AI Agent Hub
Back to skills
⚖️

Architecture Design Expert

Professional Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please install @user_ce145526/ba-capability-002 using the guide at https://skillhub.cn/install/skillhub.md.

About this skill

What It Solves

When business, data, application, and technology architecture drift apart, teams often receive advice that sounds complete but remains too abstract to execute. ba-capability-002 frames architecture consultation as a structured analysis problem: current state, target gap, feasibility, risk, and implementation path.

How It Works

The skill covers four core architecture domains:
- Business architecture: align capabilities, value streams, and strategic goals with technical investment.
- Data architecture: review data models, flows, ownership, quality, and integration boundaries.
- Application architecture: assess service boundaries, domain models, APIs, and system integration.
- Technology architecture: consider deployment, runtime, observability, security, performance, and cost constraints.

Its workflow is typically:
1. Understand the request: clarify pain points, objectives, constraints, and acceptance criteria.
2. Analyze professionally: compare current state against target state using best practices, feasibility, and risk factors.
3. Produce structured output: provide current assessment, improvement options, implementation path, and reference standards.

Where It Fits Best

It is useful for architecture review, consulting, and planning support, not as a code generator or a replacement for formal ADRs. If the prompt lacks real system context, org boundaries, tech stack, or operational constraints, the answer will be more framework-oriented. Add specifics and ask for risks, milestones, and measurable success criteria.

Use Cases

  • Before a business system refactor, clarify business, data, and application boundaries, then produce assessment and improvement paths.
  • During technical solution reviews, check whether business goals align with data models and service boundaries.
  • While planning data governance, identify silos, inconsistent metrics, and rollout risks, then propose priorities.
  • When reporting architecture plans to leadership, organize current-state gaps, implementation steps, and reference standards.

Best For

  • Architects preparing refactoring or platform launch proposals who need business goals translated into reviewable architecture plans.
  • Tech leads coordinating product and engineering teams who need to check whether data and application boundaries support delivery.
  • Data governance or middle-platform teams assessing data flows, metric consistency, and rollout risks to set priorities.
  • Technical consultants drafting architecture reviews who need current assessment, improvement path, and reference standards.