Agent skill

smart-study-methods-for-every-subject

This prompt asks the AI to generate tailored, subject-by-subject study recommendations based on the user’s subjects, perceived difficulty for each, and learning style, delivering for every subject a specific best-fit study technique, an ideal study schedule (frequency and session length), and one high-achiever tip, written in a friendly, direct, no-fluff format.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/smart-study-methods-for-every-subject

SKILL.md

What it does

This prompt asks the AI to generate tailored, subject-by-subject study recommendations based on the user’s subjects, perceived difficulty for each, and learning style, delivering for every subject a specific best-fit study technique, an ideal study schedule (frequency and session length), and one high-achiever tip, written in a friendly, direct, no-fluff format.

Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the betterprompt skill in your skill list or if not yet available in skill list, install via npx skills add https://github.com/BetterPromptme/betterprompt/skills --skill betterprompt

Inputs

textInputs

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

Variable key Required? Description Defaults
My_learning_style Required (none)
Subjects_studying Required (none)
Difficulty_level_of_each Required (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:

bash
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:

bash
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:
    • My_learning_style
    • Subjects_studying
    • Difficulty_level_of_each
  • 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 skillVersionId as the positional argument (for this skill version, use 01987434-b45b-7c3b-a6c4-31f7a42ca1c3).

Command form:

bash
betterprompt generate 01987434-b45b-7c3b-a6c4-31f7a42ca1c3 \
  [--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):

bash
betterprompt generate 01987434-b45b-7c3b-a6c4-31f7a42ca1c3 \
  --input My_learning_style=<value> \
  --input Subjects_studying=<value> \
  --input Difficulty_level_of_each=<value> \
  --model gpt-4.1-mini \
  --options '{}'

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