boost-prompt

Guides users through interactive Q&A to create comprehensive markdown prompts.

Updated Nov 21, 2025
One-click install
npx skills add https://github.com/lluppesms/dadabase.demo --skill boost-prompt-lluppesms
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: boost-prompt
Source: https://github.com/lluppesms/dadabase.demo/tree/main/.github/skills/boost-prompt
Command: npx skills add https://github.com/lluppesms/dadabase.demo --skill boost-prompt-lluppesms

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the process of creating detailed and effective prompts for AI assistants, ensuring clarity and completeness before execution.

Core Features & Use Cases

  • Iterative Refinement: Engages in a question-and-answer dialogue to flesh out prompt details.
  • Scope and Deliverable Definition: Helps users clearly define the task's boundaries and expected outcomes.
  • Constraint Clarification: Uncovers and documents technical and procedural requirements.
  • Use Case: You have a general idea for an AI task but need to ensure the AI understands all nuances. This Skill will ask you targeted questions to build a robust prompt.

Quick Start

Use the boost-prompt skill to help me create a detailed prompt for generating a marketing email.

Frequently Asked Questions about boost-prompt

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

FAQPage Schema
How do I refine an AI prompt interactively to improve task clarity?

Iterative prompt refinement engages users in a question-and-answer dialogue to flesh out task details, defining boundaries and expected outcomes to ensure the AI understands all project nuances.

What is the best way to define scope and deliverables for an AI assistant task?

Defining scope and deliverables for an AI assistant task involves uncovering and documenting technical and procedural requirements through targeted questions, which builds a robust and comprehensive markdown prompt.

How do I create comprehensive markdown prompts for complex AI tasks?

You create comprehensive markdown prompts for AI tasks by iteratively interrogating task constraints and deliverables, leveraging the Joyride extension for clipboard operations to finalize the structured output.

Does the interactive prompt engineering workflow require manual user input?

Yes, the interactive prompt engineering workflow requires human input for clarification and project exploration, using targeted questions to extract necessary details rather than generating prompts autonomously.

When do I need an interactive workflow to clarify prompt constraints?

You need an interactive workflow to clarify prompt constraints when you have a general idea for an AI task but must ensure the AI understands technical and procedural boundaries before generating the final output.