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system-architecture-review

system-architecture-review

This prompt instructs the AI to act as an experienced software architect and deliver a structured, comprehensive review of a proposed system design, evaluating it across scalability, reliability, security, and cost while considering growth, edge cases, and failure scenarios. It uses provided business context, scale, tech stack, constraints, and requirements…

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Documentation de la Skill

GitHub

name: system-architecture-review description: This prompt instructs the AI to act as an experienced software architect and deliver a structured, comprehensive review of a proposed system design, evaluating it across scalability, reliability, security, and cost while considering growth, edge cases, and failure scenarios. It uses provided business context, scale, tech stack, constraints, and requirements to produce an evidence-based assessment with quantitative ratings, pattern analysis, identified bottlenecks and risks, and a phased, actionable roadmap of improvements aligned to industry best practices. compatibility: Requires betterprompt >= 0.1.3 metadata: openclaw: homepage: https://github.com/BetterPromptme/skills emoji: 🧩 requires: anyBins: - betterprompt - bp os: - linux - darwin install: - id: node kind: node package: betterprompt bins: [betterprompt, bp] label: Install BetterPrompt CLI (node)

What it does

This prompt instructs the AI to act as an experienced software architect and deliver a structured, comprehensive review of a proposed system design, evaluating it across scalability, reliability, security, and cost while considering growth, edge cases, and failure scenarios. It uses provided business context, scale, tech stack, constraints, and requirements to produce an evidence-based assessment with quantitative ratings, pattern analysis, identified bottlenecks and risks, and a phased, actionable roadmap of improvements aligned to industry best practices.

For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Variable keyRequired?DescriptionDefaults
tech_stackRequired(none)
user_scaleRequired(none)
constraintsRequired(none)
business_descriptionRequired(none)
security_requirementsRequired(none)
proposed_system_designRequired(none)
availability_requirementsRequired(none)

Models and options

This skill's modality is: text.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "text".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "text" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

  • Required text inputs:
    • tech_stack
    • user_scale
    • constraints
    • business_description
    • security_requirements
    • proposed_system_design
    • availability_requirements
  • Optional: model and options.
    • Present the human with the default model gpt-4.1-mini and its available options. Look up gpt-4.1-mini in the betterprompt resources output (filtered to modality "text") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {}.
    • If the human does not specify, defaults are used: model gpt-4.1-mini, options {}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use system-architecture-review).

Command form:

betterprompt generate system-architecture-review \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

  • Pass each text input as a separate --input <key>=<value> flag.
  • If the human does not mention a model, omit --model and BetterPrompt will use the default model: gpt-4.1-mini.
  • If the human does not mention options, omit --options and BetterPrompt will use the default options: {}.
  • If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate system-architecture-review \
  --input tech_stack=<value> \
  --input user_scale=<value> \
  --input constraints=<value> \
  --input business_description=<value> \
  --input security_requirements=<value> \
  --input proposed_system_design=<value> \
  --input availability_requirements=<value> \
  --model gpt-4.1-mini \
  --options '{}'
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