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
direct-flow-language-learning-planThis prompt instructs the AI to create a personalized, practical language-learning plan using the learner’s target language, current level, goals, available daily time, learning style, and timeframe. The AI outputs a structured daily and weekly schedule allocating time across vocabulary, listening, speaking, reading, and writing, plus level-appropriate vide…
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This prompt instructs the AI to create a personalized, practical language-learning plan using the learner’s target language, current level, goals, available daily time, learning style, and timeframe. The AI outputs a structured daily and weekly schedule allocating time across vocabulary, listening, speaking, reading, and writing, plus level-appropriate video recommendations with progressive difficulty and specific video-based exercises (shadowing, dictation, oral/written summaries). It also includes periodic checkpoints with video-based progress measures (e.g., reducing subtitles, real-time summarizing) and finishes with motivation strategies to help the learner stay consistent.
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 |
|---|---|---|---|
Timeframe | Required | (none) | |
Current_Level | Optional | Beginner | |
Learning_Goal | Optional | Conversational fluency | |
Learning_Style | Optional | Visual | |
Target_Language | Optional | English | |
Available_Time_Per_Day | 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:
TimeframeAvailable_Time_Per_DayCurrent_Level (default: Beginner)Learning_Goal (default: Conversational fluency )Learning_Style (default: Visual )Target_Language (default: English)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: {}.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 direct-flow-language-learning-plan).
Command form:
betterprompt generate direct-flow-language-learning-plan \
[--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 direct-flow-language-learning-plan \
--input Timeframe=<value> \
--input Current_Level=Beginner \
--input 'Learning_Goal=Conversational fluency ' \
--input 'Learning_Style=Visual ' \
--input Target_Language=English \
--input Available_Time_Per_Day=<value> \
--model gpt-4.1-mini \
--options '{}'