response-format

Standardize AI completion reports into three sections: What I Did, What You Get, What You Need To Do.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/nopkhun/KO-STOCK-SYSTEM --skill response-format-nopkhun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: response-format
Source: https://github.com/nopkhun/KO-STOCK-SYSTEM/tree/main/.gemini/skills/response-format
Command: npx skills add https://github.com/nopkhun/KO-STOCK-SYSTEM --skill response-format-nopkhun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ensures AI responses are clear, actionable, and complete, preventing user confusion and reducing follow-up questions.

Core Features & Use Cases

  • Structured Responses: Enforces a three-section format: What I Did, What You Get, What You Need To Do.
  • User-Centric Language: Promotes benefits over technical details.
  • Actionable Guidance: Provides clear next steps for the user.
  • Use Case: After an AI modifies code, it uses this format to clearly list the files changed, explain the new features to the user, and provide precise instructions on how to test or proceed.

Quick Start

Use the response-format skill to ensure all agent responses follow the standard three-section structure.

Frequently Asked Questions about response-format

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

FAQPage Schema
How do I standardize AI agent responses for better user clarity?

Standardize AI agent responses by enforcing a mandatory three-section structure: What I Did, What You Get, and What You Need To Do. This format ensures clarity, communicates outcomes, and provides actionable next steps to minimize user confusion.

Why do AI completion reports confuse users and require actionable steps?

AI completion reports confuse users when they lack structured guidance. Requiring a three-section format with actionable steps ensures users understand the actions taken, the resulting benefits, and the precise instructions needed to proceed.

What is the best way to format AI communication to reduce follow-up questions?

The best way to format AI communication is using a standardized three-section structure. Separating actions taken, user benefits, and required next steps reduces ambiguity and eliminates the need for users to ask follow-up questions.

Can I use a structured response format for any AI agent task?

Yes, you can apply this structured response format across all AI agents. It standardizes completion reports for any task, such as code modifications, by clearly listing changes, explaining new features, and providing testing instructions.

Does this response format work without external dependencies?

Yes, this response format works without external dependencies. It functions as a basic guideline layer to standardize AI communication, requiring no specific modules or environment setups to enforce its three-section completion structure.

When should I not use a three-section AI response structure?

You should not use a three-section AI response structure for brief, conversational interactions that require immediate, inline replies rather than formal completion reports. It is designed for task summaries requiring actionable guidance.