Is the log format readable?

Yes, the logs are saved as Markdown (.md) files, making them easy to read in any text editor or render in documentation tools.

Does this skill summarize my sessions?

No, the Session Recorder is designed to record the complete, unedited history of questions and answers to ensure data accuracy and technical detail.

Where are the session logs stored by default?

Logs are stored in the '~/daily_work' directory on your machine, organized into subdirectories for easy retrieval.

Can I use this with different AI models or agents?

Yes, the skill dynamically detects the active identity (like 'claude' or 'gemini') and uses that name to prefix the log files.

Does it log errors or cancelled commands?

The skill includes a filtering step that excludes cancelled operations and tool execution errors that didn't result in a successful answer, keeping your logs clean.

Session Recorder

Name: Session Recorder
Author: primatrix

byprimatrix

0•

Productivity & Workflow

Automates the logging of AI interactions into organized, agent-specific markdown files for documentation and progress tracking.

Session Recorder is a specialized skill designed to create a precise, unedited audit trail of AI agent interactions. It automatically detects the active CLI agent—such as Claude, Gemini, or Codex—and preserves the full history of questions and answers within a date-organized directory structure. By filtering out noise like cancelled operations and execution errors, it provides developers with a clean, searchable record of their work, making it an essential tool for automated progress tracking, auditing AI-driven code changes, and building a structured personal knowledge base.

Key Features

01Date-organized directory structure for easy file management

02Agent-specific dynamic log naming (e.g., claude-session.md)

03One-sentence session titling for quick context identification

04Automatic extraction of complete, unedited interaction history

05Smart filtering of redundant summaries and tool execution errors

060 GitHub stars

Use Cases

01Generating automated daily work logs and progress reports

02Creating a searchable knowledge base from AI-assisted development sessions

03Auditing AI decision-making processes for security or compliance

Key Features

01Date-organized directory structure for easy file management

02Agent-specific dynamic log naming (e.g., claude-session.md)

03One-sentence session titling for quick context identification

04Automatic extraction of complete, unedited interaction history

05Smart filtering of redundant summaries and tool execution errors

060 GitHub stars

Use Cases

01Generating automated daily work logs and progress reports

02Creating a searchable knowledge base from AI-assisted development sessions

03Auditing AI decision-making processes for security or compliance