# swamp

> swamp — umag-swamp. Use this tool when you need to model and test APIs, or enrich existing capabilities with new ones, to streamline the development lifecycle from idea to working implementation. Swamp takes in API ideas and outputs tested, functional models, allowing for seamless integration and enhancement of existing systems. Ideal for use cases where API development, testing, and iteration are required.

Canonical page: https://skillsregistry.net/skills/umag-swamp  
JSON: https://api.skillsregistry.net/v1/skills/umag-swamp

## Description

Model any API with Swamp, test it, and enrich *Claw with new capabilities — full lifecycle from idea to working.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/umag-swamp)

## 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": "umag-swamp"
    }
  }
}
```

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