prompt-generator

Converts task descriptions or existing prompts into structured system prompts for LLMs.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/dragonkid/dotfiles --skill prompt-generator-dragonkid
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-generator
Source: https://github.com/dragonkid/dotfiles/tree/main/claude/skills/prompt-generator
Command: npx skills add https://github.com/dragonkid/dotfiles --skill prompt-generator-dragonkid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill converts user task descriptions or existing prompts into clear, high-quality system prompts for LLMs, reducing ambiguity and improving performance.

Core Features & Use Cases

  • Analyze user requests to extract core task, audience, and constraints.
  • Generate a structured system prompt with explicit roles, objectives, context, and evaluation cues.
  • Improve or adapt existing prompts for consistency across projects and teams.

Quick Start

Provide a user task description or an existing prompt, and I will generate a precise system prompt optimized for LLM performance.

Frequently Asked Questions about prompt-generator

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

FAQPage Schema
How do I generate a structured system prompt for LLMs from a basic task description?

To generate a system prompt for LLMs, provide a task description or existing prompt. The system prompt generator analyzes the request to extract core tasks, audience, and constraints, producing a structured prompt with defined roles and evaluation cues.

What is the best way to improve existing model prompting instructions for consistency?

Improving model prompting instructions involves refining existing prompts to reduce ambiguity. This skill adapts your prompts by adding explicit objectives, context, and restrictions, ensuring consistent performance across projects and teams.

Can I use this prompt generation tool for specific domains like coding and data analysis?

Yes, you can use this prompt generation tool for coding, content creation, and data analysis. It applies to prompt generation and refinement across these domains, outputting a structured system prompt ready for immediate integration.

How does prompt generation handle role definition and restrictions for high-performance LLMs?

Prompt generation handles role definition by analyzing your task description and constructing a structured system prompt. It explicitly defines the model's role, context, restrictions, and evaluation cues to optimize instruction-following for high-performance LLMs.

Do I need any specific dependencies or components to create system prompts?

No dependencies or components are required to create system prompts. You simply provide a user task description or an existing prompt, and the tool outputs a precise, repeatable system prompt optimized for LLM performance.