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add-realm-detection

Detect user stages within the Assess-Decide-Do cognitive framework.

5|Updated Feb 1, 2026
Search Tags:#workflow analysis#decision support#user intent#add framework#cognitive states#realm detection
One-click install
npx skills add https://github.com/dragosroua/add-framework-skills --skill add-realm-detection
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: add-realm-detection
Source: https://github.com/dragosroua/add-framework-skills/tree/main/skills/add-realm-detection
Command: npx skills add https://github.com/dragosroua/add-framework-skills --skill add-realm-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps an AI understand which stage of the Assess-Decide-Do (ADD) framework a user is currently operating in, enabling more contextually relevant and supportive interactions.

Core Features & Use Cases

  • Realm Identification: Detects whether a user is in the Assess, Decide, or Do phase based on language, behavior, and context.
  • Transition Support: Identifies signals indicating a user is ready to move between ADD phases.
  • Confusion Detection: Recognizes and helps address situations where a user might be stuck or mixing ADD phases.
  • Use Case: If a user is asking many "what if" questions and exploring options, the AI can recognize they are in the 'Assess' phase and provide relevant information or brainstorming support, rather than trying to push them towards a decision or action.

Quick Start

Use the add-realm-detection skill to analyze the user's last message and determine their current ADD realm.

Frequently Asked Questions about add-realm-detection

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

FAQPage Schema
What is ADD framework realm detection in conversational AI?▼

The ADD framework realm detection mechanism analyzes user language and conversational context to identify the current Assess, Decide, or Do cognitive state, allowing AI to provide phase-appropriate support.

How do I detect cognitive state transitions during a user conversation?▼

You can detect cognitive state transitions by analyzing conversational context and behavioral patterns to identify signals indicating a user is ready to move between Assess, Decide, and Do phases.

Can AI identify when a user is mixing decision and action phases?▼

Yes, AI can identify realm confusion by recognizing situations where a user is stuck or mixing Assess-Decide-Do phases, allowing the system to help address and untangle the cognitive overlap.

How do I analyze user intent for the Assess phase of a workflow?▼

Analyze user intent for the Assess phase by detecting pattern-based cues like exploring options, which triggers the AI to provide relevant information and brainstorming support rather than pushing for a decision.

Does realm detection require explicit user commands to identify workflow stages?▼

No, realm detection utilizes context-aware implicit detection methods based on natural language and behavior, meaning it does not require explicit user commands to identify workflow stages.

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