming data from Apple Notes. It addresses the specific HTML structure of note bodies, handling rich content like checklists, tables, and attachments. Users can export notes to structured formats like JSON (for backups/migration) or convert the HTML content to Markdown format, ensuring data integrity across different platforms and automating migration pipelines.