Architecture Design Expert
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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.
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