ai-tools

Reference AI tools in DBX Studio's chat system with provider integrations.

82|10|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Dbxstudio/dbx-studio --skill ai-tools-dbxstudio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-tools
Source: https://github.com/Dbxstudio/dbx-studio/tree/main/.claude/skills/ai-tools
Command: npx skills add https://github.com/Dbxstudio/dbx-studio --skill ai-tools-dbxstudio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive reference for all AI tools integrated into DBX Studio's AI chat system, streamlining the process of managing, understanding, and developing these tools.

Core Features & Use Cases

  • Tool Discovery: Quickly find available AI tools, their purposes, and required parameters.
  • Provider Information: Understand which AI providers are supported and where their integration logic resides.
  • Development Guidance: Learn how to add new tools, modify existing ones, and understand format conversions for different AI models.
  • Use Case: A developer needs to add a new data visualization tool to the AI chat. They consult this Skill to understand the AI_TOOLS structure, the toolExecutor.ts logic, and how to format the tool for different providers like OpenAI and Anthropic.

Quick Start

Refer to the ai-tools skill to find the location of the tool definitions for the AI chat system.

Frequently Asked Questions about ai-tools

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add a new AI tool to the DBX Studio chat system?

To add an AI tool to the DBX Studio chat system, reference the AI_TOOLS structure to define the tool, then implement the execution logic and specify required parameters for provider integration.

What AI providers are supported for tool integration in DBX Studio?

DBX Studio supports provider integrations for multiple AI services, including OpenAI and Anthropic, detailing where the integration logic resides and how to format tools for each specific AI model.

How does tool execution logic work for AI chat systems?

Tool execution logic in AI chat systems defines how a tool processes parameters and returns results. In DBX Studio, this logic resides in the toolExecutor file, managing interactions across supported AI providers.

Where can I find the definitions and parameters for available AI tools?

You can find available AI tools, their definitions, and required parameters by referencing the AI_TOOLS structure within DBX Studio, which streamlines tool discovery and development guidance.

How do I format AI tools for different models like OpenAI and Anthropic?

You format AI tools for different models by applying the necessary format conversions detailed in the DBX Studio provider integration logic, ensuring compatibility across various AI services like OpenAI and Anthropic.

Can I use DBX Studio to debug existing AI tool functionalities?

Yes, DBX Studio is applicable for developers debugging AI tool functionalities, providing a comprehensive reference for understanding tool scope, execution logic, and provider connections to identify and resolve issues.