AiChat-QuickJump

Enables users to preview individual messages within AI chat conversations without full page navigation by injecting DOM manipulation logic into ChatGPT, Gemini, and other AI chat platforms. Uses Chrome extension content script injection to intercept and augment the native chat UI, adding preview overlays and jump-to-message functionality that preserves scroll position and conversation context.

Allows users to mark specific messages as favorites and organize them with custom tags, storing metadata in Chrome's local storage API. The extension maintains a JSON-based index of favorited messages (including message text, timestamp, conversation ID, and user-defined tags) that persists across browser sessions and enables quick filtering and retrieval without re-accessing the original conversation.

Provides client-side filtering of messages within a conversation by message content, timestamp, or custom tags through DOM query logic and localStorage index lookups. The extension builds an in-memory index of all messages in the current conversation and applies filter predicates to surface matching messages, enabling fast substring search and tag-based filtering without requiring API calls or conversation re-fetching.

Extends the native UI of multiple AI chat platforms (ChatGPT, Gemini, Claude) through a unified content script architecture that detects the current platform and applies platform-specific DOM selectors and event handlers. Uses feature detection and CSS class/ID matching to identify message containers, input fields, and UI elements across different platform implementations, then injects custom UI controls (preview buttons, favorite icons, filter inputs) into the native interface.

Provides keyboard shortcuts for jumping to next/previous messages, toggling favorite status, and opening the filter panel without using the mouse. Implements a global keyboard event listener in the content script that intercepts key combinations (e.g., Ctrl+J for jump, Ctrl+F for favorite) and triggers corresponding navigation or UI state changes, with support for customizable keybindings stored in extension options.

Enables users to export selected or all favorited messages from a conversation in multiple formats (JSON, CSV, Markdown) with metadata (timestamp, tags, conversation ID). Implements a batch processing pipeline that iterates over the favorite index or selected messages, formats them according to the chosen export template, and generates a downloadable file through the browser's download API.