Skill UI

A comprehensive checklist and implementation guide for utilizing RunwayML's API for advanced AI video generation and image editing. This skill provides the Python SDK pattern, covering tasks like image-to-video creation, model selection, and waiting for task completion. It also includes critical error handling for common issues (e.g., unauthorized access or insufficient credits), making it essential for developers building production-level creative AI applications.

This comprehensive tool facilitates the secure deployment of Node.js applications connected to Salesforce across major cloud environments like Heroku, Vercel, and Google Cloud Run. It manages complex authentication using JWT Bearer flow and handles platform-specific secret configuration, ensuring seamless migration of Salesforce-powered applications from sandbox to production.

This guide provides a comprehensive workflow for configuring and managing Salesforce integrations across multiple environments, including Development, various Sandboxes (QA, Staging), and Production. It covers best practices for environment-specific credential handling, utilizing secrets managers (Vault, AWS/GCP), and establishing robust CI/CD deployment promotion flows using Salesforce CLI and code examples.

A comprehensive, step-by-step checklist for safely deploying Salesforce integrations to a production environment. This guide covers critical stages including pre-deployment configuration, sandbox validation, API limit planning, code quality enforcement, health endpoint checks, and detailed rollback procedures, ensuring smooth and reliable go-live.

A comprehensive guide outlining production-ready reference architectures for building robust Salesforce integrations. Covers best practices for Node.js integration apps, SFDX metadata projects, and implementing modern event-driven sync patterns (e.g., CDC). Use this guide when designing complex Salesforce solutions, reviewing project structure, or establishing enterprise-level architectural standards.

This comprehensive guide teaches how to build fault-tolerant, production-grade Salesforce integrations. It covers key reliability patterns including circuit breakers for API outages, idempotent upserts using External IDs, advanced retry logic with error classification, and graceful degradation using fallback caching. Use it when designing mission-critical services that must remain resilient against network failures and API limits.

A comprehensive guide providing production-ready patterns for integrating with Salesforce using jsforce (TypeScript) and simple-salesforce (Python). These patterns cover essential topics such as implementing singleton connection management with automatic token refresh, defining typed sObject interfaces, building type-safe SOQL query builders, and wrapping API calls with robust error handling mechanisms. Ideal for developers refactoring existing Salesforce integrations or establishing standardized team coding practices.

This guide provides comprehensive instructions for deploying SalesLoft-powered applications to major cloud platforms like Vercel, Fly.io, and Google Cloud Run. It covers essential production setup tasks, including secure secret management, configuring HTTPS webhook endpoints, and implementing robust health checks to ensure reliable operation in a live environment.

Configures a robust local development workflow for SalesLoft integrations. This guide teaches developers how to implement API mocking and environment separation using tools like Vitest and Axios. It allows for safe, fast, and reliable unit and integration testing without relying on an official sandbox environment, ensuring optimal development cycles for SaaS products.

A comprehensive go-live checklist for deploying SalesLoft API integrations. It covers essential operational aspects including robust authentication, detailed error handling (401, 429, 5xx), rate limit management, health monitoring setup, data integrity checks (idempotency), and mandatory rollback procedures to ensure reliable production operation.

This document provides a comprehensive, production-grade reference architecture for integrating with the SalesLoft API. It details the best practices for building robust systems, including structured API clients with rate-limit handling, dedicated service layers for business logic (e.g., People Sync), reliable webhook processing, and background job scheduling. Use this guide when designing scalable, resilient, and maintainable integrations with external SaaS platforms.

Provides production-ready, robust patterns for interacting with the SalesLoft REST API v2. This pattern solves common integration challenges by offering a type-safe client singleton, automatic iteration over paginated results, and intelligent handling of rate-limiting errors (429). Ideal for building scalable, reliable SalesLoft integrations using TypeScript or Python.