# .NET Template Engine

> Use this tool when you need to automate template discovery, inspection, and project creation in .NET using natural language inputs. It solves problems such as streamlining template management, facilitating intent-based template matching, and validating templates for authors. The tool accepts natural language inputs and outputs generated projects, with support for both stdio and HTTP transports.

Canonical page: https://skillsregistry.net/skills/yuliiakovalova-dotnet-template  
JSON: https://api.skillsregistry.net/v1/skills/yuliiakovalova-dotnet-template

## Description

Wraps the .NET Template Engine to enable template discovery, inspection, and project creation through natural language. Provides 14 tools including intent-based template matching, interactive parameter elicitation, batch template composition, template validation for authors, and solution analysis. Supports both stdio and HTTP transports, with NuGet auto-resolution for templates not yet installed.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yuliiakovalova-dotnet-template)
- **Repository:** <https://github.com/yuliiakovalova/dotnet-template-mcp>

## 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": "yuliiakovalova-dotnet-template"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yuliiakovalova-dotnet-template` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yuliiakovalova-dotnet-template/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