personalized-high-achiever-study-plan

---

name: personalized-high-achiever-study-plan description: This prompt asks the AI to act as an academic coach that tailors proven high-achiever study habits to the user’s specific goal, challenges, available time, and learning style, producing a structured plan that includes a timed daily schedule, specific evidence-based techniques, mindset reframes matched to the user’s obstacles, recommended resources, and a clear 7-day day-by-day action plan the user can follow immediately. 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 asks the AI to act as an academic coach that tailors proven high-achiever study habits to the user’s specific goal, challenges, available time, and learning style, producing a structured plan that includes a timed daily schedule, specific evidence-based techniques, mindset reframes matched to the user’s obstacles, recommended resources, and a clear 7-day day-by-day action plan the user can follow immediately.

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
insert_your_style	Required		(none)
insert_your_goal_here	Optional		master calculus
insert_challenges_here	Optional		no system
insert_daily_or_weekly_time	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:

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:
  • insert_your_style
  • insert_daily_or_weekly_time
• Optional text inputs (use defaults if not provided by the human):
  • insert_your_goal_here (default: master calculus)
  • insert_challenges_here (default: no system)
• Optional: model and options.
  • Present the human with the default model gpt-5-mini and its available options. Look up gpt-5-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-5-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 personalized-high-achiever-study-plan).

Command form:

betterprompt generate personalized-high-achiever-study-plan \
  [--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-5-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 personalized-high-achiever-study-plan \
  --input insert_your_style=<value> \
  --input 'insert_your_goal_here=master calculus' \
  --input 'insert_challenges_here=no system' \
  --input insert_daily_or_weekly_time=<value> \
  --model gpt-5-mini \
  --options '{}'