executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
complete-scholarship-essay-generator-tailored-by-topic-purpose-and-english-levelThis prompt instructs the AI to produce a full, polished scholarship application essay tailored to a specific topic, university, purpose, language proficiency level, and word count. It incorporates optional personal anecdotes, achievements, goals, and the university’s mission to craft a sincere first-person narrative with a clear introduction, body, and con…
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This prompt instructs the AI to produce a full, polished scholarship application essay tailored to a specific topic, university, purpose, language proficiency level, and word count. It incorporates optional personal anecdotes, achievements, goals, and the university’s mission to craft a sincere first-person narrative with a clear introduction, body, and conclusion. The outcome is a compelling, well-structured essay that demonstrates motivation, fit with the institution’s values, and the impact of the scholarship on the applicant’s future, while staying close to the requested length and appropriate to the stated English level.
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 |
|---|---|---|---|
CEFR_Level | Required | (none) | |
Word_Count | Required | (none) | |
Essay_Topic | Required | (none) | |
Future_Goals | Required | (none) | |
University_Name | Required | (none) | |
Purpose_of_the_essay | Required | (none) | |
Key_Achievements_Involvements | Required | (none) | |
University’s_Values_or_Mission | Required | (none) | |
A_specific_personal_story_or_background_experience_to_include | 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:
CEFR_LevelWord_CountEssay_TopicFuture_GoalsUniversity_NamePurpose_of_the_essayKey_Achievements_InvolvementsUniversity’s_Values_or_MissionA_specific_personal_story_or_background_experience_to_includegpt-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 complete-scholarship-essay-generator-tailored-by-topic-purpose-and-english-level).
Command form:
betterprompt generate complete-scholarship-essay-generator-tailored-by-topic-purpose-and-english-level \
[--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 complete-scholarship-essay-generator-tailored-by-topic-purpose-and-english-level \
--input CEFR_Level=<value> \
--input Word_Count=<value> \
--input Essay_Topic=<value> \
--input Future_Goals=<value> \
--input University_Name=<value> \
--input Purpose_of_the_essay=<value> \
--input Key_Achievements_Involvements=<value> \
--input University’s_Values_or_Mission=<value> \
--input A_specific_personal_story_or_background_experience_to_include=<value> \
--model gpt-4.1-mini \
--options '{}'