personalization-engine

Memorize user preferences across sessions in a local JSON store.

Updated Dec 4, 2025
One-click install
npx skills add https://github.com/christianearle01/claude-config-template --skill personalization-engine
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: personalization-engine
Source: https://github.com/christianearle01/claude-config-template/tree/main/.claude/skills/personalization-engine
Command: npx skills add https://github.com/christianearle01/claude-config-template --skill personalization-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Memorize user preferences across sessions to reduce repetitive prompts and tailor responses to the user’s style and goals.

Core Features & Use Cases

  • Learn from user feedback to adjust suggestions and thresholds autonomously.
  • Persist decisions in a local store and apply context-aware personalization across sessions.
  • Use cases: when users want to skip repeated prompts, set confidence thresholds, or review what the system learned about them.

Quick Start

Try: "Tell me what you've learned about me" to view personalization insights, or "set my proactivity to low" to adjust behavior.

Frequently Asked Questions about personalization-engine

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

FAQPage Schema
How do I memorize user preferences to maintain session continuity in Claude Code?▼

To memorize user preferences and maintain session continuity, this capability stores choices locally in ~/.claude/user-preferences.json and applies context-aware personalization across future interactions.

How does feedback learning work to adjust context-awareness thresholds?▼

Feedback learning works by autonomously adjusting suggestions and thresholds based on user input, allowing the system to dynamically refine context-awareness and proactively tailor responses to user goals.

Do I need any external dependencies to persist user preferences across sessions?▼

No external dependencies are needed to persist user preferences. The system operates independently by storing data locally at ~/.claude/user-preferences.json using a YAML frontmatter structure in SKILL.md.

What is the best way to review what the system has memorized about my user preferences?▼

The best way to review memorized user preferences is to prompt the system directly with a query like "Tell me what you've learned about me" to retrieve current personalization insights and stored choices.

Can I manually set proactivity levels for personalization adjustments?▼

Yes, you can manually set proactivity levels for personalization adjustments by issuing a direct command like "set my proactivity to low" to immediately override and update the system's autonomous behavior.

When should I not use local storage for context-aware personalization?▼

You should not use local storage for context-aware personalization if your workflow requires synchronized preferences across multiple machines, as the data is persisted locally rather than hosted on a remote server.