# contextui

> contextui — midz99-contextui. Use this tool when you need to create customized visual workflows for AI agents, streamlining complex tasks and enhancing productivity. ContextUI solves problems related to workflow management, automation, and collaboration by providing a local-first desktop platform for building, running, and publishing workflows. It accepts various inputs, such as workflow designs and AI models, and outputs executable workflows, making it ideal for use cases that require flexible and efficient workflow management.

Canonical page: https://skillsregistry.net/skills/midz99-contextui  
JSON: https://api.skillsregistry.net/v1/skills/midz99-contextui

## Description

Build, run, and publish visual workflows on ContextUI — a local-first desktop platform for AI agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/midz99-contextui)

## 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": "midz99-contextui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/midz99-contextui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/midz99-contextui/pull`

---
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
