# aws

> Use this tool when you need to manage and deploy cloud-based applications, storing and processing data on a scalable infrastructure. AWS solves problems related to computing power, storage, and database management, providing a range of services for various use cases, from web hosting to machine learning. It accepts inputs such as code, data, and configuration settings, and outputs include deployed applications, processed data, and analytics reports.

Canonical page: https://skillsregistry.net/skills/aws-docs  
JSON: https://api.skillsregistry.net/v1/skills/aws-docs

## 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:** cloud-infra
- **Updated:** 2026-09-02

## Source

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

## 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": "aws-docs"
    }
  }
}
```

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