Use Case
Stop doing repetitive design & creative tasks manually. Fetch Archive to Lexiang lets your AI agent handle them automatically through natural conversation. Universal article crawling and archiving tool. Capture the full text of articles from any URL (free/paid/login wall), convert them into structured Markdown, and optionally transfer them to the Lexiang knowledge base. Support login status management for paid platforms such as Substack, Medium, and Knowledge Planet. Supports YouTube video download (yt-dlp), podcast audio download (Little Universe FM, etc.), audio transcription (Whisper), translation (Chinese... This guide shows practical examples of using Fetch Archive to Lexiang to automate common design & creative workflows and save hours every week.
Install Fetch Archive to Lexiang: npx clawhub@latest --dir ~/.claude/skills install fetch-archive-to-lexiang
Identify the repetitive design & creative tasks you want to automate
Describe the task to your AI in plain English
Fetch Archive to Lexiang will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Fetch Archive to Lexiang
Automate my design & creative tasks using Fetch Archive to Lexiang
What repetitive tasks can Fetch Archive to Lexiang handle for me?
Set up a workflow that runs Fetch Archive to Lexiang every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install fetch-archive-to-lexiangOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install fetch-archive-to-lexiangβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/fetch-archive-to-lexiang/π‘Extract and place the folder at the path above, then restart your agent.