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Found 6 Skills
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
Monitors China A-share concept sectors and Dragon Tiger List (龙虎榜) via Tushare, then generates structured markdown reports. Use when users ask to track sector momentum, fetch top_list (doc_id=106), remove ST stocks, rank movers, or save monitoring output as .md files.
Automatically summarize the daily top news from multiple news websites using browser automation to access and read news content. Applicable for tasks such as user requests like "Summarize today's news", "Get today's top news", "Generate news summary"; or user questions like "What are the important news today?" and "Help me check today's headlines on news websites". Supports Chinese news websites (Sina, NetEase, Tencent, etc.) and international news websites (BBC, Reuters, etc.), generating detailed summary reports in Markdown format.
Based on the content of NSFC proposal text and combined with the application code recommendation library, provide you with 5 sets of recommended primary/secondary application codes (Code 1/Code 2) with justifications; output to NSFC-CODE-vYYYYMMDDHHmm.md (read-only, no modification to the proposal)
Analyze the source code of GitHub open-source repositories and generate structured analysis reports. Supports generating reports such as project architecture overview, code quality analysis, core module description, etc., and optional synchronization to Notion.
Summarizes git commits for specified users over a given time period and generates markdown reports