Can I run this on an existing project?

Yes, memory-init is designed to run on any project root. If memory files already exist, it will prompt you to review or reset them rather than overwriting blindly.

What files does memory-init create?

It creates a .claude/memory/ directory containing specialized markdown files including product-context.md, active-context.md, progress.md, patterns.md, and glossary.md.

How do token budget presets work?

Presets like Economy, Light, Standard, and Detailed allow you to control the amount of context loaded into the AI's prompt, helping you balance detail against cost and speed.

Where is the project memory stored?

The memory is stored locally within your project's root directory in a hidden folder, ensuring your project context remains private and portable.

Should I commit the memory files to Git?

The skill lets you choose: commit them to share context with your team (recommended for solo/small projects) or add them to .gitignore to keep your personal session history local.

Project Memory Initializer

Name: Project Memory Initializer
Author: swannysec

byswannysec

Productivity & Workflow

Initializes a structured, file-based memory system to maintain long-term project context and state for AI coding agents.

About

The memory-init skill automates the setup of a persistent project memory system using local Markdown files within your repository. By creating a standardized directory structure and essential context templates—including product goals, active focus, progress trackers, and architectural patterns—it ensures that Claude maintains continuity across multiple coding sessions. This tool is essential for developers looking to avoid context loss during complex refactors or project handoffs by providing a centralized, human-readable source of truth for the project's current state and technical decisions.

Key Features

Interactive project discovery to populate initial project metadata
0 GitHub stars
Standardized Markdown templates for context, progress, and architectural patterns
Integrated Git handling to manage memory persistence and repository visibility
Configurable token budget presets (Economy to Detailed) for context optimization
Automated creation of .claude/memory/ directory structure

Use Cases

Starting a new project with a structured log for long-term AI context
Organizing complex existing codebases to provide better guidance for AI agents
Managing task handoffs and session continuity in multi-day development cycles

About

Key Features

Interactive project discovery to populate initial project metadata
0 GitHub stars
Standardized Markdown templates for context, progress, and architectural patterns
Integrated Git handling to manage memory persistence and repository visibility
Configurable token budget presets (Economy to Detailed) for context optimization
Automated creation of .claude/memory/ directory structure

Use Cases

Starting a new project with a structured log for long-term AI context
Organizing complex existing codebases to provide better guidance for AI agents
Managing task handoffs and session continuity in multi-day development cycles