# intelligence

> Use this tool when you need to leverage general knowledge and capabilities to solve complex problems, integrate with git for version control, and automate tasks. It provides a broad range of functionalities to address various use cases, accepting natural language inputs and generating informative outputs. Ideal for applications requiring adaptability and intelligence, such as data analysis, troubleshooting, and development workflows.

Canonical page: https://skillsregistry.net/skills/mcpvot-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/mcpvot-intelligence

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mcpvot/intelligence)

## 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": "mcpvot-intelligence"
    }
  }
}
```

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