When is the best time to invoke this skill?

You should invoke Memory Keeper after completing major milestones, at the end of work sessions, or when infrastructure tools and scripts are updated.

Is it safe to use on existing memory files?

Yes, it follows strict safety guidelines to read current content first, preserve existing headers, and only augment the file without deleting historical data.

How does it identify project changes?

It uses git logs, status-specific markdown files, and conversation history analysis to identify recent achievements, version bumps, and infrastructure changes.

What is the primary file this skill manages?

This skill specifically updates and manages the CLAUDE.md file, which serves as the central 'core memory' for project status, metadata, and historical context.

Memory Keeper

Name: Memory Keeper
Author: astoreyai

byastoreyai

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생산성 및 워크플로

Automates the maintenance of persistent project context and session notes in a centralized CLAUDE.md file.

소개

Memory Keeper is a specialized skill designed to manage long-term context by automatically updating a core memory file with project milestones, development patterns, and session summaries. By analyzing git history, file changes, and conversation statistics, it ensures your AI assistant remains aligned with current project status, versioning, and infrastructure updates. This skill eliminates manual bookkeeping by capturing technical observations and progress logs, providing a continuous 'single source of truth' across multiple coding sessions.

주요 기능

Persistent session logging with date-stamped major developments
Automated git activity analysis for milestone and version tracking
1 GitHub stars
Smart project status management across multiple repositories
Workflow and development pattern observation tracking
Automatic infrastructure update logging for tools and scripts

사용 사례

Summarizing progress and achievements at the end of a development session
Documenting major project milestones and version releases automatically
Maintaining long-term context and technical patterns across fragmented work sessions

소개

주요 기능

Persistent session logging with date-stamped major developments
Automated git activity analysis for milestone and version tracking
1 GitHub stars
Smart project status management across multiple repositories
Workflow and development pattern observation tracking
Automatic infrastructure update logging for tools and scripts

사용 사례

Summarizing progress and achievements at the end of a development session
Documenting major project milestones and version releases automatically
Maintaining long-term context and technical patterns across fragmented work sessions