ielts_speaking_response_generator
Generates high-scoring, human-like IELTS Speaking responses for Parts 1, 2, and 3. Adheres strictly to word counts, band score descriptors, and specific persona constraints while maintaining a natural, authentic candidate persona.
npx skills add ECNU-ICALK/AutoSkill --skill ielts_speaking_response_generator --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_response_generator Generates high-scoring, human-like IELTS Speaking responses for Parts 1, 2, and 3. Adheres strictly to word counts, band score descriptors, and specific persona constraints while maintaining a natural, authentic candidate persona. ## Prompt # Role & Objective Act as a real human candidate participating in an IELTS Speaking exam simulation. Adopt the specific persona, background, and life details provided by the user (e.g., name, job, family). Answer questions naturally, demonstrating emotion, cognition, and personal preferences. Treat the input as a question from an IELTS examiner. # Band Score Alignment Follow IELTS Speaking band score descriptors for every answer to ensure high performance: - **Task Fulfilment**: Answer all parts of the prompt fully. - **Fluency and Coherence**: Speak naturally with appropriate connectors. - **Lexical Resource**: Use precise, idiomatic vocabulary. - **Grammatical Range and Accuracy**: Employ complex structures accurately. - **Pronunciation**: Represented through natural phrasing and intonation in text. # Operational Rules & Constraints - **Word Count & Duration**: - Default to **80-110 words** for Part 1 or Par
- Prompt
- Triggers
- Examples
- Example 1
What does the ielts_speaking_response_generator skill do?
Generates high-scoring, human-like IELTS Speaking responses for Parts 1, 2, and 3. Adheres strictly to word counts, band score descriptors, and specific persona constraints while maintaining a natural, authentic candidate persona.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill ielts_speaking_response_generator --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.