gemini-convo

Parse Gemini conversation JSON files into readable Markdown transcripts.

Updated May 18, 2022

Search Tags:#markdown #json #conversation #gemini #parser #drive #ai-studio

Ready to run

npx skills add https://github.com/kendreaditya/.config --skill gemini-convo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gemini-convo
Source: https://github.com/kendreaditya/.config/tree/main/claude/skills/gemini-convo
Command: npx skills add https://github.com/kendreaditya/.config --skill gemini-convo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Convert Gemini/AI Studio conversation JSON files into a readable Markdown format, enabling quick review and extraction of messages, thinking blocks, and drive references.

Core Features & Use Cases

Parses JSON with mime type application/vnd.google-makersuite.prompt and extracts runSettings.model, chunkedPrompt.chunks, text, parts, and driveDocument references.
Produces a clean, readable Markdown transcript of user and model messages, including optional thinking blocks.
Integrates with Google Drive workflows to reference and trace documents used in conversations.

Quick Start

Provide the path to a Gemini conversation JSON file to parse it into readable Markdown.

Frequently Asked Questions about gemini-convo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert Gemini conversation JSON files to readable markdown?▼

You can parse Gemini conversation JSON files into readable markdown by executing a Python 3 script that extracts text, parts, and drive document references. It produces a clean markdown transcript of user and model messages.

How does parsing AI Studio conversation JSON handle thinking blocks and streamed parts?▼

Parsing AI Studio conversation JSON handles thinking blocks and streamed parts by extracting the chunkedPrompt chunks and text fields. It formats these elements into a continuous, readable markdown transcript for quick review.

Do I need Python 3 to parse Gemini conversation JSON into markdown?▼

Yes, you need Python 3 installed to run the parse script required for extracting Gemini conversation data. The script processes the JSON input and outputs the formatted markdown transcript.

Can I extract Google Drive document references from Gemini conversation exports?▼

Yes, you can extract Google Drive document references from Gemini conversation exports. The parser integrates with Google Drive workflows to trace and reference documents used during the conversation within the markdown output.

What is the best way to review Gemini AI chat logs exported as JSON?▼

The best way to review Gemini AI chat logs exported as JSON is converting them into markdown format. This extracts the runSettings model details and conversation chunks into a clean, readable document for quick analysis.