When should I use the Maintenance skill?

Use this skill when your project files like Plans.md or session-log become too large, or when you need to archive completed tasks to clear your workspace.

Does it delete my project history?

The skill is designed to archive and organize data rather than perform destructive deletions, ensuring your project history remains accessible but out of the primary workspace.

Can this skill be used for writing new code?

No, the Maintenance skill is specifically restricted from implementation tasks, reviews, and new feature development to ensure it focuses strictly on organization.

Which tools does the Maintenance skill utilize?

It uses Read, Write, Edit, and Bash tools to safely move, modify, and reorganize files within your project directory.

How do I trigger the cleanup process?

You can trigger it by asking Claude to 'organize files', 'archive completed items', or by using specific keywords like 'cleanup' or '整理'.

Project Maintenance & Cleanup

Name: Project Maintenance & Cleanup
Author: Chachamaru127

byChachamaru127

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Productivity & Workflow

Organizes and archives project files to maintain a lean, efficient development environment within Claude Code.

About

The Maintenance skill is designed to manage project hygiene by systematically cleaning up bloated files and archiving outdated information. It specifically targets task management files like Plans.md and system-generated session logs, ensuring that the Claude Code harness remains performant and focused. By automating the organization of completed items and reorganizing file structures, it prevents context window saturation and keeps the developer's workspace clutter-free during long-term projects.

Key Features

Intelligent archiving of completed tasks and project items
6 GitHub stars
Project file reorganization to prevent repository bloat
Seamless integration with autonomous Plan-Work-Review cycles
Support for custom cleanup logic via sub-skill routing
Automated cleanup of Plans.md and session-log files

Use Cases

Archiving finished development sprints to reduce file noise
Managing large session logs that impact AI performance
Reorganizing project structures before starting new feature phases

About

Key Features

Intelligent archiving of completed tasks and project items
6 GitHub stars
Project file reorganization to prevent repository bloat
Seamless integration with autonomous Plan-Work-Review cycles
Support for custom cleanup logic via sub-skill routing
Automated cleanup of Plans.md and session-log files

Use Cases

Archiving finished development sprints to reduce file noise
Managing large session logs that impact AI performance
Reorganizing project structures before starting new feature phases