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qianlan333
qianlan333COMMUNITY
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image-library-curator

Automate AI-driven tagging and metadata management for CRM image assets.

Updated Aug 27, 2026
Search Tags:#mcp#crm#metadata#facets#image-management#ai-annotation#image-library
One-click install
npx skills add https://github.com/qianlan333/AI-CRM --skill image-library-curator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: image-library-curator
Source: https://github.com/qianlan333/AI-CRM/tree/main/skills/image-library-curator
Command: npx skills add https://github.com/qianlan333/AI-CRM --skill image-library-curator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The skill enables AI-driven organization of image assets in the CRM by generating consistent metadata and semantic tags without exposing raw data or invoking external LLMs for every operation.

Core Features & Use Cases

  • Batch annotation: enrich unlabeled images by generating descriptions, tags, and categories using vision-based insights.
  • Upload + annotate: automatically tag and describe newly uploaded images with MCP-backed metadata.
  • Chat-driven recommendation: quickly fetch and present relevant images during conversations to support customer interactions.
  • Safe updates: respects existing manual edits and uses overwrite=false to prevent unintended overwrites.

Quick Start

Upload an image or provide a batch of images to have the skill generate metadata and store it in CRM via MCP.

Frequently Asked Questions about image-library-curator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate image asset metadata tagging in CRM?▼

To automate image asset metadata tagging in CRM, you can batch annotate unlabeled images using vision-based insights to generate descriptions, tags, and categories stored via MCP tools.

Can I tag newly uploaded images automatically without external LLM calls?▼

Yes, newly uploaded images are automatically tagged and described using MCP-backed metadata, generating consistent tags entirely without external LLM calls or raw data exposure.

How does chat-driven image recommendation work in CRM?▼

Chat-driven image recommendation fetches and presents relevant images during customer interactions by leveraging MCP tools to read stored asset data and semantic metadata.

Will AI annotation overwrite my manual metadata edits?▼

No, AI annotation respects existing manual edits by enforcing safe metadata updates with overwrite=false, preventing unintended overwrites of your curated image library.

What is facet-driven vocabulary for image library management?▼

Facet-driven vocabulary for image library management ensures consistent metadata by applying structured, category-based semantic tags across batch annotations and single-image tagging operations.

Does this image management skill support batch annotation for unlabeled images?▼

Yes, the image management skill supports batch annotation to enrich unlabeled images by generating comprehensive descriptions, tags, and categories using vision-based insights.

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