room-proactive

Detect gaps, contradictions, and convergence in structured data room entries.

2|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/jsagir/mindrian-os-plugin --skill room-proactive
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: room-proactive
Source: https://github.com/jsagir/mindrian-os-plugin/tree/main/skills/room-proactive
Command: npx skills add https://github.com/jsagir/mindrian-os-plugin --skill room-proactive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill identifies missing, conflicting, and reinforcing signals within your data room, ensuring that your decision-making process is based on a comprehensive understanding of the available information.

Core Features & Use Cases

  • Gap Detection: Identifies missing or unvalidated data points, suggesting complementary methodologies.
  • Contradiction Detection: Scans for incompatible claims across various sections, aiding in conflict resolution.
  • Convergence Detection: Highlights when multiple artifacts converge on the same domain or theme, indicating strong signals.
  • Mid-Session Intelligence: Offers to file actionable insights from your work, capturing valuable information for future reference.
  • Proactive Filing Offer: Provides the option to file conversation artifacts, turning good thinking into a documented record.
  • Decision Capture: Allows you to approve, reject, or defer findings, ensuring that all insights are reviewed and considered.
  • Dashboard Export Integrity: Ensures the integrity of exported dashboards for analysis and reporting.

Quick Start

To start the proactive analysis, run the 'room-proactive' command in your data room directory.

Frequently Asked Questions about room-proactive

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

FAQPage Schema
How do I detect contradictions and gaps in a structured data room?

To detect contradictions and gaps in a data room, you can run an automated analysis script that scans entries for incompatible claims, identifies missing data points, and highlights reinforcing signals to ensure comprehensive decision-making.

What is convergence detection and how does it work with data room artifacts?

Convergence detection identifies when multiple artifacts within a data room converge on the same domain or theme, indicating strong reinforcing signals that validate your decision-making process.

How do I capture and file actionable insights during a data room analysis session?

You can capture actionable insights during a data room analysis by using mid-session intelligence features that offer to file conversation artifacts, turning your real-time thinking into a documented record for future reference.

Can I review and approve detected data room findings before they are finalized?

Yes, you can review detected findings through a decision capture process that allows you to explicitly approve, reject, or defer gaps and contradictions, ensuring all insights are considered before finalizing.

How do I maintain dashboard export integrity when reporting data room analysis?

Maintaining dashboard export integrity requires using automated scripts that ensure the exported dashboards accurately reflect the analyzed data room entries without misaligning the reported gaps or contradictions.