vibememo-eval

Capture project decisions and evaluate documentation quality across 9 dimensions.

1|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/ojiudezue/universal-room-automation --skill vibememo-eval
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vibememo-eval
Source: https://github.com/ojiudezue/universal-room-automation/tree/main/.claude/skills/vibememo-eval
Command: npx skills add https://github.com/ojiudezue/universal-room-automation --skill vibememo-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps track significant decisions and ensure quality project memory across all team members, fostering better communication and knowledge retention.

Core Features & Use Cases

  • Decision Capture: Automatically capture decisions made in conversations and document them with timestamps.
  • Quality Evaluation: Periodically assess the quality of decision documentation across 9 dimensions.
  • Use Case: For a project management team, the Skill can help document key decisions, maintain project narrative consistency, and ensure that the decision-making process is effectively captured and shared.

Quick Start

Use the /vibememo-eval command to evaluate decisions made in the past period or manually evaluate at the scheduled intervals.

Frequently Asked Questions about vibememo-eval

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

FAQPage Schema
How do I track project decisions and maintain narrative consistency across a team?

Track project decisions by capturing them in structured JSON data with timestamps, then periodically evaluate decision quality across 9 dimensions to maintain narrative consistency and knowledge retention. This ensures all team members share a coherent project history.

What is the best way to evaluate decision documentation quality over time?

Evaluate decision documentation quality by assessing captured records against 9 specific quality dimensions at scheduled intervals. Run the evaluation command periodically to review narrative consistency and ensure the project memory remains coherent and effectively shared.

Can I automatically capture project decisions made in conversations?

Yes, you can automatically capture decisions made in conversations and document them with timestamps. The Skill requires structured JSON data capture to record these decisions, ensuring they are preserved for quality assessment and team knowledge retention.

Do I need structured JSON data to retain project knowledge for my team?

Yes, structured JSON data capture is required to retain project knowledge effectively. This format enables periodic quality assessment metrics and narrative consistency reviews, ensuring significant decisions are documented and shared coherently across all team members.

What are the limitations of using periodic reviews for decision tracking?

Periodic reviews for decision tracking rely on scheduled intervals rather than real-time evaluation, meaning narrative consistency issues may go unnoticed between assessments. The process requires structured JSON data and manual evaluation at scheduled intervals to maintain quality.