Skill UI

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 comprehensive skill guides users through installing and configuring the necessary SDKs (jsforce, simple-salesforce) to connect programmatically to Salesforce. It thoroughly covers multiple industry-standard OAuth 2.0 flows, including Username-Password, JWT Bearer, and Web Server flow. This is essential for setting up secure, robust integrations in new projects, CI/CD pipelines, or user-facing applications requiring access to Salesforce data.

This guide outlines the complete workflow for setting up a fast, reproducible local development environment for Salesforce. It covers initializing SFDX projects, managing scratch orgs, integrating Node.js for backend logic, and configuring hot reload and unit/integration testing using modern tools like Vitest. Ideal for developers aiming for rapid iteration and robust testing cycles.

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.

This comprehensive guide details setting up robust CI/CD pipelines using GitHub Actions for testing SalesLoft API integrations. It enables running unit tests with mocked responses, performing live integration tests against the actual SalesLoft API (including OAuth token validation and connectivity checks), and ensuring deployment stability. Use this skill when automating quality assurance, validating API endpoints, or managing complex SaaS workflow deployments.

This comprehensive workflow manages core SalesLoft records via the REST API. It allows users to search for or create people records, list active outbound cadences, and enroll prospects in specific campaigns. Ideal for automating prospect management, building scalable outreach sequences, and optimizing the sales pipeline.

This workflow utilizes the SalesLoft REST API to comprehensively track and analyze sales engagement. Users can retrieve detailed information on emails (tracking opens, clicks, and replies), log call activities (including disposition and sentiment), and aggregate metrics across entire cadences to build performance dashboards. Ideal for sales operations and data analysts needing deep insights into prospect interactions.

This guide provides a comprehensive walkthrough for setting up secure API access to the SalesLoft REST API v2. It covers multiple authentication methods, including OAuth 2.0 flows (Authorization Code and Client Credentials) and API Key usage. Use this when integrating SalesLoft features into external applications, scripts, or automated workflows.

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.

This guide provides comprehensive steps for migrating existing integrations interacting with the SalesLoft REST API. It focuses on critical transitions, such as moving from deprecated static API keys to secure OAuth 2.0 flows (including client credentials and token refreshing). It also covers adopting new features, such as the Cadence Import/Export API, and best practices for handling endpoint changes and schema updates during major platform upgrades.

This guide details how to scaffold complete, structured exercise directory setups, including mandatory sections for problems, reference solutions, and conceptual explainers. It outlines precise naming conventions, required files (like readme.md and main.ts), and a robust workflow that ensures the setup passes linting checks. It is ideal for creating new course modules, generating exercise stubs, or structuring large-scale educational curricula.

An advanced AI tool utilizing Meta's Segment Anything 2 (SAM2) model for interactive, pixel-perfect object segmentation. Users can click on any object within a frame or video to automatically generate precise masks. Key features include point/box prompting, video tracking across multiple frames, and seamless integration into Annotation Studio workflows, making it ideal for large-scale data labeling and video analysis pipelines.