Parse Gemini conversation JSON files into readable Markdown transcripts.
npx skills add https://github.com/kendreaditya/.config --skill gemini-convo
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
Convert Gemini/AI Studio conversation JSON files into a readable Markdown format, enabling quick review and extraction of messages, thinking blocks, and drive references.
Provide the path to a Gemini conversation JSON file to parse it into readable Markdown.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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