Converts Claude Code JSONL session logs into clean, readable Markdown files for sharing and documentation.
This skill automates the process of transforming raw Claude Code JSONL logs into human-readable Markdown format, making it easy to archive, review, or share AI coding sessions. It automatically detects the most recent session, supports the inclusion of assistant 'thinking' blocks in collapsible sections, and provides options for content truncation to keep documents concise. Whether you need to document a complex debugging session or share an AI-driven implementation path with your team, this utility streamlines the export process directly from your terminal by formatting tool calls, results, and metadata into a structured document.
Key Features
01Optional rendering of internal assistant thinking blocks in collapsible tags
02Structured rendering of tool calls, results, and error logs
03Automatic detection of the most recent Claude Code session log
04Customizable content truncation for manageable file sizes
05Metadata extraction including session IDs, timestamps, and working directories
062 GitHub stars
Use Cases
01Archiving AI coding sessions for internal project documentation or future reference
02Sharing a step-by-step AI implementation process with team members in a readable format
03Reviewing assistant thinking patterns and tool interactions to optimize future prompting strategies
