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devflow:rag-memory:create-agent-preferences

Create an agent-preferences collection with a metadata schema and safety hook.

Updated Aug 27, 2026
Search Tags:#workflow#routing#personalization#learning#knowledge-management#rag-memory#agent-preferences
One-click install
npx skills add https://github.com/codingthefuturewithai/claude-code-primitives --skill devflow-rag-memory-create-agent-preferences
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: devflow:rag-memory:create-agent-preferences
Source: https://github.com/codingthefuturewithai/claude-code-primitives/tree/main/skills/rag-memory/create-agent-preferences
Command: npx skills add https://github.com/codingthefuturewithai/claude-code-primitives --skill devflow-rag-memory-create-agent-preferences

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables the AI to learn from user decisions by creating an agent-preferences collection that stores routing, topic extraction, and workflow preferences to personalize interactions and recommendations.

Core Features & Use Cases

  • Agent learning: Captures and persists user preferences to improve future guidance.
  • Personalized routing: Uses preferences to influence content routing and recommendations.
  • Governance & safety: Ensures user approval is required before saving preferences via a hook.

Quick Start

Create the agent-preferences collection and ensure the learning hook is active.

Frequently Asked Questions about devflow:rag-memory:create-agent-preferences

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

FAQPage Schema
How do I create agent preferences to personalize AI routing and knowledge management?▼

To create agent preferences, you set up a dedicated collection that stores routing, topic extraction, and workflow preferences. This enables the AI to learn from your decisions and improve personalized recommendations across knowledge management activities.

What are agent preferences used for in RAG memory workflows?▼

Agent preferences in RAG memory are used to capture and persist user decisions, allowing the system to personalize content routing, topic extraction, and workflow guidance based on past interactions.

Does creating an agent preferences collection require user approval before saving?▼

Yes, creating an agent preferences collection triggers a safety hook that enforces user approval before any preferences are saved, ensuring governance over the learning process.

How do I enforce a metadata schema when learning from user workflow decisions?▼

You enforce a metadata schema by creating an agent-preferences collection that standardizes how routing and topic extraction data is stored, ensuring consistent learning and personalized recommendations.

Can I use agent preferences to improve content routing across different knowledge management activities?▼

Yes, agent preferences apply across knowledge management activities, influencing content routing and personalized recommendations by learning from your workflow decisions and topic extraction patterns.

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