Vengineer

Orchestrate feature ideas into design sketches, specs, implementation plans, and ADRs.

Updated Jan 8, 2026
One-click install
npx skills add https://github.com/VitaDynamics/vita-cc-market --skill vengineer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Vengineer
Source: https://github.com/VitaDynamics/vita-cc-market/tree/main/plugins/Vengineer/skills
Command: npx skills add https://github.com/VitaDynamics/vita-cc-market --skill vengineer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the entire software development planning process, from initial idea to architectural decisions, eliminating manual steps and ensuring best practices are followed.

Core Features & Use Cases

  • End-to-End Planning: Orchestrates a full pipeline: Sketch → Spec → Plan → ADR.
  • Automated Research: Leverages specialized agents for deep dives into architecture, performance, security, and more.
  • Use Case: You have a new feature idea. Use this Skill to brainstorm designs, generate a formal spec, create an implementation plan with parallelization strategy, and document key architectural decisions.

Quick Start

Use Vengineer to plan the implementation of a new user authentication feature.

Frequently Asked Questions about Vengineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an implementation plan and architecture decisions for a new feature idea?

To generate an implementation plan and architectural decision records, input your feature idea into an AI-assisted development pipeline. This orchestrates sketching, specification generation, detailed planning with parallelization strategies, and automated research across code quality, performance, and security.

What is the best way to automate software specification and architectural decision recording?

Automating software specification and architectural decision recording involves orchestrating a pipeline from design sketches to formal specs and ADRs. Specialized AI agents analyze architecture, performance, and security to ensure best practices are followed without manual intervention.

Can I use AI agents to research code quality and security before writing an implementation plan?

Yes, you can use specialized AI agents to research code quality and security before writing an implementation plan. The planning pipeline integrates automated research agents that perform deep dives into performance, security, and domain-specific best practices.

Does automated development workflow planning support parallelization strategies for complex features?

Automated development workflow planning supports parallelization strategies for complex features. During the detailed implementation planning stage, the pipeline generates actionable steps that include strategies for parallel task execution.

What are the limitations of using an AI-assisted planning pipeline for software architecture?

The limitations of using an AI-assisted planning pipeline for software architecture include its exclusive focus on the planning and specification phases. It orchestrates design sketches, specs, plans, and ADRs, but does not execute the actual code writing or deployment.