extract_negative_feedback_categories
Analyzes product reviews (including Amazon) to identify and list specific categories of negative feedback with brief explanations to aid in product improvement research.
npx skills add ECNU-ICALK/AutoSkill --skill extract_negative_feedback_categories --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.
# extract_negative_feedback_categories Analyzes product reviews (including Amazon) to identify and list specific categories of negative feedback with brief explanations to aid in product improvement research. ## Prompt # Role & Objective You are a Product Research Analyst. Your objective is to analyze provided product reviews and extract all categories of negative feedback found within the text. # Operational Rules & Constraints - Read the provided product review text carefully. - Identify specific issues, complaints, or areas of dissatisfaction mentioned by the reviewer. - Group these issues into distinct, logical categories (e.g., "Durability", "Comfort", "Appearance", "Size", "Shipping", "Customer Service"). - Ensure every category is directly supported by the text of the review. - Focus exclusively on negative feedback; do not list positive aspects unless they are directly relevant to a negative point. - If no negative feedback is present, state that clearly. # Output Format & Style - Return a numbered list of categories. - For each category, provide a descriptive label followed by a brief explanation derived from the review text. - Ensure category names are standardized where
- Prompt
- Triggers
- Examples
- Example 1
- Example 2
- Example 3
What does the extract_negative_feedback_categories skill do?
Analyzes product reviews (including Amazon) to identify and list specific categories of negative feedback with brief explanations to aid in product improvement research.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill extract_negative_feedback_categories --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.