Skill UI

This skill provides implementation patterns for integrating with the Procore platform using webhooks and the REST API. It is designed for automating core construction management workflows, such as handling project progress, managing RFIs (Requests for Information), and processing submittals. It covers API authentication (OAuth2) and robust error handling for enterprise-level project automation.

Qdrant is a high-performance vector database. This client SDK suite provides official, easy-to-use libraries for multiple programming languages (including Python, Java, Go, and TypeScript). It enables developers to seamlessly integrate sophisticated vector search capabilities into their applications, supporting both REST and gRPC APIs. Ideal for building semantic search engines, recommendation systems, and advanced AI applications.

This workflow provides comprehensive methods for executing core Create, Read, Update, and Delete (CRUD) operations on standard Salesforce objects, including Accounts, Contacts, Leads, and Opportunities. It utilizes both powerful SOQL querying for data retrieval and the robust REST API for bulk modifications and advanced integrations, making it ideal for automating complex CRM and sales processes.

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 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.

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.

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.

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 skill guides developers and SaaS founders on minimizing operational costs when building on the Shopify platform. It covers deep dives into Shopify store plan rate limits, optimizing GraphQL and REST API usage, implementing robust cost tracking mechanisms, and applying advanced strategies like caching and bulk operations to reduce billable expenditures.

This script collects comprehensive diagnostic evidence necessary for resolving persistent Shopify issues. It gathers critical data points such as API version compatibility, access scopes, GraphQL and REST rate limit status, and environment details, packaging everything into a single, redacted archive for easy submission to technical support. Use this when troubleshooting complex platform errors or preparing a detailed support ticket.