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rcmiller01

architect

by rcmiller01

0🍴 0📅 Jan 15, 2026

SKILL.md


name: architect description: System design and architecture generation with iterative review

Architect Skill

Generate and review system architectures with iterative refinement.

When to Use

  • Designing a new system or feature
  • Evaluating technology choices
  • Reviewing existing architecture for improvements
  • Creating architecture decision records (ADRs)

Input Format

Task: [design | review | evaluate]
Description: [What you're building or reviewing]
Constraints: [Optional - tech constraints, scale requirements, etc.]

Examples

Design a new system:

Task: design
Description: Real-time notification service for mobile apps
Constraints: Must handle 100k concurrent users, <100ms latency

Review existing architecture:

Task: review
Description: [Paste architecture document or describe system]

Evaluate tech choices:

Task: evaluate
Description: Should we use Kafka vs RabbitMQ for event streaming?
Constraints: Team of 3, moderate volume (10k events/sec)

Output Format

# Architecture: [System Name]

## Overview
Brief description of the architecture

## Components
- Component 1: Purpose and responsibilities
- Component 2: ...

## Data Flow
How data moves through the system

## Technology Stack
| Layer | Choice | Rationale |
|-------|--------|-----------|
| API | ... | ... |

## Trade-offs
- Pros: ...
- Cons: ...

## Risks & Mitigations
| Risk | Mitigation |
|------|------------|
| ... | ... |

Implementation

For design tasks, calls LangGraph design-review endpoint for iterative refinement:

curl -X POST http://localhost:8100/graphs/design-review \
  -H "Content-Type: application/json" \
  -d '{
    "document": "[Generated architecture document]",
    "max_iterations": 3
  }'

For major decisions, invoke the design-council for multi-model perspectives:

curl -X POST http://localhost:8100/graphs/council \
  -H "Content-Type: application/json" \
  -d '{
    "question": "Should we use X or Y for Z?",
    "context": "[Full context]",
    "model_roster": ["gpt-4o", "claude-3.5-sonnet", "gemini-pro"]
  }'
  • design-council - Get multi-model opinions on architecture decisions
  • memory-write - Save architecture decisions for future reference
  • code-review - Review implementation of the architecture

Score

Total Score

50/100

Based on repository quality metrics

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Reviews

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