What is the primary benefit of using the manage-memories skill?

It allows Claude to maintain long-term context by saving session snapshots to disk, preventing the loss of information between different task executions or restarts.

Can I use this skill to store custom data types?

Yes, while it defaults to a 'context' category, the flexible JSON content structure allows you to store any session-relevant data that follows the metadata schema.

What format are the memory files stored in?

Memory files are stored as JSON with a metadata envelope containing the creation timestamp, category, and summary for easy indexing and validation.

How do I prevent memory files from cluttering my project?

The skill includes a 'cleanup' operation that allows you to automatically remove files older than a specified timeframe, such as 7 days.

Persistent Session Memory Manager

Name: Persistent Session Memory Manager
Author: cuioss

bycuioss

Productivity & Workflow

Manages persistent session storage and context snapshots to maintain continuity across AI coding sessions.

About

The manage-memories skill provides a structured memory layer for the Plan Marshall orchestration system, enabling Claude Code to save, load, and organize session-specific information. It features robust CRUD operations for memory files, category-based organization for snapshots, and automated maintenance tools such as age-based cleanup and JSON format validation. By providing a reliable mechanism for data persistence, this skill ensures that Claude maintains consistent context and behavior over extended development workflows.

Key Features

CRUD operations for structured session memory files
Timestamped file naming and metadata tracking
Category-based organization for efficient context retrieval
Built-in JSON validation for memory file integrity
0 GitHub stars
Automated age-based cleanup for workspace hygiene

Use Cases

Creating historical snapshots of feature development states
Persisting complex project context across multiple Claude Code sessions
Managing automated cleanup of temporary session metadata

About

Key Features

CRUD operations for structured session memory files
Timestamped file naming and metadata tracking
Category-based organization for efficient context retrieval
Built-in JSON validation for memory file integrity
0 GitHub stars
Automated age-based cleanup for workspace hygiene

Use Cases

Creating historical snapshots of feature development states
Persisting complex project context across multiple Claude Code sessions
Managing automated cleanup of temporary session metadata