Skill UI

This skill provides minimal working examples for connecting to Salesforce, executing SOQL queries, and performing full CRUD (Create, Read, Update, Delete) operations on standard sObjects. Examples are provided in both TypeScript and Python. It is ideal for initial Salesforce integration testing, learning core API patterns, or performing basic data manipulation in a Salesforce environment.

This guide identifies the most common and costly anti-patterns encountered when developing or integrating with Salesforce. It covers critical topics such as SOQL N+1 queries, proper API limit management, preventing SOQL injection, and optimizing data retrieval. Use this resource when reviewing existing Salesforce code, onboarding new developers, or auditing integrations to ensure best performance and scalability.

This guide provides comprehensive methods for load testing and capacity planning specifically for Salesforce integrations. It walks users through calculating API limit budgets, running high-volume performance tests using tools like k6, and optimizing Bulk API throughput. Use this when scaling complex, high-volume, or mission-critical Salesforce processes.

A comprehensive guide detailing professional data migration strategies for Salesforce. It covers utilizing Bulk API 2.0, implementing ETL patterns, complex schema mapping, and preserving object relationships (parent-child). Ideal for large-scale CRM data transfers, org-to-org migrations, and data re-platforming.

Provides comprehensive observability for Salesforce integrations, covering API limit monitoring, SOQL performance tracking, error rate analysis, and structured logging. Use this skill when building robust, reliable connections to Salesforce, ensuring you track API consumption, detect performance bottlenecks, and set up critical alerting using tools like Prometheus and Grafana.

Master advanced techniques for optimizing Salesforce API interactions. This guide covers optimizing SOQL queries using selective fields and indexed WHERE clauses. It details methods to minimize API calls by utilizing Collections and Composite APIs, implementing metadata caching, and efficiently streaming large result sets via Bulk API 2.0, ensuring stable and high-performance integrations.

This skill guides the implementation of robust, real-time data integrations with Salesforce. It covers three critical mechanisms: Change Data Capture (CDC) for tracking record changes, Platform Events for custom business event buses, and handling Outbound Messages. Learn how to build resilient, event-driven architectures using asynchronous streaming protocols and ensure idempotent event processing.

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 guide provides a quick reference for the most common SalesLoft REST API v2 errors, including 401 (Unauthorized), 403 (Forbidden), 422 (Validation), 429 (Rate Limit), and 5xx (Server Errors). It details the causes, specific fixes, and best practices, helping developers quickly diagnose and resolve integration issues to ensure seamless data exchange within the SalesLoft platform.

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 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.

This guide provides advanced techniques to optimize interactions with the SalesLoft REST API v2. Key strategies include implementing LRU caching for frequently accessed data, utilizing incremental sync with `updated_at` filtering to avoid costly deep pagination, configuring connection pooling for stability, and running parallel reads safely. Use this when experiencing high latency, managing large datasets, or minimizing API usage costs for bulk operations.