# aivsf

> Use this tool when you need to analyze and process various types of data, solve complex problems, or automate tasks. The aivsf tool provides core functionality for data analysis, processing, and automation, solving use cases such as data visualization, pattern recognition, and predictive modeling. It accepts various data inputs and outputs processed results, making it a versatile tool to use in contexts where data-driven insights are required.

Canonical page: https://skillsregistry.net/skills/exploreaisb-aivsf  
JSON: https://api.skillsregistry.net/v1/skills/exploreaisb-aivsf

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

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

## 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": "exploreaisb-aivsf"
    }
  }
}
```

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