predicted-exam-questions-and-model-answers-for-any-subjects

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name: predicted-exam-questions-and-model-answers-for-any-subjects description: This prompt instructs the AI to behave like a senior examiner for a specified topic, forecasting the most probable exam questions and providing full-mark model answers. Each response must explicitly link to the relevant syllabus knowledge area, justify the reasoning behind the solution, and highlight common mistakes that cost marks, producing concise, examiner-focused content aimed at maximizing exam credit. 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 behave like a senior examiner for a specified topic, forecasting the most probable exam questions and providing full-mark model answers. Each response must explicitly link to the relevant syllabus knowledge area, justify the reasoning behind the solution, and highlight common mistakes that cost marks, producing concise, examiner-focused content aimed at maximizing exam credit.

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 key	Required?	Description	Defaults
Your_topic_or_lesson	Required	Insert chapters or lessons in subjects you want to revise	(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:
  • Your_topic_or_lesson
• Optional: model and options.
  • Present the human with the default model grok-4-fast and its available options. Look up grok-4-fast 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: {"reasoningEffort":"low"}.
  • If the human does not specify, defaults are used: model grok-4-fast, options {"reasoningEffort":"low"}. 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 predicted-exam-questions-and-model-answers-for-any-subjects).

Command form:

betterprompt generate predicted-exam-questions-and-model-answers-for-any-subjects \
  [--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: grok-4-fast.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"reasoningEffort":"low"}.
• 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 predicted-exam-questions-and-model-answers-for-any-subjects \
  --input Your_topic_or_lesson=<value> \
  --model grok-4-fast \
  --options '{"reasoningEffort":"low"}'