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amp-level-up

Analyze Amp interaction logs to recommend underutilized features and role-specific skills.

Updated Jun 4, 2026
Search Tags:#AI assistant#personalization#workflow optimization#feature discovery#system improvement#user adoption
One-click install
npx skills add https://github.com/hemory/amp --skill amp-level-up
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: amp-level-up
Source: https://github.com/hemory/amp/tree/main/.claude/skills/amp-level-up
Command: npx skills add https://github.com/hemory/amp --skill amp-level-up

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users discover and adopt underutilized features within the Amp system, ensuring they get the maximum value from their AI Chief of Staff.

Core Features & Use Cases

  • Usage Analysis: Analyzes user interaction logs to identify features that haven't been used.
  • Personalized Recommendations: Suggests relevant features based on usage patterns, role, and connected integrations.
  • Role-Specific Skill Discovery: Highlights role-specific skills that the user may not be aware of.
  • Integration Feature Surfacing: Points out underutilized features of already connected integrations.
  • Use Case: A user consistently uses daily planning but hasn't explored weekly or quarterly planning. This Skill will recommend those features, explaining their benefits and how to get started.

Quick Start

Run /amp-level-up to get personalized suggestions for improving your Amp system.

Frequently Asked Questions about amp-level-up

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

FAQPage Schema
How do I discover unused features in my AI assistant?▼

To discover unused features in your AI assistant, you can analyze user interaction logs and role profiles to identify underutilized capabilities and receive personalized recommendations for feature adoption.

Can I get personalized workflow optimization suggestions based on my role?▼

Yes, personalized workflow optimization suggestions are generated by analyzing your specific usage patterns, role profile, and connected integrations to recommend relevant features and role-specific skills.

How does feature discovery work for connected integrations?▼

Feature discovery for connected integrations works by analyzing your existing usage patterns to surface and point out underutilized capabilities within the tools you have already connected to the system.

What is the best way to reduce feature blindness and improve system adoption?▼

The best way to reduce feature blindness and improve system adoption is to analyze interaction logs to identify unused features and suggest natural progressions in feature adoption tailored to the user.

Does this feature recommendation tool require specific usage logs to function?▼

Yes, this feature recommendation tool requires user interaction logs and role profiles as input to accurately analyze usage patterns and identify which system features remain underutilized.

amp-level-up: how do I find underutilized features in the Amp system?▼

You can find underutilized features in the Amp system by running the amp-level-up command, which analyzes your interaction logs to surface role-specific skills and recommend natural progressions in feature adoption.

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