# patiently-ai

> patiently-ai — nickjlamb-patiently-ai. Use this tool when you need to simplify complex medical documents for patients, making it easier for them to understand their health information. It solves problems of medical jargon and technical terminology, improving patient comprehension and engagement. The tool takes in medical documents as input and outputs easy-to-understand explanations, making it ideal for healthcare providers and patients seeking to enhance health literacy.

Canonical page: https://skillsregistry.net/skills/nickjlamb-patiently-ai  
JSON: https://api.skillsregistry.net/v1/skills/nickjlamb-patiently-ai

## Description

Patiently AI simplifies medical documents for patients.

## 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:** file-system
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/nickjlamb-patiently-ai)

## 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": "nickjlamb-patiently-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nickjlamb-patiently-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nickjlamb-patiently-ai/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