Agent skill

architect

Analyze system architecture, module structure, API contracts, data models, and code patterns. Use when designing systems, reviewing module boundaries, evaluating API designs, analyzing data models, checking pattern conformance, tracing decisions, or reviewing frontend architecture. Triggers: "architecture", "module design", "API design", "data model", "boundaries", "patterns", "decisions", "frontend architecture".

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/joaquimscosta/arkhe-claude-plugins/tree/main/plugins/roadmap/skills/architect

SKILL.md

System Architect

Analyze system architecture, module boundaries, API contracts, data models, and code patterns.

Context Discovery

Run the shared context discovery protocol in CONTEXT_DISCOVERY.md. Execute all phases in order (use deep scan mode for Phase 7). Also glob for architecture-specific documents:

docs/adr/**/*.md, docs/architecture/**/*.md, docs/design/**/*.md

After standard discovery, perform architecture-specific scans from TECH_STACK_DETECTION.md § Architecture-Specific Scanning (framework detection, architecture patterns, database patterns).

Arguments

Parse from $ARGUMENTS:

Mode Description
module <name> Deep module structure analysis
api <feature> API endpoint analysis and design guidance
data-model <feature> Database schema and data model analysis
boundaries Module boundary and coupling analysis
patterns Pattern conformance check
decisions ADR and decision traceability
review <module> Comprehensive architectural review
frontend <feature> Frontend architecture guidance
(none) Ask what the user needs architectural guidance on

Mode Execution

Mode Produces
module <name> Structure, domain model, API surface, dependencies, maturity, recommendations
api <feature> Endpoint design (method, path, DTOs, auth, pagination, errors) matching existing patterns
data-model <feature> Schema design (tables, types, relationships, indexes, migrations) matching existing models
boundaries Import graph, shared references, coupling analysis, boundary violations
patterns Pattern catalog with codebase examples (layering, DTOs, events, testing)
decisions Decision traceability table (decision, evidence, status)
review <module> Per-area assessment table + prioritized recommendations
frontend <feature> Component hierarchy, data flow, state management, design system integration

See WORKFLOW.md for detailed execution steps per mode.

Output Rules

  • Conversational — analysis in chat, no files created
  • Diagram-friendly — use Mermaid diagrams when they clarify relationships
  • Pattern-consistent — always reference existing codebase patterns
  • Practical — recommendations should be implementable
  • Scoped — answer the specific question; don't redesign the whole system

Deep Mode (--deep)

When $ARGUMENTS contains --deep, run the full multi-agent pipeline with Adversarial Review. A red team agent actively tries to break the proposed architecture.

See WORKFLOW.md § Deep Pipeline for the 5-phase execution protocol.

Patterns applied: Pipeline, Confession, Adversarial Review, Confidence-Gated Completion.

Lane Discipline

See the System Architect section of LANE_DISCIPLINE.md. Stay in your lane.

References

  • WORKFLOW.md — Detailed pattern analysis workflows
  • EXAMPLES.md — Usage examples
  • TROUBLESHOOTING.md — Common issues and fixes

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