Does this skill work with all Claude Code tasks?

Yes, once enabled, it monitors and captures the output generated during your active Claude Code session.

What is the purpose of the Output Dump skill?

It allows users to toggle a recording state that automatically saves Claude's complete outputs into a local folder for future reference.

Can I use these logs for version control?

Yes, you can either commit the markdown logs to your repository for documentation or add the .dump folder to your .gitignore if you prefer local-only logs.

Where are the output files stored?

Files are stored in a dedicated directory named '.dump' within your project's root folder.

How do I check if logging is currently enabled?

Running the skill command will automatically check for the existence of the '.enabled' flag file and report the current status to you.

Output Logger Toggle

Name: Output Logger Toggle
Author: digital-stoic-org

bydigital-stoic-org

分析与监控

Toggles automatic recording of Claude's session history into timestamped markdown files for persistent logging and review.

关于

The Output Dump skill provides a streamlined way to maintain a persistent audit trail of your interactions with Claude. By toggling a simple flag, you can ensure that every response is captured in a local directory, making it invaluable for debugging long-running tasks, auditing AI-generated code changes, or preserving session history that might otherwise be lost. It utilizes a lightweight file-based state management system to activate or deactivate logging without complex configuration.

主要功能

0 GitHub stars
Real-time status feedback for current logging state
Lightweight integration with existing project workflows
Timestamped markdown exports for easy chronological review
Simple toggle mechanism to enable or disable logging
Automated directory management within the .dump folder

使用场景

Debugging multi-step AI tasks by reviewing the history of intermediate outputs
Creating a permanent archive of complex coding sessions for documentation
Sharing detailed AI interaction logs with team members for peer review

关于

主要功能

0 GitHub stars
Real-time status feedback for current logging state
Lightweight integration with existing project workflows
Timestamped markdown exports for easy chronological review
Simple toggle mechanism to enable or disable logging
Automated directory management within the .dump folder

使用场景

Debugging multi-step AI tasks by reviewing the history of intermediate outputs
Creating a permanent archive of complex coding sessions for documentation
Sharing detailed AI interaction logs with team members for peer review