# agent-skills

> agent-skills — preset-io-agent-skills. Use this tool when you need to leverage agent skills for data analysis and integration across various platforms, including Preset, Apache Superset, and Snowflake Cortex, with compatibility across multiple AI models like Claude, Codex, and Gemini CLI. It solves problems related to data visualization, business intelligence, and workflow automation, accepting inputs from git and other data sources. This tool is ideal for use cases requiring seamless interaction between AI agents and data analytics platforms.

Canonical page: https://skillsregistry.net/skills/preset-io-agent-skills  
JSON: https://api.skillsregistry.net/v1/skills/preset-io-agent-skills

## Description

Agent skills for Preset, Apache Superset, Superset MCP & Snowflake Cortex — works across Claude, Codex, Cursor, Copilot, Cortex Code & Gemini CLI.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/preset-io/agent-skills)

## 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": "preset-io-agent-skills"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/preset-io-agent-skills` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/preset-io-agent-skills/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