Can I provide a custom name for the session export?

Yes, you can pass an optional 'claim' as an argument to the command. If omitted, the skill will intelligently derive a claim from the session's main topic.

Does the export include internal tool call technicalities?

No, the skill specifically omits tool call details while keeping informative results, ensuring the resulting Markdown file remains clean and human-readable.

Where are the exported files stored?

Conversations are saved in the 'memory/' directory of your project using a standardized naming convention of 'session - timestamp - claim.md'.

Is the output compatible with other Markdown editors?

Absolutely. The skill uses standard Markdown syntax, making the exports fully compatible with tools like Obsidian, VS Code, and GitHub.

Why are timestamps included in the filenames?

Timestamps provide a unique, chronological identifier for every session, making it easier to navigate historical logs and avoid filename collisions.

Session Markdown Exporter

Name: Session Markdown Exporter
Author: agenticnotetaking

byagenticnotetaking

•

Productivity & Workflow

Exports active AI conversations into structured Markdown files for persistent documentation and session history.

The tomd skill streamlines the process of capturing and archiving AI interactions by converting the current conversation history into a clean, readable Markdown format. It automatically generates standardized filenames based on a timestamp and a derived session topic, saving the output to a dedicated memory directory. This skill is particularly useful for developers who want to maintain a long-term record of implementation decisions, architectural discussions, or debugging sessions without the clutter of raw tool call data, ensuring that valuable insights from AI interactions are preserved for future reference.

Key Features

0136 GitHub stars

02Automatic session topic extraction for descriptive naming

03Filters out noisy tool call details for maximum readability

04Standardized timestamp-based file organization

05Preserves full conversation context and code blocks

06Automated storage in a dedicated project memory directory

Use Cases

01Documenting architectural decisions made during an AI-assisted coding session

02Archiving complex debugging sessions for future reference

03Sharing readable conversation logs with team members or in documentation wikis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agenticnotetaking/eidos tomd

For use in Claude.ai and ChatGPT

Download Skill