# WinCode

> WinCode — linnnn89-wincode. Use this tool when you need to inspect and understand Windows and .NET application UI components without disrupting the user experience. WinCode solves the problem of manually interpreting screenshots by providing structured controls, runtime states, and source evidence, making it ideal for text-only LLMs and git-based development workflows. It offers a non-intrusive interface for background UI inspection and code intelligence, reducing overhead and improving productivity.

Canonical page: https://skillsregistry.net/skills/linnnn89-wincode  
JSON: https://api.skillsregistry.net/v1/skills/linnnn89-wincode

## Description

WinCode is a Windows/.NET MCP assistant for background UI inspection and code intelligence. It reduces screenshot-driven computer-use overhead with structured controls, runtime states, and source evidence—supporting text-only LLMs without taking focus.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/linnnn89/WinCode)

## 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": "linnnn89-wincode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linnnn89-wincode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linnnn89-wincode/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