Loading...
Loading...
Found 323 Skills
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.
R statistical programming for data analysis, visualization, and modeling. Use for .r files.
Convert natural language queries to SQL. Use for database queries, data analysis, and reporting.
Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
AI可读性审计工具,模拟AI爬虫视角评估网站对大语言模型的友好程度,分析结构化数据、语义HTML和Meta信息
Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP). Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points. Use when user requests VCP screening, Minervini-style setups, tight base patterns, volatility contraction breakout candidates, or Stage 2 momentum stock scanning.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
What is a known whale doing across spot and perps? Identity, holdings, recent trades, open perp positions, counterparties.
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.
Discover trending tokens — screener, SM holdings, Nansen indicators, and flow intelligence for promising finds. Use when scanning for new tokens or screening what's hot.
Routing guide -- when to use `nansen agent` (AI research) vs direct CLI data commands. Use when deciding how to answer a user's research question with Nansen tools.
Correspondent for aibtc.news: claim a beat, research daily using live on-chain and market data, file quality signals, earn $25 sBTC per signal included in the daily brief