# architect-to-product

> architect-to-product — bernhardjackiewicz-architect-to-product. Use this tool when you need to streamline and secure your development workflow, leveraging automated testing, security scanning, and deployment to ensure high-quality and reliable products. It solves problems related to code quality, security, and efficiency, providing a seamless interface for Git-based projects. By using architect-to-product, developers can input their code and receive automated outputs for testing, scanning, and deployment, ideal for projects requiring rigorous QA and security protocols.

Canonical page: https://skillsregistry.net/skills/bernhardjackiewicz-architect-to-product  
JSON: https://api.skillsregistry.net/v1/skills/bernhardjackiewicz-architect-to-product

## Description

Vibe code fast. Ship like an engineer.  AI engineering framework packaged as an MCP server that enforces TDD, security scanning, pentesting, secret management, QA audits, and deployment to a securely configured VPS — automated with up to 100× fewer exploration tokens.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-23

## Source

- **Source listing:** [GitHub](https://github.com/BernhardJackiewicz/architect-to-product)

## 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": "bernhardjackiewicz-architect-to-product"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bernhardjackiewicz-architect-to-product` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bernhardjackiewicz-architect-to-product/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