KakaoTalk Automated Dialogue Dataset Curation Utility

[Overview] This project provides a fully automated, lightweight Python integration skill for Google Antigravity to programmatically extract and export chat logs from the KakaoTalk PC application on Windows. [Value Proposition] Manual copy-pasting of KakaoTalk chats is tedious and prone to formatting errors. This automation tool provides an effortless way to import conversation data directly into your workspace or local files. It is highly valuable for developers, researchers, and data analysts performing natural language processing (NLP), conversation analysis, or AI model training using KakaoTalk data. [Methodology & Key Features] - Zero Dependencies: Built entirely using Windows ctypes and standard Python libraries (no heavy third-party UI automation packages required). - Session Isolation Bypass: Solves the common terminal/sandbox session isolation issue by programmatically switching the thread desktop station to the user's interactive "Default" desktop. - Automated Clipboard Handling: Safely activates the KakaoTalk chat window, focuses the dialogue log area, executes select-all and copy key sequences, and reads from the system clipboard. - Smart Parsing: Intelligently identifies the latest KakaoTalk date separators to filter and extract only "today's" conversation history by default, while supporting full log export via arguments. [Target Audience] - AI developers building personalized chatbot agents based on KakaoTalk conversations. - NLP researchers collecting dialogue datasets. - Power users wanting to automate chat backups or bridge KakaoTalk with external LLMs.