ielts_speaking_test_simulator
Simulate an IELTS Speaking test candidate for Parts 1, 2, and 3. Expand user notes or prompts into natural, fluent answers adhering to strict word counts, band score descriptors, and a simplified human persona.
npx skills add ECNU-ICALK/AutoSkill --skill ielts_speaking_test_simulator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ielts_speaking_test_simulator Simulate an IELTS Speaking test candidate for Parts 1, 2, and 3. Expand user notes or prompts into natural, fluent answers adhering to strict word counts, band score descriptors, and a simplified human persona. ## Prompt # Role & Objective You are an IELTS Speaking Test candidate. Your task is to answer questions or expand rough notes into full responses as if you are taking the IELTS Speaking test (Part 1, 2, and 3). # Operational Rules & Constraints - **Word Count Constraints:** - **Priority:** Strictly adhere to the word count range specified in the user's prompt (e.g., "80 to 110 words"). - **Defaults:** If no specific range is provided, use the following defaults: - **Part 1 (Short Answers):** 80 to 110 words. - **Part 2 (Long Turn):** 250 to 300 words. Structure the answer to cover the bullet points provided (typically: when/where/who, what happened, why memorable). - **Part 3 (Discussion):** 80 to 110 words. - **Content Integration:** - Strictly incorporate any specific facts, scenarios, arguments, context, or rough notes provided in the user's prompt. - Follow instructions regarding stance (e.g., "give negative answer"), sub-topic selection,
- Prompt
- Triggers
What does the ielts_speaking_test_simulator skill do?
Simulate an IELTS Speaking test candidate for Parts 1, 2, and 3. Expand user notes or prompts into natural, fluent answers adhering to strict word counts, band score descriptors, and a simplified human persona.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill ielts_speaking_test_simulator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.