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sigridjineth
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memory_playbook

Persist user preferences and past interactions across AI sessions with structured memory.

5|Updated Dec 14, 2025
Search Tags:#state management#memory#persistence#user preferences#cross-session#AI relationships#long-term context
One-click install
npx skills add https://github.com/sigridjineth/interview-copilot-with-skills --skill memory-playbook
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory_playbook
Source: https://github.com/sigridjineth/interview-copilot-with-skills/tree/main/skills/cdp_memory
Command: npx skills add https://github.com/sigridjineth/interview-copilot-with-skills --skill memory-playbook

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solves?

AI agents often "forget" previous interactions when a user returns, leading to frustrating, repetitive conversations and a lack of personalized experience. This Skill enables Claude to remember information across separate conversations, fostering long-term relationships and seamless user journeys.

Core Features & Use Cases

  • Cross-Session Persistence: Ensure Claude remembers user context, preferences, and past interactions even if they return days or weeks later.
  • Structured Storage: Organize memories by category (e.g., user preferences, interaction history, relationship context) for efficient retrieval.
  • Selective Recall: Retrieve only the most relevant memories for the current conversation, keeping context focused and token costs low.
  • Privacy Controls: Empower users with the ability to view and manage their stored memories, ensuring data privacy and compliance.
  • Use Case: For a financial advisor chatbot, ensure that a user's investment goals and risk profile are remembered across multiple sessions, so they don't have to re-explain their preferences every time they interact with Claude.

Quick Start

Use the memory_playbook skill to explain how Claude can remember user preferences and past interactions across multiple days.

Frequently Asked Questions about memory_playbook

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

FAQPage Schema
How do I persist user preferences and past interactions across separate conversations?▼

Cross-session memory persistence stores user preferences, constraints, and interaction history in structured categories, enabling Claude to recall this context when users return days or weeks later without requiring them to re-explain their needs or preferences.

What's the best way to organize and retrieve relevant memories without inflating token costs?▼

Structured storage organizes memories by category for efficient indexing, and selective recall retrieves only the most contextually relevant memories for the current conversation, keeping token usage low while maintaining personalized context.

Can users control and delete their stored memories for privacy compliance?▼

Privacy controls empower users to view, manage, and delete their stored memories, ensuring data transparency and compliance with privacy requirements while maintaining relationship continuity across sessions.

How do I implement state management for AI relationships that span multiple sessions?▼

The memory playbook implements a memory API for retrieval and persistence that maintains relationship context, user choices, and interaction history across sessions, enabling long-term AI relationships without context loss.

When should I use structured memory storage instead of in-session context?▼

Structured cross-session memory is essential when users return after days or weeks, require onboarding flows, need consistent preferences applied across multiple interactions, or where relationship continuity and personalization depend on retaining historical context.

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