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AI Vision Skill: Enhance Image Recognition for Claude Code

AI Vision Skill: Enhance Image Recognition for Claude Code

Regular price £11.99
Regular price £11.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
AI Vision Skill: Enhance Image Recognition for Claude Code

AI Vision Skill: Enhance Image Recognition for Claude Code

Regular price £11.99
Regular price £11.99 Sale price
SAVE Sold out

AI Vision Skill: Enhance Image Recognition for Claude Code

This AI Vision Skill enables Claude Code to enhance its image recognition capabilities by processing images for text descriptions. It is designed to interpret content from various image formats, including local files and screenshots, by integrating a vision model script for detailed text extraction.

What this skill does

The AI Vision Skill operates by following a structured workflow:

  • Locates the image file path from user messages. If the path is not specific, it defaults to the latest clipboard screenshot.
  • Executes the vision.py script using the identified image path, which provides a text-based description of the image content.
  • Returns an accurate text description, ensuring that critical details such as error messages and important text are conveyed precisely as identified in the images.

Who it is for

This skill is ideal for developers and teams utilizing AI coding agents such as Claude Code, Cursor, or Codex. It is particularly useful for those requiring enhanced image processing capabilities for text interpretation and content analysis.

Use cases

Realistic scenarios where this skill can be beneficial include:

  • Analyzing error screenshots to assist in debugging processes.
  • Extracting OCR (Optical Character Recognition) data while maintaining the original formatting for document processing.
  • Converting table images into Markdown format for documentation or data analysis.
  • Comparing multiple images for detailed examinations or audits.

Technical details

The AI Vision Skill uses the vision model script vision.py and requires configuration of environment variables via a .env file or direct environment variable export. Integration with OpenAI-compatible APIs is necessary for vision model access, configured by setting the VISION_API_URL, VISION_MODEL, and VISION_API_KEY.

This skill supports several command options for diverse scenarios, including OCR mode, table conversion, code recognition, and image comparisons. It ensures a high-quality image recognition workflow by providing methods for both global and localized image analysis, crucial for precise interpretations.


Source & Licence

This package is built on open-source work published by DDDFXYqiming (DDDFXYqiming/Agent_Extensions) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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