What problem does it solve? Building autonomous AI agents that run continuously and respond to external triggers requires significant infrastructure work, from orchestration to credential management. This Skill guides you through the AutoGPT platform so you can create, deploy, and monitor persistent agents without building that plumbing yourself. ## Core Features & Use Cases - Visual Agent Builder: Compose agents as graphs of connected blocks (LLM calls, webhooks, integrations) through a drag-and-drop interface or programmatically via the REST API. - Continuous Execution & Triggers: Run agents persistently with manual API calls, webhook triggers, or cron-style schedules, monitored via WebSocket updates. - Forge Toolkit & Benchmarking: Develop custom agents and abilities with the Forge toolkit, then validate performance with the agbenchmark framework. - Use Case: You want an agent that monitors a GitHub repository via webhook, summarizes new issues with an LLM, and posts results to Discord on a schedule. This Skill walks you through wiring those blocks, adding credentials, and deploying with Docker Compose. ## Quick Start Use the autogpt skill to help me build an agent that summarizes new GitHub issues and posts them to Discord.
