# Percept

> Use this tool when you need to analyze visual data, detect objects, or interpret images, and integrate visual perception capabilities into your AI workflow. Percept solves problems related to image understanding, providing a structured interface for inputting visual content and outputting actionable insights. It enables AI agents to process and interpret visual data in various contexts, such as image classification, object recognition, and scene understanding.

Canonical page: https://skillsregistry.net/skills/davidemanueldev-percept  
JSON: https://api.skillsregistry.net/v1/skills/davidemanueldev-percept

## Description

Provides visual perception capabilities for AI agents including image analysis, object detection, and visual understanding tools. Enables agents to process and interpret visual content through a structured interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/davidemanueldev-percept)

## 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": "davidemanueldev-percept"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidemanueldev-percept` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidemanueldev-percept/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