算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
system-architecture-review【设计与创意】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 requi…
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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.
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
tech_stack | Required | (none) | |
user_scale | Required | (none) | |
constraints | Required | (none) | |
business_description | Required | (none) | |
security_requirements | Required | (none) | |
proposed_system_design | Required | (none) | |
availability_requirements | Required | (none) |
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".
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:
tech_stackuser_scaleconstraintsbusiness_descriptionsecurity_requirementsproposed_system_designavailability_requirementsgpt-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: {}.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.
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:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: gpt-4.1-mini.--options and BetterPrompt will use the default options: {}.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 '{}'