Retrieves and analyzes survey summaries and interview research data stored in Supabase to provide actionable insights.
This skill enables Claude to interact directly with research data stored in the Supabase 'enquete_summary' table. It provides a specialized interface for browsing survey listings, fetching detailed summaries of specific events, and performing cross-sectional keyword searches across all stored qualitative data. By bridging the gap between raw database records and user queries, it helps teams quickly extract trends, user feedback, and key findings from past research without needing to write manual SQL queries.
主要功能
01Fetch comprehensive summaries and detailed results for specific surveys.
02Automatically format database results into clean, readable Markdown reports.
03List all registered surveys and interview sessions with record counts.
04Optimized context-saving architecture for fast, direct SQL execution.
05Perform cross-sectional keyword searches across titles and descriptions.
060 GitHub stars
使用场景
01Generating quick reports on specific survey outcomes for stakeholders or team meetings.
02Identifying common user pain points by searching keywords across multiple interview sessions.
03Reviewing historical event feedback to identify areas for improvement in future planning.
