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shalevamin
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remember

Save and retrieve persistent user memory in USER_PROFILE.md.

Updated Mar 7, 2026
Search Tags:#context#memory#persistence#save#preferences#user profile
One-click install
npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill remember-shalevamin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: remember
Source: https://github.com/shalevamin/The-_Ultimate_agents/tree/main/.claude/skills/remember
Command: npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill remember-shalevamin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures that important information about the user, their preferences, projects, and context is saved and readily available across all sessions, preventing repetitive information gathering and maintaining continuity.

Core Features & Use Cases

  • Persistent Memory: Stores user details, project information, app preferences, and past decisions.
  • Proactive Learning: Automatically saves new information learned about the user or their environment.
  • Explicit Reminders: Handles direct commands like "remember this" or "save this".
  • Use Case: After a user specifies their preferred code editor as VS Code and mentions they are working on a new project called "Project Phoenix" using React, this skill will save this information so the agent can recall it in future interactions.

Quick Start

Use the remember skill to save the user's name as Jane Doe.

Frequently Asked Questions about remember

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

FAQPage Schema
How do I save user context and preferences across AI sessions?▼

To save user context and preferences across AI sessions, the system writes details like project states and app preferences to a designated file. This ensures session continuity and prevents repetitive information gathering in future interactions.

How does persistent memory work for maintaining a user profile?▼

Persistent memory for a user profile works by reading and writing contextual information, such as preferred code editors and project names, to a markdown file. This allows the agent to automatically recall learned details in subsequent interactions.

Can I use explicit commands to save contextual information during a session?▼

Yes, you can use explicit commands to save contextual information during a session. Direct phrases like "remember this" or "save this" trigger the system to proactively store the specified details into the persistent user profile.

Do I need file system access to store project details and session continuity states?▼

Yes, you need file system access to store project details and session continuity states. The mechanism requires read and write permissions to interact with a designated memory file for maintaining the user profile.

What is the best way to maintain project states across multiple AI interactions?▼

The best way to maintain project states across multiple AI interactions is using a persistent memory approach that automatically saves learned environmental details. This proactively updates a designated file to ensure continuity.

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