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architecture decider
by Jiangdongbo
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
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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26+ total installs · 28 skills on Agensi
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