Skill UI

A comprehensive checklist designed to guide users through deploying Framer integrations to a live production environment. It covers best practices for plugins, code components, server API synchronization (CMS), and final site publishing, ensuring a thorough and reliable go-live process.

Provides comprehensive instructions and code examples for deploying Bright Data-powered scraping applications to major cloud platforms, including Vercel, Fly.io, and Google Cloud Run. This guide covers critical aspects such as managing environment secrets, configuring proxy connectivity (TCP ports 33335/9222), and adapting code for serverless vs. long-running environments, ensuring successful production deployment.

A comprehensive guide for diagnosing and fixing common errors encountered when integrating with the Anthropic API (Claude). It covers critical issues such as authentication failures (401), rate limiting (429), server overload (529), invalid requests, and context window limits. Includes practical code solutions and best practices for robust API integration.

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.

This comprehensive guide presents three validated architectural blueprints for integrating Adobe services (Firefly, PDF, etc.). It helps developers decide between simple direct SDK integration (suitable for MVPs), native Adobe App Builder (serverless functions), or robust, high-throughput dedicated microservices, based on team size, complexity, and required scalability.

Facilitates the secure deployment of Adobe-powered applications across multiple modern cloud environments, including Vercel (serverless), Google Cloud Run (containers), and Adobe App Builder. This integration manages complex OAuth credential injection and sets up health monitoring endpoints, making it ideal for moving Adobe API integrations into production systems.

A comprehensive setup for creating a fast and reproducible local development loop for building Attio REST API integrations. This guide includes project structure setup, typed client generation, a mock server implementation (using MSW) for offline development, and a full test harness for unit and integration testing. Ideal for developers building complex SaaS integrations.

This tool collects comprehensive, HIPAA-safe diagnostic data for Abridge support and troubleshooting. It gathers environment variables, connectivity status to Abridge APIs and FHIR servers, recent error logs, and session diagnostics. Essential for filing support tickets or escalating issues to engineering teams.

This workflow establishes a comprehensive local environment for developing and testing clinical AI integrations. It simulates an Electronic Health Record (EHR) using a local HAPI FHIR server and utilizes synthetic patient data. Developers can iterate on complex encounter workflows and API connections safely, without ever using real Protected Health Information (PHI).

This comprehensive guide walks through setting up Adobe Developer Console OAuth Server-to-Server credentials. It is critical for establishing any new programmatic integration with Adobe services, including Firefly AI, PDF processing, and Creative Cloud access. The process covers project setup, installing various SDKs (Node.js/Python), and securely generating access tokens.

A comprehensive guide for developers tackling critical Adobe API upgrades. It covers major breaking changes and migration paths, including transitioning from JWT to OAuth Server-to-Server authentication, updating the PDF Services SDK from v3 to v4 (job-based API), and migrating Photoshop endpoints from v1 to v2. Essential for ensuring stable integration with Adobe Creative Cloud services.

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.