# wiri

> wiri — ehm-93-wiri. Use this tool when you need to create and manage wireframes efficiently, solving problems of layout and design inconsistencies. Wiri takes in semantic scene graphs as input and outputs deterministic renders and lint findings, streamlining the editing process. It is ideal for LLM operators requiring a headless wireframing solution with flexible layout management and automated error detection.

Canonical page: https://skillsregistry.net/skills/ehm-93-wiri  
JSON: https://api.skillsregistry.net/v1/skills/ehm-93-wiri

## Description

Wiri is a headless wireframing MCP server designed for an LLM operator. It stores each screen as a small semantic scene graph, lays elements out without absolute coordinates, and closes the editing loop with deterministic renders and lint findings.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v87v8eemrf)
- **Repository:** <https://github.com/ehm-93/wiri>

## 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": "ehm-93-wiri"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ehm-93-wiri` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ehm-93-wiri/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