prompt-architect

Map user prompts to prompting frameworks and output structured improvement plans.

2|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/dot-prompt/dotprompt --skill prompt-architect-dot-prompt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-architect
Source: https://github.com/dot-prompt/dotprompt/tree/main/.agent/skills/prompt-architect
Command: npx skills add https://github.com/dot-prompt/dotprompt --skill prompt-architect-dot-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill analyzes user prompts and maps them to effective prompting frameworks, enabling precise, structured improvements and better outcomes.

Core Features & Use Cases

  • Framework recommendation: identify relevant prompting frameworks (CO-STAR, RISEN, RISE, RTF, TIDD-EC, Chain of Thought, Chain of Density) and explain why they fit the task.
  • Structured output: provide a mapped framework, an improved prompt, and a rationale, plus before/after comparisons.
  • Guidance & discovery: suggests clarifying questions and templates to apply the chosen framework(s) effectively.

Quick Start

Provide the original prompt and generate an improved version using the recommended frameworks.

Frequently Asked Questions about prompt-architect

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

FAQPage Schema
How do I improve a prompt using frameworks like CO-STAR or RISEN?

To improve a prompt using frameworks like CO-STAR or RISEN, you provide your original prompt and receive a structured improvement plan, a refined prompt, and a rationale for production-ready use.

What is the best way to analyze and structure a prompt for complex reasoning tasks?

The best way to analyze and structure a prompt for complex reasoning tasks is to map it to appropriate prompting frameworks, combining them if necessary to generate a structured improvement plan and a production-ready refined prompt.

Can I combine multiple prompting frameworks for content creation and data transformation?

Yes, you can combine multiple prompting frameworks for content creation and data transformation tasks to achieve precise, structured improvements and better outcomes for complex instructions.

Does this prompt analysis approach provide before and after comparisons?

Yes, this prompt analysis approach provides before and after comparisons alongside a mapped framework, an improved prompt, and a detailed rationale for production-ready use.

How do I know which prompting framework to choose for my task?

To know which prompting framework to choose, the skill identifies relevant frameworks like CO-STAR, RISEN, RTF, TIDD-EC, Chain of Thought, or Chain of Density and explains why they fit your specific task.