promptify

Optimize prompts with a Role, Task, Constraints, and Output contract.

1|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/marcoamu/openclaw-workspace --skill promptify-marcoamu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: promptify
Source: https://github.com/marcoamu/openclaw-workspace/tree/main/skills/promptify
Command: npx skills add https://github.com/marcoamu/openclaw-workspace --skill promptify-marcoamu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform ambiguous user prompts into clear, actionable instructions that guide AI agents to produce precise results.

Core Features & Use Cases

  • Modifier-based optimization with +ask, +deep, and +web to tailor prompting workflows.
  • Automatic prompt classification and routing to sub-agents (codebase research, clarifier, or web research) as needed.
  • Enforces a Core Contract (Role, Task, Constraints, Output) and outputs a structured prompt ready for execution.

Quick Start

Provide a prompt and I will return an optimized, structured prompt ready for deployment.

Frequently Asked Questions about promptify

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

FAQPage Schema
How do I optimize AI prompts for clarity and actionable instructions?

To optimize AI prompts, this Skill transforms vague inputs into a structured core contract defining Role, Task, Constraints, and Output. It automatically routes your prompt to sub-agents for codebase research, clarifying questions, or web research to ensure precise results.

What is prompt routing and how does it improve AI agent responses?

Prompt routing automatically classifies your prompt and directs it to specialized sub-agents for codebase research, clarifying questions, or web research. This mechanism ensures AI agents receive tailored context, improving the accuracy and relevance of the final output.

Can I tailor prompt optimization workflows for specific tasks like coding or design?

Yes, you can tailor prompt optimization workflows using modifiers like +ask, +deep, and +web. These modifiers adjust the prompting process to handle specific contexts across coding, writing, analysis, and design prompts effectively.

How do I structure a vague prompt into a standardized format for AI execution?

You structure a vague prompt by enforcing a Core Contract that defines the Role, Task, Constraints, and Output. This Skill automatically formats your input into this structured prompt, ready for immediate deployment and execution by AI agents.

When should I use prompt modifiers like +ask or +web during optimization?

Use prompt modifiers like +ask to trigger clarifying questions or +web for web research when your initial prompt lacks necessary context. These modifiers route the prompt to sub-agents, ensuring the optimized prompt contains accurate, researched information.