# camino-query

> camino-query — james-southendsolutions-camino-query. Use this tool when you need to search for specific locations using natural language queries, solving problems such as finding addresses, points of interest, or geographic coordinates. It takes in text-based inputs and returns relevant location results, making it ideal for applications that require location intelligence. This tool is particularly useful in contexts where users need to find places using everyday language, such as in mapping, navigation, or travel planning applications.

Canonical page: https://skillsregistry.net/skills/james-southendsolutions-camino-query  
JSON: https://api.skillsregistry.net/v1/skills/james-southendsolutions-camino-query

## Description

Search for places using natural language with Camino AI's location intelligence API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/james-southendsolutions-camino-query)

## 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": "james-southendsolutions-camino-query"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/james-southendsolutions-camino-query` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/james-southendsolutions-camino-query/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