# com.vviinn/commerce-context-layer

> Use this tool when you need to enhance commerce experiences with AI-driven search and discovery capabilities. It solves problems of inefficient product finding and recommendation by providing semantic and visual search functionalities. The context layer takes in user input and product data, outputting relevant results to facilitate informed purchasing decisions.

Canonical page: https://skillsregistry.net/skills/com-vviinn-commerce-context-layer  
JSON: https://api.skillsregistry.net/v1/skills/com-vviinn-commerce-context-layer

## Description

Context layer with semantic and visual search and discovery for agentic commerce — by vviinn.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.30.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-08

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.vviinn%2Fcommerce-context-layer)

## Use it

MCP endpoint published by the skill: `https://api.vviinn.com/mcp`

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": "com-vviinn-commerce-context-layer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-vviinn-commerce-context-layer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-vviinn-commerce-context-layer/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