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。
clear-technical-explainer-with-use-case【设计与创意】This prompt instructs the AI to act as a technical explainer who adapts an explanation of a specified technical topic to a defined audience and knowledge level. It requires the response to start by stating scope and assumptions, give a high-level overview, then break the concept into 3–5 clear steps using plain language, brief definitions of necessar…
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This prompt instructs the AI to act as a technical explainer who adapts an explanation of a specified technical topic to a defined audience and knowledge level. It requires the response to start by stating scope and assumptions, give a high-level overview, then break the concept into 3–5 clear steps using plain language, brief definitions of necessary jargon, and helpful analogies or simple visuals when appropriate. It also asks the AI to note limitations and common pitfalls, avoid speculation, and finish with a practical real-world example based on the provided use case, while requesting more details if key inputs are missing.
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 |
|---|---|---|---|
audience_type | Required | (none) | |
knowledge_level | Required | (none) | |
technical_topic | Required | (none) | |
example_or_use_case | 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:
audience_typeknowledge_leveltechnical_topicexample_or_use_casegpt-5 and its available options. Look up gpt-5 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-5, 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 clear-technical-explainer-with-use-case).
Command form:
betterprompt generate clear-technical-explainer-with-use-case \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: gpt-5.--options and BetterPrompt will use the default options: {}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate clear-technical-explainer-with-use-case \
--input audience_type=<value> \
--input knowledge_level=<value> \
--input technical_topic=<value> \
--input example_or_use_case=<value> \
--model gpt-5 \
--options '{}'