# OrangeCandy

> OrangeCandy — nechja-orangecandy. Use this tool when you need to debug and troubleshoot .NET applications, as it provides an AI-assisted suite with complementary tools for agents and a live dashboard for humans, accepting git inputs and offering real-time output for efficient issue resolution. It solves problems related to code errors, performance issues, and optimization, streamlining the development process. Ideal for use during software development and testing phases.

Canonical page: https://skillsregistry.net/skills/nechja-orangecandy  
JSON: https://api.skillsregistry.net/v1/skills/nechja-orangecandy

## Description

AI-assisted debugging suite for .NET. A single MCP server that provides two complementary tools for AI agents and a live dashboard for us humans.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Nechja/OrangeCandy)

## 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": "nechja-orangecandy"
    }
  }
}
```

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