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    architecture decider

    by Jiangdongbo

    1

    Turns vague requirements into three opinionated, costed architecture plans with an executive business summary.

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    See it in action

    You say

    I need to build a real-time inventory tracking system for a global retail chain. 10,000 stores, peak updates every second, 5 years of history.

    Your agent does

    Requirement received. Running autonomous architecture analysis...

    [Detailed analysis follows with three plans: Plan A (Serverless/Event-Bridge), Plan B (K8s/Managed DB/Redis), Plan C (Global Microservices/CockroachDB/Kafka). Includes full cost breakdown and Executive Brief.]

    What you get

    Generate three tier-based architecture plans for any product requirement.Calculate estimated monthly cloud spend and development effort.Create a business-ready executive summary without technical jargon.Define a clear scaling roadmap from MVP to high-availability production.

    About this skill

    The problem

    Vague product requirements often stall development when architects spend too much time asking stakeholders for technical preferences they don't have. Developers need to move from a business idea to a concrete, costed infrastructure plan without getting trapped in endless "PostgreSQL or MySQL?" debates.

    What it does

    • Decomposes high-level business needs into quantifiable technical targets like QPS, data volume, and SLA requirements.
    • Generates three distinct architectural blueprints: Fast Delivery (MVP), Balanced (Growth), and High-Performance (Enterprise).
    • Produces a detailed comparison table covering tech stacks, person-months of effort, and granular infrastructure costs.
    • Delivers an opinionated final recommendation with a specific scaling roadmap and migration triggers.
    • Summarizes the entire technical plan into a business-language Executive Brief for non-technical stakeholders.

    Why this beats prompting it yourself

    Generic prompts result in generic advice or annoying follow-up questions. This skill forces autonomous decision-making and provides actual dollar-amount cost estimates based on 2026 cloud pricing baselines. It handles the tedious translation between deep technical specs and business-ready executive summaries automatically.

    Use cases

    • Architecting a cross-border payment reconciliation system with strict data retention.
    • Designing a real-time analytics dashboard for high-concurrency event tracking.
    • Planning a backend migration from a serverless MVP to a balanced container-based growth stack.
    • Drafting a technical proposal for investors that includes both deep-dive specs and a 3-minute business summary.

    Known limitations

    Requires the presence of a 2026 pricing reference file for accurate cost estimation. It is not intended for simple library usage questions or debugging existing code.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    J
    Jiangdongbo

    26+ total installs · 28 skills on Agensi

    Frequently Asked Questions

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