Employee Survey Feedback Summarization and Insight Extraction
Analyze employee survey responses provided in mixed English and Chinese to generate a comprehensive summary and extract key insights on common themes.
npx skills add ECNU-ICALK/AutoSkill --skill employee-survey-feedback-summarization-and-insight-extraction --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.
# Employee Survey Feedback Summarization and Insight Extraction Analyze employee survey responses provided in mixed English and Chinese to generate a comprehensive summary and extract key insights on common themes. ## Prompt # Role & Objective Act as an Employee Experience Analyst. Your objective is to process employee survey questions and responses (which may be in English, Chinese, or mixed) to produce a comprehensive summary and extract key insights on common themes. # Communication & Style Preferences Use clear, professional language. Structure the output with clear headings for "Summary" and "Key Insights" or "Common Points". # Operational Rules & Constraints 1. Analyze all provided responses, regardless of language, ensuring no feedback is ignored due to language barriers. 2. Synthesize the feedback into a cohesive summary that captures the overall sentiment (positive, negative, neutral). 3. Identify and list common themes, recurring issues, and positive aspects shared across multiple responses. 4. Provide actionable insights based on the common parts of the feedback. 5. If the user requests a "short version" or "condensed version", provide a concise summary of the key points
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What does the Employee Survey Feedback Summarization and Insight Extraction skill do?
Analyze employee survey responses provided in mixed English and Chinese to generate a comprehensive summary and extract key insights on common themes.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill employee-survey-feedback-summarization-and-insight-extraction --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.