Scripts by malacon

// Name: Google Tasks Manager
// Description: A lightweight Google Tasks client with full CRUD operations
// Author: malacon

import '@johnlindquist/kit'
import { google } from 'googleapis'
import { OAuth2Client } from 'google-auth-library'

/*
 * ── SETUP REQUIREMENTS ──
 * 
 * 1. Enable Google Tasks API in Google Cloud Console:
 *    https://console.cloud.google.com/apis/library/tasks.googleapis.com
 * 
 * 2. Create OAuth 2.0 credentials (Desktop Application):
 *    https://console.cloud.google.com/apis/credentials
 *    Download the JSON file (client_secret_xxx.json)
 * 
 * 3. First run will prompt for the path to your credentials file
 * 

// Name: Wrap Selected Text in Tags
// Description: Wraps selected text in opening and closing tags
// Author: malacon

import "@johnlindquist/kit"

const selectedText = await getSelectedText()

if (!selectedText) {
  await div(md("No text selected. Please select some text first."))
  exit()
}

const tagName = await arg("Enter tag name:", {
  placeholder: "e.g., div, span, strong",
  hint: "Enter the HTML tag name (without < >)"
})

const wrappedText = `<${tagName}>${selectedText}</${tagName}>`

// Name: Download Blobs from Website
// Description: Downloads blob images from a specified website and saves them as PNG files.

import '@johnlindquist/kit'

async function downloadBlobs() {
  // Prompt the user to enter the website URL
  const url = await arg('Enter website URL to scrape blobs from:');

  // Define the CSS selector to target the div elements containing blob images.
  // Updated selector to target divs with class 'img highres' and extract backgroundImage style
  const imageDivs = await scrapeSelector(
    url,
    'div.img.highres',
    (element) => {
      const style = element.getAttribute('style');
      const match = style?.match(/background-image: url\("([^"]*)"\)/);
      return match ? match[1] : null; // Extract blob URL from background-image style
    }
  );

// Name: AI Magisterium Chat
// Description: Chat with AI Magisterium and save conversations
// Author: AI Script Generator

import "@johnlindquist/kit";
import { PromptConfig } from "@johnlindquist/kit";
import Magisterium from "magisterium"; // Assuming this is the correct package name
import { ChatCompletionMessageParam } from "openai/resources/chat"; // Type for message objects
import markdown from "@wcj/markdown-to-html";

// --- Constants and Type Definitions ---
const CONVERSATIONS_DIR = kenvPath("ai-magisterium-chats");
const CHAT_FILE_EXTENSION = "json";

interface ConversationMessage {
  role: "user" | "assistant";
  content: string;
}

interface ConversationData {