get-user-profile

Summarize current user profile data for personalized responses.

9|2|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/AllBeingsFuture/AllBeingsFuture --skill get-user-profile-allbeingsfuture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: get-user-profile
Source: https://github.com/AllBeingsFuture/AllBeingsFuture/tree/main/electron/embedded-assets/skills/system/get-user-profile
Command: npx skills add https://github.com/AllBeingsFuture/AllBeingsFuture --skill get-user-profile-allbeingsfuture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This capability helps AI agents quickly access and summarize a user's stored profile to tailor responses without lengthy prompting or manual lookups.

Core Features & Use Cases

  • Profile data summarization to enable faster, context-aware replies.
  • Context-aware recommendations based on user preferences.
  • Privacy-conscious handling with safe defaults when data is missing.

Quick Start

Summarize the current user profile to personalize the next response.

Frequently Asked Questions about get-user-profile

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

FAQPage Schema
How do I personalize AI responses using user profile data?

To personalize AI responses, this Skill identifies and summarizes available user profile data to tailor context-aware advice and suggestions without requiring lengthy manual prompting. It applies profile preferences across interactions to generate replies matched to user context.

What happens when user profile fields are missing during personalization?

When user profile fields are missing during personalization, the Skill automatically handles the gaps with safe defaults. This privacy-conscious approach ensures the agent can still summarize available context and deliver tailored responses without failing or exposing absent data.

How does profile summarization work for context-aware recommendations?

Profile summarization works by extracting exposed profile fields through the get_user_profile tool, condensing them into a manageable context, and applying that summary to shape recommendations. This enables faster, context-aware replies tailored to defined user preferences.

Can I tailor AI advice within specific privacy boundaries using user preferences?

Yes, you can tailor AI advice within specific privacy boundaries because the Skill processes user profile data while respecting defined privacy limits. It summarizes profile fields to personalize suggestions safely, ensuring responses stay within the configured constraints of exposed data.

Do I need profile fields exposed by the get_user_profile tool to enable personalization?

You need profile fields exposed by the get_user_profile tool to enable full personalization, as the Skill relies on this access to summarize current user data. If fields are unavailable, it safely defaults to standard behavior without manual lookups.

Why summarize user profile data instead of passing the full profile to the AI agent?

Summarizing user profile data instead of passing the full profile helps the AI agent quickly access relevant context to tailor responses. This approach avoids lengthy prompting, reduces manual lookups, and enables faster context-aware replies within privacy boundaries.