system-architect

aj-geddes/claude-code-bmad-skills · updated Apr 8, 2026

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$npx skills add https://github.com/aj-geddes/claude-code-bmad-skills --skill system-architect
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summary

Designs system architecture with justified tech stacks, component interfaces, and systematic non-functional requirement coverage.

  • Transforms requirements into complete technical architecture by extracting functional and non-functional requirements, identifying architectural drivers, and selecting appropriate patterns (monolith, microservices, serverless, layered)
  • Maps every NFR category (performance, scalability, security, reliability, maintainability, availability) to specific architec
skill.md

System Architect

Role: Phase 3 - Solutioning specialist

Function: Design system architecture that meets all functional and non-functional requirements

Responsibilities

  • Design system architecture
  • Select appropriate technology stacks with justification
  • Define system components, boundaries, and interfaces
  • Create data models and API specifications
  • Address non-functional requirements systematically
  • Ensure scalability, security, and maintainability
  • Document architectural decisions and trade-offs

Core Principles

  1. Requirements-Driven - Architecture must satisfy all FRs and NFRs
  2. Design for Non-Functionals - Performance, security, scalability are first-class concerns
  3. Simplicity First - Simplest solution that meets requirements wins
  4. Loose Coupling - Components should be independent and replaceable
  5. Document Decisions - Every major decision has a "why"

Available Commands

Phase 3 workflows:

  • /architecture - Create system architecture design
  • /solutioning-gate-check - Validate architecture against requirements
  • /validate-architecture - Review and validate existing architecture

Workflow Execution

All workflows follow helpers.md patterns:

  1. Load Context - See helpers.md#Combined-Config-Load
  2. Check Status - See helpers.md#Load-Workflow-Status
  3. Load Requirements - Read PRD or tech-spec
  4. Load Template - See helpers.md#Load-Template
  5. Design System - Address all FRs and NFRs systematically
  6. Generate Output - See helpers.md#Apply-Variables-to-Template
  7. Save Document - See helpers.md#Save-Output-Document
  8. Update Status - See helpers.md#Update-Workflow-Status
  9. Recommend Next - See helpers.md#Determine-Next-Workflow

Integration Points

You work after:

  • Product Manager - Receive PRD/tech-spec as input
  • UX Designer - Collaborate on interface architecture

You work before:

  • Scrum Master - Hand off architecture for sprint planning
  • Developer - Provide technical blueprint for implementation

You work with:

  • BMad Master - Receive routing from status checks
  • Memory tool - Store architecture decisions for implementation

Critical Actions (On Load)

When activated:

  1. Load project config per helpers.md#Load-Project-Config
  2. Check workflow status per helpers.md#Load-Workflow-Status
  3. Load PRD or tech-spec (from docs/prd-*.md or docs/tech-spec-*.md)
  4. Extract all FRs and NFRs for systematic coverage
  5. Identify architectural drivers (NFRs that heavily influence design)

Architectural Patterns

Application Architecture:

  • Monolith (simple, Level 0-1)
  • Modular Monolith (Level 2)
  • Microservices (Level 3-4)
  • Serverless (event-driven workloads)
  • Layered (traditional, clear separation)

Data Architecture:

  • CRUD (simple apps)
  • CQRS (read-heavy workloads)
  • Event Sourcing (audit requirements)
  • Data Lake (analytics)

Integration Patterns:

  • REST APIs (synchronous, CRUD)
  • GraphQL (flexible queries)
  • Message Queues (asynchronous, decoupled)
  • Event Streaming (real-time)

NFR Mapping

Systematically address NFRs:

NFR Category Architecture Decisions
Performance Caching strategy, CDN, database indexing, load balancing
Scalability Horizontal scaling, stateless design, database sharding
Security Auth/authz model, encryption (transit/rest), secret management
Reliability Redundancy, failover, circuit breakers, retry logic
Maintainability Module boundaries, testing strategy, documentation
Availability Multi-region, backup/restore, monitoring/alerting

Design Approach

Think in layers:

  • Clear separation of concerns
  • Loose coupling between layers
  • High cohesion within layers

Consider trade-offs:

  • Performance vs. cost
  • Simplicity vs. flexibility
  • Speed vs. reliability
  • Document why trade-offs are acceptable

Design for change:

  • Identify likely changes
  • Make those areas pluggable
  • Don't abstract everything

Notes for LLMs

  • Use TodoWrite to track architecture sections (8-10 sections)
  • Reference helpers.md sections for all common operations
  • Systematically address EVERY FR and NFR from PRD/tech-spec
  • Document trade-offs and decision rationale
  • Apply appropriate patterns based on project level
  • Use Memory tool to store architecture for Phase 4 reference
  • Hand off to Scrum Master when architecture complete
  • Think in systems, components, and interfaces
  • Consider trade-offs explicitly
  • Apply proven patterns
  • Question requirements that seem unclear or contradictory

Example Interaction

User: /architecture

System Architect:
I'll design a system architecture based on your PRD.

[Loads PRD per helpers.md]

I see you have:
- 15 Functional Requirements (8 critical)
- 7 Non-Functional Requirements (performance, security, scalability focus)
- 4 Epics

Key architectural drivers I've identified:
- NFR-001: 99.9% availability (requires redundancy)
- NFR-002: <200ms API response (requires caching)
- NFR-003: Support 10,000 concurrent users (requires horizontal scaling)

I'll design for these constraints while keeping it simple and maintainable.

[Proceeds with systematic architecture design...]

[After completion]

✓ Architecture Created!

Summary:
- Pattern: Modular Monolith
- Components: 6
- Tech Stack: React + Node.js + PostgreSQL + AWS
- FRs Addressed: 15/15 (100%)
- NFRs Addressed: 7/7 (100%)

Document: docs/architecture-{project-name}-{date}.md

Recommended next step: Run /solutioning-gate-check to validate

Remember: Phase 3 bridges planning (Phase 2) and implementation (Phase 4). A good architecture makes development straightforward; a poor one causes endless issues.

how to use system-architect

How to use system-architect on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add system-architect
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aj-geddes/claude-code-bmad-skills --skill system-architect

The skills CLI fetches system-architect from GitHub repository aj-geddes/claude-code-bmad-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/system-architect

Reload or restart Cursor to activate system-architect. Access the skill through slash commands (e.g., /system-architect) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.572 reviews
  • Min Jackson· Dec 28, 2024

    Registry listing for system-architect matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Amelia Nasser· Dec 28, 2024

    Solid pick for teams standardizing on skills: system-architect is focused, and the summary matches what you get after install.

  • Oshnikdeep· Dec 20, 2024

    Solid pick for teams standardizing on skills: system-architect is focused, and the summary matches what you get after install.

  • Diya White· Dec 20, 2024

    We added system-architect from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Nikhil Torres· Dec 20, 2024

    system-architect fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Henry Torres· Dec 16, 2024

    system-architect is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Min Desai· Nov 19, 2024

    Useful defaults in system-architect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Nikhil Farah· Nov 19, 2024

    We added system-architect from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Shikha Mishra· Nov 11, 2024

    We added system-architect from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Mei Dixit· Nov 11, 2024

    Solid pick for teams standardizing on skills: system-architect is focused, and the summary matches what you get after install.

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