# intervals-icu

> Use this tool when you need to efficiently manage and access training data for machine learning models, solving problems related to data organization and retrieval. It provides a comprehensive guide for streamlined data access, taking in raw data as input and outputting organized training datasets. Ideal for use cases where data preparation and management are crucial, such as model development and deployment.

Canonical page: https://skillsregistry.net/skills/pseuss-intervals-icu-api  
JSON: https://api.skillsregistry.net/v1/skills/pseuss-intervals-icu-api

## Description

Complete guide for accessing and managing training data.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/pseuss-intervals-icu-api)

## 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": "pseuss-intervals-icu-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pseuss-intervals-icu-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pseuss-intervals-icu-api/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