# VisionPower

> VisionPower — helalove0812-source-visionpro-suite. Use this tool when you need to analyze visual data, extract text from images, or interpret charts and graphs. VisionPower solves problems related to image understanding, text extraction, and data visualization by leveraging OpenAI-compatible vision models. It accepts various inputs, including local images, URLs, and base64-encoded images, and outputs interpreted data, making it ideal for applications requiring image analysis and text recognition.

Canonical page: https://skillsregistry.net/skills/helalove0812-source-visionpro-suite  
JSON: https://api.skillsregistry.net/v1/skills/helalove0812-source-visionpro-suite

## Description

VisionPower enables AI agents to analyze images, read text from screenshots, and interpret charts using any OpenAI-compatible vision model. It supports local images, URLs, base64, and multiple images with order preservation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e0p5ohlntn)
- **Repository:** <https://github.com/helalove0812-source/visionpro-suite>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "helalove0812-source-visionpro-suite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/helalove0812-source-visionpro-suite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/helalove0812-source-visionpro-suite/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt