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user-confirm-skill

Format AI-generated content for user confirmation and extract feedback.

Updated Jan 20, 2026
Search Tags:#decision making#prompt engineering#validation#user feedback#confirmation#interactive ai
One-click install
npx skills add https://github.com/maxoreric/sop-engine --skill user-confirm-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: user-confirm-skill
Source: https://github.com/maxoreric/sop-engine/tree/main/%24workflow.input.user_intent/skills/user-confirm-skill
Command: npx skills add https://github.com/maxoreric/sop-engine --skill user-confirm-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines decision-making by presenting clear options and gathering precise user feedback, avoiding ambiguity and saving time.

Core Features & Use Cases

  • Decision Facilitation: Presents information in user-friendly formats (visual summaries, file lists, comparisons) to enable quick choices.
  • Feedback Extraction: Accurately captures user approval, satisfaction levels, specific issues, and suggestions.
  • Use Case: After an AI designs a software system, this Skill presents the design to the user, asking for approval with clear options like "✅ Approve" or "❌ Needs Adjustment," and then captures detailed feedback if adjustments are needed.

Quick Start

Use the user-confirm-skill to confirm the proposed system design with a visual summary and ask for user approval.

Frequently Asked Questions about user-confirm-skill

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

FAQPage Schema
How do I get clear user confirmation for AI-generated content?▼

To get clear user confirmation for AI-generated content, present information in user-friendly formats like visual summaries and comparison tables. This mechanism elicits binary or nuanced decisions, ensuring user intent is precisely captured without ambiguity.

What is the best way to capture user feedback for iterative improvement?▼

The best way to capture user feedback for iterative improvement is by using a discriminative confirmation mechanism. It accurately extracts specific issues, suggestions, and satisfaction levels directly from user decisions on formatted content.

How do I format AI execution results for quick user decisions?▼

Format AI execution results for quick user decisions by structuring them into visual summaries, file lists, or comparison tables. This presentation enables users to rapidly review outputs and select clear options like approve or needs adjustment.

Can I use interactive AI to present a software system design for approval?▼

Yes, you can use interactive AI to present a software system design for approval. The system formats the proposed design into a clear visual summary, asks for user approval, and captures detailed feedback if adjustments are needed.

Does binary decision making work for complex user feedback extraction?▼

Binary decision making alone is insufficient for complex user feedback extraction, but this mechanism supports both binary approvals and nuanced decisions. It captures detailed feedback points for iterative improvement beyond simple yes or no choices.

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