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Automate iOS and Android app interactions with snapshot-based discovery and selector-driven replay. \n \n Supports iOS simulators/devices and Android emulators/devices with session-bound automation, multi-tenant remote daemon mode, and device-scope isolation for QA workflows \n Core commands: snapshot for UI discovery with refs, press / fill / scroll for interactions, open / close for app lifecycle, install / reinstall for binary deployment \n Includes utilities for logging, network inspection,

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$22

Generate a complete TypeSpec declarative agent for Microsoft 365 Copilot with instructions, capabilities, and conversation starters. \n \n Produces a main.tsp file with agent declaration, instructions, conversation starters, and capability definitions following Microsoft's TypeSpec M365 Copilot schema \n Supports 10 capability types including WebSearch, OneDriveAndSharePoint, TeamsMessages, Email, People, CodeInterpreter, GraphicArt, GraphConnectors, Dataverse, and Meetings with optional scoping

The CLI uses Chrome/Chromium via CDP directly. Install via npm i -g agent-browser, brew install agent-browser, or cargo install agent-browser. Run agent-browser install to download Chrome.

A proactive, self-improving architecture for your AI agent.

Model strings follow provider:model-name format:

An optional, conversational workflow for creating a system prompt for an AI agent that uses the Sanity Agent Context MCP. This is for users who control the system prompt in their agent setup.

Create skills that follow the Agent Skills open format. Covers the full lifecycle from pattern selection through validation and README update.

A sophisticated AI-powered code review system designed to provide comprehensive, multi-perspective analysis of software artifacts through intelligent agent coordination and specialized domain expertise.