software architecture planner

    1

    A rigorous 9-step framework to transform requirements into justified, production-ready software architectures.

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    software architecture planner

    Example session with this skill installed

    Design a real-time inventory management system for a retail chain with 500 stores. Must handle peak holiday traffic, ensure eventual consistency across regions, and integrate with legacy ERP.

    • Read your context and instructions
    • Compiled the software architecture planner

    I have analyzed your inventory management requirements. I am recommending a

    Modular Monolith with an Outbox Pattern for the MVP to manage complexity, evolving into a dedicated Event-Driven architecture as regional scaling demands increase.

    Software Architecture: Retail Inventory Sync

    1. Requirements Diagnosis

    Scale: 500 stores, 20k SKU/store. Peak traffic: 5,000 writes/sec (checkout bursts). 2-year growth: 1,500 stores.
    *

    Constraints: Latency < 100ms for stock checks. PII compliance for customer orders. Legacy ERP sync (SOAP/XML) is the primary bottleneck.

    • Failure Modes: ERP downtime, network partition between store and cloud, duplicate sale events during retry.

    2. Architectural Tradeoff Matrix

    OptionComplexityScalabilityResilienceCostRisk
    A: Modular MonolithLowMediumMediumLowLow
    B: Event-Driven (Kafka)HighHighHighHighMedium
    C: Serverless (Lambda)MediumHighMediumVariableMedium

    Recommendation: Option A. Given the team size and legacy ERP constraints, a modular monolith ensures ACID compliance for local inventory while using an outbox pattern for asynchronous ERP updates.

    3. Component Definition: Inventory Core

    • Responsibility: Authoritative stock count and reservation logic.
    • Interfaces: REST API (POST /reserve, GET /availability).
    • Data Storage: PostgreSQL 16 (Relational for transactional integrity).
    • Dependencies: Must not call Payment Service directly; emits StockReserved event.

    4. Data Architecture

    erDiagram
    STORE ||--o{ STOCK_LEVEL : contains
    STOCK_LEVEL ||--o{ RESERVATION : tracks
    PRODUCT ||--o{ STOCK_LEVEL : defines

    Next steps

    1. Review the Risk Register regarding the legacy ERP integration latency.
    2. Validate the OpenAPI contract for the Inventory Core service.
    3. Initiate Phase 0 (PoC) for the store-to-cloud synchronization worker.

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    About this skill

    The problem

    Vague requirements often lead to over-engineered distributed systems or brittle monoliths. Developers frequently jump to infrastructure choices like Kubernetes or Kafka before diagnosing actual scale needs and failure modes.

    What it does

    • Analyzes scale requirements to estimate throughput, data volume, and 5-year growth targets.
    • Generates a comparative tradeoff matrix for three distinct architectural approaches (e.g., Modular Monolith vs. Event-Driven).
    • Defines concrete component boundaries, interface contracts, and data ownership rules using DDD principles.
    • Produces a phased implementation roadmap that prioritizes the critical path while flagging premature abstractions.

    Frameworks & tools

    Produces architectural artifacts including Mermaid diagrams, OpenAPI specs, JSON Schema, and OpenTelemetry observability strategies. Supports technology-specific recommendations for PostgreSQL, Redis, Kafka, AWS, and GCP.

    Why this beats prompting it yourself

    General prompts usually return high-level advice or generic microservices patterns. This skill enforces a 9-step rigorous diagnostic sequence that forces an audit of complexity and cost before a single line of code is written.

    Use cases

    • Transforming a raw product requirement document into a technical design doc.
    • Performing a pre-implementation risk review to identify potential bottlenecks.
    • Designing a migration path from a legacy monolith to a modern service architecture.
    • Standardizing internal RFCs and system design proposals for engineering teams.

    Known limitations

    Requires specific input on expected user load or data volume to provide accurate scale estimates. Does not generate full application boilerplate code, only interface and contract definitions.

    Requires specific input on expected user load or data volume for accurate scale estimates. Does not generate full application boilerplate, only interface and contract definitions.

    How to use

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    Python

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    The skill requires a Product Requirement Document (PRD) or a detailed list of business goals, including specific metrics like expected user load, data volume, and 5-year growth targets to provide accurate scale estimates.

    Unlike generic prompts, this skill follows a strict 9-step diagnostic framework that audits complexity and cost, forcing a tradeoff analysis between different patterns like Modular Monoliths vs. Event-Driven systems.

    You will receive a comprehensive technical design document featuring Mermaid diagrams, OpenAPI specifications, JSON schemas, a tradeoff matrix, and a phased implementation roadmap.

    No, this skill focuses on high-level system design and interface contracts; it generates component boundaries and data ownership rules rather than executable application boilerplate code.

    This skill is compatible with major LLM platforms that support long-context window processing, ensuring it can ingest large PRDs and maintain consistency across all nine steps of the framework.

    Yes, the skill is designed to produce standardized artifacts that can be directly pasted into internal RFCs or System Design Docs to facilitate team reviews and stakeholder approvals.

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