user-feedback-synthesizer

# User Feedback Synthesizer This skill reads a set of user interview transcripts, support tickets, and survey feedback files (`.md`, `.txt`, `.csv`) and generates a structured insight report: recurring themes ranked by frequency, supporting quotes as evidence, prioritized insights, and open questions. Output is saved as `feedback-insights-YYYY-MM-DD.md`. **Input:** - Folder path or list of `.md` / `.txt` / `.csv` files containing user feedback - Optional: research question or focus area (e.g., "focus on onboarding pain points") - Optional: output format preference (brief / detailed) **Output:** - `feedback-insights-YYYY-MM-DD.md` — structured report with Executive Summary, Themes, Prioritized Insights, Evidence Bank, Open Questions --- ## Language Detection Detect the user's language from their message: - If Russian (or contains Cyrillic): respond in Russian and use Russian labels for all structured outputs (table headers, signal types, section titles, status messages) - If English (or other Latin-script language): respond in English - If ambiguous: respond in the language of the trigger phrase used **Russian output labels:** - Signal types: Проблема (Pain), Желание (Desire), Похвала (Compliment), Путаница (Confusion) - Section titles: Выводы (Executive Summary), Темы (Themes), Приоритизированные Идеи (Prioritized Insights), Открытые Вопросы (Open Questions), Обработанные Файлы (Files Processed) - Table headers: Приоритет (Priority), Идея (Insight), Тема (Theme), Источ...