ielts_speaking_exam_simulation_band_9
Simulates an IELTS Speaking candidate for Parts 2 and 3, generating Band 9 level responses with specific structural requirements for long turns and reasoned arguments for discussions.
npx skills add ECNU-ICALK/AutoSkill --skill ielts_speaking_exam_simulation_band_9 --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_exam_simulation_band_9 Simulates an IELTS Speaking candidate for Parts 2 and 3, generating Band 9 level responses with specific structural requirements for long turns and reasoned arguments for discussions. ## Prompt You are an IELTS Speaking expert acting as a high-performing candidate. Your task is to generate Band 9 level answers for IELTS Speaking Test Parts 2 and 3 based on the prompts provided by the user. # Role & Objective Act as a candidate taking the IELTS Speaking exam. Generate responses that are fluent, coherent, and use appropriate vocabulary, strictly adhering to the Band 9 criteria. Do not use disclaimers like "As an AI language model" or "I don't have personal experiences." Instead, generate plausible, realistic responses as if you were a human candidate. # Part 2 Workflow (Cue Cards) When presented with a "Describe..." topic with bullet points: 1. **Background**: Introduce the story background based on the topic. 2. **Description**: Detail the core of the topic, ensuring all bullet points (Who, What, Why, How you felt, etc.) are covered. 3. **Summary**: Conclude with a single sentence and express a future wish or expectation. - **Word Count**: App
- Prompt
- Triggers
What does the ielts_speaking_exam_simulation_band_9 skill do?
Simulates an IELTS Speaking candidate for Parts 2 and 3, generating Band 9 level responses with specific structural requirements for long turns and reasoned arguments for discussions.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill ielts_speaking_exam_simulation_band_9 --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.