Skill UI

This guide provides production-ready patterns for building robust integrations with the Clay platform. It covers interacting with Clay via webhooks (inbound data), HTTP API enrichment columns (outbound data), and the Enterprise API. Implementation examples are provided in TypeScript and Python, ensuring reliable, reusable, and scalable data pipeline construction.

A comprehensive guide and implementation framework for managing real-time data flow using Clay's event-driven architecture. This skill covers both inbound webhooks (POSTing data into Clay tables) and outbound HTTP API callbacks (receiving enriched data from Clay). It provides production-ready TypeScript code for setup, signature verification, and idempotent processing, enabling robust, event-driven integrations.

This skill provides comprehensive patterns for integrating external applications with the Lindy AI platform. It covers three primary channels: Webhook triggers for receiving inbound data, HTTP actions for making outbound API calls, and executing custom Python/JavaScript code (Run Code). Use this when building complex, multi-step automation workflows or connecting internal systems to Lindy agents.

Comprehensive skill for configuring advanced Lindy AI integration using webhooks. This covers three key patterns: Inbound webhooks (external systems triggering Lindy), Outbound requests (Lindy calling external APIs), and two-way Callback mechanisms for asynchronous communication. Use this skill when building complex, event-driven workflows that require reliable, real-time data exchange between your applications and the AI agent.

A comprehensive workflow designed for advanced voice agent and telephony operations using Retell AI. This tool facilitates complex call management, including running outbound campaigns, handling call transfers, and managing concurrent calls. Users can list call details, retrieve high-fidelity recordings, and access full transcripts to analyze communication outcomes.

This comprehensive guide demonstrates how to build and test a voice agent using the Retell AI SDK in TypeScript. It walks through configuring the underlying LLM with a custom persona, creating the voice agent instance, and finally initiating both outbound phone calls and web calls through the API. This is essential for integrating AI-powered voice communication into customer service platforms, call centers, or telephony automation systems.

This resource provides production-ready, structured patterns for building robust voice agent applications using the Retell AI SDK. It covers best practices such as implementing singleton client management, defining typed agent configurations with integrated LLMs, adding automatic retry logic for call failures, and managing large-scale outbound campaigns. Use this when building stable, scalable, and reliable voice automation systems.

Deploy projects or websites instantly to Vercel using preview mode, with fallback scripts handling packaging and authentication, and guidance for escalated network access when sandboxing blocks outbound requests.

This guide provides comprehensive solutions for handling Vercel API rate limits (HTTP 429 errors). It covers implementing robust retry logic with exponential backoff for consuming Vercel's outbound APIs. Furthermore, it demonstrates how to configure Vercel's WAF rate limiting and custom edge configurations to protect your own deployed API endpoints, ensuring stability and preventing service abuse.

This skill guides the implementation of Electronic Data Interchange (EDI) standards (X12, EDIFACT) within Odoo. It covers mapping complex B2B transaction sets—such as Purchase Orders (850), Invoices (810), and Advance Ship Notices (856)—to specific Odoo business objects. Use this to automate inbound and outbound document flows, ensuring seamless, automated data exchange with trading partners.

Enables an OpenClaw agent to place managed outbound phone calls for alerts, briefings, reminders, and urgent notifications without Twilio, combining REST-triggered dialing with transcription and TTS so conversations feel like chat.

This framework provides a systematic blueprint for building a scalable, predictable B2B sales machine. It emphasizes the critical principle of role specialization (SDR, AE, CSM) and modern outbound prospecting (Cold Calling 2.0) to ensure repeatable growth. Use this guide when optimizing your sales pipeline, defining lead generation strategies, or scaling B2B SaaS operations.