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tencentcloud-cos-skill

腾讯云对象存储(COS)和数据万象(CI)集成 - 基于官方MCP服务器的Clawdbot技能

Why use this skill?

Seamlessly manage Tencent Cloud Object Storage and CI media processing within OpenClaw. Upload files, perform AI image tasks, and automate workflows with ease.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/shawnminh/tencent-cloud-cos
Or

What This Skill Does

The Tencent Cloud COS (Cloud Object Storage) skill provides a comprehensive bridge between the OpenClaw agent and Tencent Cloud's storage and intelligent media processing services. By leveraging the official cos-mcp MCP server, this skill empowers your AI agent to act as a sophisticated data manager and media technician. It allows for seamless file operations, including uploading, downloading, and managing complex bucket structures. Beyond basic storage, it enables advanced AI-driven media capabilities such as image quality assessment, background removal, super-resolution (upscaling), and automated document conversion. Whether you need to organize large archives, automate media pipelines, or perform complex image analysis, this skill acts as your orchestrator in the Tencent Cloud ecosystem.

Installation

To integrate this skill, first ensure you have the cos-mcp server installed via npm: npm install -g cos-mcp@latest. Once installed, you need to configure your environment variables. In your ~/.openclaw/openclaw.json file, populate the env section with your unique TENCENT_COS_SECRET_ID, TENCENT_COS_SECRET_KEY, TENCENT_COS_REGION, and your target TENCENT_COS_BUCKET. Once configured, restart the OpenClaw agent to initialize the cloud connection.

Use Cases

  • Automated Media Pipelines: Automatically monitor an upload folder, generate thumbnails, assess image quality, and watermark new assets.
  • Intelligent Archiving: Search through massive image datasets using natural language descriptions or reference images without needing manual indexing.
  • Document Digitization: Convert various document formats directly to PDF and extract information from embedded QR codes.
  • Content Quality Control: Use AI assessment tools to automatically filter out low-resolution or poor-quality assets from your storage library.

Example Prompts

  1. "Upload the file 'vacation_photo.jpg' from my local machine to the 'projects' folder in COS and tell me its file size once finished."
  2. "Scan the image 'logo.png' in the root directory, identify the QR code content, and then add a watermark with the text 'Confidential' to the image."
  3. "Find all relevant landscape photos from my storage that match the description 'sunset over the mountains' and provide a summary list."

Tips & Limitations

  • Permissions: Ensure your SecretID and SecretKey have strictly scoped permissions (Read/Write) for the specific bucket to minimize security risks.
  • Cost Efficiency: Be aware that image processing and AI-driven tasks (like super-resolution) incur costs per use via Tencent Cloud CI. Use them judiciously.
  • Networking: High-latency network environments might affect performance during large bulk uploads; consider batching your operations for better stability.

Metadata

Author@shawnminh
Stars1015
Views4
Updated2026-02-15
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-shawnminh-tencent-cloud-cos": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#tencent-cloud#storage#cloud-storage#media-processing#ai-media
Safety Score: 4/5

Flags: network-access, file-write, file-read, external-api