update-user-profile

Update user profile entries with key-value pairs for persistent preferences.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Persisting fragmented user preferences, habits, and work details across agent sessions is error-prone and prevents personalized assistance; this Skill centralizes and standardizes profile updates so agents can remember user-specific settings.

Core Features & Use Cases

  • Key/value profile updates: Accept a profile key and value to store user information such as preferred_language, ide, work_field, and timezone.
  • Predefined supported keys: Enforces a known set of profile fields (name, agent_role, work_field, preferred_language, os, ide, detail_level, code_comment_lang, work_hours, timezone, confirm_preference) to improve consistency.
  • Use Case: When a user states their preferred programming language and IDE, update the profile so future code suggestions and formatting match their environment.

Quick Start

Ask the assistant to update the user's profile by providing the profile key and its value, for example: update_user_profile key=name value="Alex".

Frequently Asked Questions about update-user-profile

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

FAQPage Schema
How do I persist user preferences across agent sessions for personalized responses?

To persist user preferences across agent sessions, you can use a profile update mechanism that accepts a simple key and value pair to store details like preferred_language, ide, work_field, and timezone for personalized assistance.

What user profile fields can I save to personalize my desktop agent workflows?

You can save predefined user profile fields including name, agent_role, work_field, preferred_language, os, ide, detail_level, code_comment_lang, work_hours, timezone, and confirm_preference to standardize profile updates and improve consistency.

How do I update my preferred programming language and IDE settings in an agent profile?

You can update your preferred programming language and IDE settings by providing a profile key and value pair, such as updating preferred_language and ide, so future code suggestions match your environment.

Can I store work habits and timezone details for use in conversational agent sessions?

Yes, you can store work habits and timezone details in conversational agent sessions by applying key-value pairs to structured storage, enabling the agent to remember your work_hours and timezone for personalized responses.

Does this user profile update approach support structured storage and retrieval for persistent profile services?

Yes, this user profile update approach satisfies requirements for structured storage, retrieval, and integration with session or persistent profile services by accepting simple key and value pairs for profile entries.

What are the limitations of using predefined keys for user profile updates?

The limitation of using predefined keys for user profile updates is that you are restricted to a known set of profile fields like name, os, ide, work_hours, and timezone, preventing the storage of arbitrary or unsupported custom fields.