agent▌

Browser automation and end-to-end testing using Vercel's agent-browser CLI. Uses ref-based element targeting for reliable, AI-friendly browser interaction.

Agents are autonomous subprocesses that handle complex, multi-step tasks independently. Understanding agent structure, triggering conditions, and system prompt design enables creating powerful autonomous capabilities.

When agents struggle with a codebase, they are reflecting and amplifying the codebase's existing weaknesses. This skill evaluates codebases against five principles that determine agent effectiveness, and provides concrete guidance to improve each one. It adapts to the project's language and stack.

Use this skill when you are asked to hire/create an agent.

Comprehensive patterns for building and coordinating AI agents -- from single-agent reasoning loops to multi-agent systems and framework selection. Each category has individual rule files in rules/ loaded on-demand.

Create, manage, and orchestrate multiple AI agents through a unified CLI. Handles the full agent lifecycle: create, hibernate, wake, rename, export/import, and plugin management. Part of the AI Maestro suite.

Version: 0.1.0-preview | Last Updated: 2025-11-15 | Framework Version: 0.1.0-preview Languages: Python 3.10+, C# (.NET 8.0+) | License: MIT

This skill supports two frameworks for building Slack agents:

This skill helps you run automated liquidity provision strategies on concentrated liquidity (CLMM) DEXs using Hummingbot API.

Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.