prompt

Merge a base command template with user-provided task details into a standalone prompt.

3|1|Updated Apr 18, 2021

Search Tags:#automation #prompt engineering #ai #llm #synthesis

Ready to run

npx skills add https://github.com/nashgao/mqtt-client --skill prompt-nashgao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prompt
Source: https://github.com/nashgao/mqtt-client/tree/main/.claude/skills/prompt
Command: npx skills add https://github.com/nashgao/mqtt-client --skill prompt-nashgao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines prompt engineering by automatically combining a base command template with specific user task details, ensuring complete and contextually relevant prompts.

Core Features & Use Cases

Prompt Synthesis: Merges a next.md template with user-provided arguments.
Contextual Integration: Adapts the prompt based on task specifics like technologies or complexity.
Use Case: When you need to generate a detailed prompt for an AI to write a Python script for a web scraper, this Skill will take your request and the next.md template to produce a ready-to-use, comprehensive prompt.

Quick Start

Use the prompt skill to synthesize a prompt for creating a Go API with JWT authentication.

Frequently Asked Questions about prompt

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

FAQPage Schema

How do I synthesize a complete AI prompt from a base template?▼

To synthesize an AI prompt, this tool merges a base command template with your specific task details. It ensures structural preservation and natural integration of arguments to produce a standalone, copy-pasteable output format.

What is the best way to generate context-aware prompts for LLM automation?▼

Generating context-aware prompts for LLM automation involves adapting the prompt based on task specifics like technologies or complexity. This approach ensures complete and contextually relevant prompts by merging user-provided arguments with a template.

Can I use a markdown template to create a ready-to-use AI prompt?▼

Yes, you can use a markdown template like next.md to create a ready-to-use AI prompt. The synthesis process combines this base command template with your provided arguments to output a comprehensive, standalone prompt.

How do I generate a detailed prompt for an AI to write a Python script?▼

To generate a detailed prompt for an AI to write a Python script, provide your specific task details to the synthesis tool. It will merge your request with a base template to produce a ready-to-use, comprehensive prompt.

Does prompt engineering automation work with specific technologies like Go APIs?▼

Prompt engineering automation works with specific technologies like Go APIs by adapting the prompt based on task specifics. It takes your request and the base template to produce a ready-to-use, comprehensive prompt for your target technology.

What are the limitations of synthesizing prompts using a base template approach?▼

A limitation of synthesizing prompts with a base template is the dependency on structural preservation of the original template. While it ensures natural integration of arguments, the output quality relies heavily on the base template's initial design.