Use Case
Stop doing repetitive design & creative tasks manually. Tencent Cloud COS lets your AI agent handle them automatically through natural conversation. Tencent Cloud Object Storage (COS) and Data Integration (CI) integration skills. Covering the three core scenarios of file storage management, AI processing and knowledge base. Storage scenarios: Upload files to the cloud, download cloud files, manage bucket files in batches, obtain file signature links to share, and view file metainformation. Image processing scenarios: image quality assessment and scoring, AI super-resolution enlargement, AI intelligent cropping, QR code/barcode recognition, adding text watermarks, obtaining image EXI... This guide shows practical examples of using Tencent Cloud COS to automate common design & creative workflows and save hours every week.
Install Tencent Cloud COS: npx clawhub@latest --dir ~/.claude/skills install tencentcloud-cos-skill
Identify the repetitive design & creative tasks you want to automate
Describe the task to your AI in plain English
Tencent Cloud COS 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 Tencent Cloud COS
Automate my design & creative tasks using Tencent Cloud COS
What repetitive tasks can Tencent Cloud COS handle for me?
Set up a workflow that runs Tencent Cloud COS every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install tencentcloud-cos-skillOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install tencentcloud-cos-skillβ 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/tencentcloud-cos-skill/π‘Extract and place the folder at the path above, then restart your agent.