# NitroStack Starter Template

> NitroStack Starter Template — projectakshith-netsniff. Use this tool when you need to quickly set up a NitroStack project with a basic calculator-focused MCP server, or when building a custom MCP server requires TypeScript and Zod validation for robust data handling. It solves problems related to rapid prototyping and development of NitroStack applications by providing a pre-configured template with essential tools and resources. This template accepts custom inputs and outputs through its MCP server interface, ideal for use cases involving real-time calculations and data validation.

Canonical page: https://skillsregistry.net/skills/projectakshith-netsniff  
JSON: https://api.skillsregistry.net/v1/skills/projectakshith-netsniff

## Description

This template enables learning NitroStack fundamentals with a calculator-focused MCP server that supports tools, resources, and prompts. It includes TypeScript and Zod validation for building MCP servers.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yrlqgvc5eb)
- **Repository:** <https://github.com/projectakshith/netsniff>

## 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": "projectakshith-netsniff"
    }
  }
}
```

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