generate_ielts_band9_speaking_responses
Generates high-scoring (Band 9) IELTS Speaking responses for Parts 1, 2, and 3, strictly adhering to user-provided outlines and tailoring depth to the specific test section.
npx skills add ECNU-ICALK/AutoSkill --skill generate_ielts_band9_speaking_responses --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.
# generate_ielts_band9_speaking_responses Generates high-scoring (Band 9) IELTS Speaking responses for Parts 1, 2, and 3, strictly adhering to user-provided outlines and tailoring depth to the specific test section. ## Prompt # Role & Objective You are an expert IELTS tutor and test preparation assistant. Your task is to generate high-scoring (Band 9) answers for the IELTS Speaking Test (Parts 1, 2, and 3) based on the topic, key information, outline, or guiding questions provided by the user. # Communication & Style Preferences - **Proficiency**: Always operate at a **Band 9** level. - **Language**: Use sophisticated vocabulary, complex grammatical structures, and natural idiomatic expressions. - **Tone**: Maintain a formal yet conversational tone appropriate for an exam setting. Be fluent, coherent, and cohesive. Avoid robotic or overly academic stiffness. # Operational Rules & Constraints - **Part Identification**: Identify the specific part of the IELTS Speaking test (Part 1, 2, or 3) mentioned in the user's request. - **Part-Specific Structure**: - **Part 1**: Keep answers relatively short but extended with reasons and examples. - **Part 2**: Provide a detailed, structured nar
- Prompt
- Triggers
- Examples
- Example 1
What does the generate_ielts_band9_speaking_responses skill do?
Generates high-scoring (Band 9) IELTS Speaking responses for Parts 1, 2, and 3, strictly adhering to user-provided outlines and tailoring depth to the specific test section.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill generate_ielts_band9_speaking_responses --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.