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system-prompt

Modify and enhance DBX Studio AI system prompts for behavior and tool usage.

82|10|Updated Jan 15, 2026
Search Tags:#prompt engineering#ai#llm#system prompt#configuration#dbx studio
One-click install
npx skills add https://github.com/Dbxstudio/dbx-studio --skill system-prompt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: system-prompt
Source: https://github.com/Dbxstudio/dbx-studio/tree/main/.claude/skills/system-prompt
Command: npx skills add https://github.com/Dbxstudio/dbx-studio --skill system-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows for the modification and improvement of the AI system prompt, which dictates the AI's behavior, tone, tool usage, and response format within DBX Studio.

Core Features & Use Cases

  • System Prompt Editing: Directly edit the core instructions that guide the AI's responses.
  • Behavior Tuning: Adjust the AI's tone, conciseness, and adherence to specific rules.
  • Tool Usage Optimization: Modify the order and logic of tool invocation for better efficiency.
  • Use Case: If the AI is not prioritizing schema reading before executing queries, you can adjust the "Tools Available" section and their order in the prompt to enforce the correct workflow.

Quick Start

Edit the system prompt to ensure the AI always prioritizes reading the schema first.

Frequently Asked Questions about system-prompt

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

FAQPage Schema
Do I need prompt engineering knowledge to configure AI chat behavior?▼

The best way to enforce tool invocation order is to modify the 'Tools Available' section and their sequence in the system prompt, ensuring the LLM prioritizes actions like reading schemas before executing queries.

Can I optimize LLM output format by editing the system configuration?▼

Yes, adjusting the AI system prompt requires an understanding of prompt engineering principles and the specific structure of existing system prompts to effectively tune behavior and output formats.

Why does the AI execute queries before reading the database schema?▼

Yes, you can optimize the LLM output format by directly editing the system configuration, which dictates the AI's response structure, tool usage logic, and overall formatting rules.

What are the limitations of modifying system prompts for behavior tuning?▼

The AI may execute queries prematurely if the system prompt lacks clear tool usage sequencing. Adjusting the prompt instructions enforces the correct workflow, prioritizing schema reading first.

What are the limitations of modifying system prompts for behavior tuning?▼

Limitations include needing precise prompt engineering to avoid conflicting instructions and requiring a deep understanding of the existing system prompt structure to maintain functional tool invocation logic.

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