Orchestrate tool execution via an AI agent in TypeScript applications.
npx skills add https://github.com/porkytheblack/glove --skill glove
Please help me install this Agent Skill. Skill: glove Source: https://github.com/porkytheblack/glove/tree/main/.claude/skills/glove Command: npx skills add https://github.com/porkytheblack/glove --skill glove
This Skill helps developers build AI-powered applications by providing a framework that replaces traditional UI routing with an AI agent, enabling conversational app development.
search_knowledge_base or create_ticket to resolve them.Use the glove skill to define a new tool for fetching weather data.
High-intent search queries and answers about installing and using this skill.
To build AI apps as conversations in TypeScript, you can use a framework that replaces traditional UI routing with an AI agent. This agent orchestrates tool execution dynamically based on conversational user input.
Conversational AI agent orchestration uses an AI agent to replace traditional UI routing by deciding when to execute defined tools. The agent maps user input directly to the appropriate application capabilities.
Yes, the framework supports React and Next.js bindings. It provides dedicated packages for core runtime, React integration, Next.js integration, and voice pipeline adapters to streamline development.
Yes, the framework supports OpenAI, Anthropic, and Google Gemini models. It allows developers to integrate multiple AI providers to power the conversational agent orchestration.
To define tools for an AI agent in a TypeScript application, you declare specific capabilities like `search_knowledge_base`. The agent then autonomously decides when to execute these tools based on conversational input.
The best way to create a customer support chatbot that uses tools automatically is to use a conversational AI framework. You define tools like `search_knowledge_base` or `create_ticket`, and the AI agent autonomously resolves issues.
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