Where are the exported markdown files stored?

Files are saved to /tmp/claude-code-sessions/ with a timestamped filename, and the absolute path is automatically copied to your clipboard for quick access.

Can it export sessions that have been compacted?

Yes, the script is designed to automatically merge pre-compact backups if they exist, ensuring you get the full conversation history.

What analytics are included in the exported session?

The export includes total session cost, token breakdown (input, output, and cache), LLM active/idle time, and utilization percentages.

Do I need to know my Claude Code session ID to export it?

No, this skill uses a unique fuzzy-matching system. You simply create a Todo describing the session topic, and the script identifies the correct ID automatically.

Does it support sessions that used multiple different AI models?

Yes, it tracks and displays model-specific data for each message in the conversation, providing an accurate view of multi-model workflows.

Share Session

Name: Share Session
Author: code-yeongyu

bycode-yeongyu

生产力与工作流

Converts Claude Code conversation sessions into formatted markdown documents with detailed cost and time analytics.

关于

Share Session is a specialized workflow tool for Claude Code that automates the transformation of terminal-based sessions into readable, shareable markdown files. It solves the difficulty of session retrieval by using a fuzzy-matching Todo system to identify transcripts without requiring manual session IDs. The skill integrates deeply with ccusage to provide precise token counting and dollar-cost calculations, while also offering advanced performance metrics like LLM active/idle time and utilization percentages. It is a vital utility for developers who need to document complex problem-solving steps, share AI-assisted progress with teammates, or maintain a structured archive of their coding workflows.

主要功能

0 GitHub stars
Advanced session timeline metrics including LLM active and idle time
Fuzzy-matching session identification via Todo descriptions
Comprehensive cost and token tracking integrated with ccusage
Automated clipboard integration for instant file path sharing
Detailed markdown export with collapsible tool usage and thinking blocks

使用场景

Auditing AI performance and cost efficiency across specific development tasks
Sharing detailed AI-assisted implementation logic with team members for review
Creating documentation or tutorials from a successful debugging session

关于

主要功能

0 GitHub stars
Advanced session timeline metrics including LLM active and idle time
Fuzzy-matching session identification via Todo descriptions
Comprehensive cost and token tracking integrated with ccusage
Automated clipboard integration for instant file path sharing
Detailed markdown export with collapsible tool usage and thinking blocks

使用场景

Auditing AI performance and cost efficiency across specific development tasks
Sharing detailed AI-assisted implementation logic with team members for review
Creating documentation or tutorials from a successful debugging session