# Quire

> Quire — jenellesketchy2477-quire. Use this tool when you need to create a customizable, local-first document editor with advanced rendering capabilities. Quire solves problems related to document editing and collaboration by providing a flexible, web-based solution with WebGPU compositing. It takes in HTML, CSS, and JavaScript inputs and outputs a feature-rich document editor, ideal for use cases requiring a Word-inspired interface with git integration.

Canonical page: https://skillsregistry.net/skills/jenellesketchy2477-quire  
JSON: https://api.skillsregistry.net/v1/skills/jenellesketchy2477-quire

## Description

Build a local-first Word-inspired document editor in pure HTML, CSS, and JavaScript with WebGPU compositing.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jenellesketchy2477/Quire)

## 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": "jenellesketchy2477-quire"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jenellesketchy2477-quire` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jenellesketchy2477-quire/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