user_evaluate

Evaluate content relevance using four lenses and user memory context.

90|16|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/WingedGuardian/GENesis-AGI --skill user-evaluate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: user_evaluate
Source: https://github.com/WingedGuardian/GENesis-AGI/tree/main/src/genesis/skills/user_evaluate
Command: npx skills add https://github.com/WingedGuardian/GENesis-AGI --skill user-evaluate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evaluates content to determine its personal relevance to the user by leveraging Genesis's user model and memory context, enabling targeted prioritization and interpretation.

Core Features & Use Cases

  • Reads user context and related memory signals to assess relevance.
  • Applies a four-lens evaluation to inbox content and ideas to surface what truly matters.
  • Outputs a structured evaluation that guides future actions and prioritization.

Quick Start

Invoke /user-evaluate on an inbox item to generate a personal-relevance assessment.

Frequently Asked Questions about user_evaluate

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

FAQPage Schema
How do I evaluate inbox content for personal relevance using my user model?

To evaluate inbox content for personal relevance, you can invoke a command on the item to trigger an assessment. The evaluation uses your user model and memory context to generate a structured output with relevance tags and an action timeline.

What is the four-lens evaluation for personalizing content?

The four-lens evaluation is a mechanism that assesses personal relevance by applying four distinct perspectives to content. It surfaces what truly matters to you by reading user context and related memory signals to guide future actions and prioritization.

Do I need memory caches to assess personal relevance of user-submitted content?

Yes, memory caches are required to assess personal relevance accurately. The evaluation relies on memory_recall MCP, memory caches, and your user model to infer personal relevance from past observations and stored context.

Can I use this approach to prioritize ideas based on memory and observations?

Yes, you can prioritize ideas based on memory and observations by running them through the evaluation. It applies the four-lens evaluation to ideas where personal relevance must be inferred, producing a structured evaluation that guides prioritization.

What is the best way to tailor content interpretation to my personal context?

The best way to tailor content interpretation is to evaluate items using your user model and memory context. This enables targeted prioritization and interpretation by applying a four-lens evaluation to surface personally relevant information.