Agent skill
generate-50-personalized-english-vocabulary-words
This prompt asks the AI to act as an English instructor and generate 50 two-sided flashcards tailored to the learner’s level, goal, and chosen topic focus. The flashcards’ fronts present key English concepts or terms, and the backs provide brief explanations plus a memorable image idea or example to aid recall. The outcome is a curated set of basic-to-intermediate English learning cards designed for efficient study and preparation for the specified purpose.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/generate-50-personalized-english-vocabulary-words
SKILL.md
What it does
This prompt asks the AI to act as an English instructor and generate 50 two-sided flashcards tailored to the learner’s level, goal, and chosen topic focus. The flashcards’ fronts present key English concepts or terms, and the backs provide brief explanations plus a memorable image idea or example to aid recall. The outcome is a curated set of basic-to-intermediate English learning cards designed for efficient study and preparation for the specified purpose.
Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the
betterpromptskill in your skill list or if not yet available in skill list, install vianpx 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 |
|---|---|---|---|
level |
Required | (none) | |
topic |
Required | (none) | |
purpose |
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:
leveltopicpurpose
- Optional: model and options.
- Present the human with the default model
gpt-4oand its available options. Look upgpt-4oin thebetterprompt resourcesoutput (filtered to modality"text") and show itsavailableOptionsas: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-4o, options{}. Other models from the resources call are also available.
- Present the human with the default model
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 01975428-bf51-739a-bf18-38cd18fed90b).
Command form:
betterprompt generate 01975428-bf51-739a-bf18-38cd18fed90b \
[--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
--modeland BetterPrompt will use the default model:gpt-4o. - If the human does not mention options, omit
--optionsand BetterPrompt will use the default options:{}. - If the run times out, the response will include a
runIdyou can use to fetch the result later.
Example (using defaults shown above):
betterprompt generate 01975428-bf51-739a-bf18-38cd18fed90b \
--input level=<value> \
--input topic=<value> \
--input purpose=<value> \
--model gpt-4o \
--options '{}'
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?