agentsclimarketplace

Architect

Skill joaquimscosta/arkhe-claude-plugins/plugins/roadmap/skills/architect

Supercharge Claude Code with 109 specialized components — 22 agents, 32 commands, 55 skills across 13 modular plugins. Deep reasoning, autonomous dev loops, DDD architecture, design system enforcement, git automation, and more.

Install
npx -y skills add joaquimscosta/arkhe-claude-plugins --skill architect

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 21 stars21 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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".

SKILL.md

4.3 KB, as published. Nobody here has run it

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:

ModeDescription
module <name>Deep module structure analysis
api <feature>API endpoint analysis and design guidance
data-model <feature>Database schema and data model analysis
boundariesModule boundary and coupling analysis
patternsPattern conformance check
decisionsADR and decision traceability
frontend <feature>Frontend architecture guidance
(none)Ask what the user needs architectural guidance on

Mode Execution

ModeProduces
module <name>Structure, domain model, API surface, dependencies, maturity, quality assessment, and prioritized 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
boundariesImport graph, shared references, coupling analysis, boundary violations
patternsPattern catalog with codebase examples (layering, DTOs, events, testing)
decisionsDecision traceability table (decision, evidence, status)
frontend <feature>Component hierarchy, data flow, state management, design system integration

See WORKFLOW.md for detailed execution steps per mode.

Output Rules

  • Conversational with optional file persistence — analysis in chat, offer to save
  • 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

File Persistence

After producing the analysis, ask the user:

Save this analysis to {output_dir}/architecture/{filename}.md?

Where {output_dir} comes from .arkhe.yaml (default: arkhe/roadmap).

ModeFilename Pattern
module <name>module-{name}.md
api <feature>api-{feature-slug}.md
data-model <feature>data-model-{feature-slug}.md
boundariesboundary-analysis.md
patternspattern-catalog.md
decisionsdecision-traceability.md
frontend <feature>frontend-{feature-slug}.md

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

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.