Loading...
Loading...
Found 217 Skills
Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more.
Convert JSON rows with latitude/longitude fields into a GeoJSON FeatureCollection using raw PostGIS SQL.
Sync retirement account data from Vanguard and Fidelity CSV exports to Google Sheets DataHub. Handles multiple accounts, aggregates holdings by ticker, and updates quantities in retirement section (rows 46-62). Triggers on sync retirement, update retirement, vanguard sync, 401k update, IRA sync, or working with notebooks/retirement-accounts/ files.
Polars fast DataFrame library. Use for fast data processing.
Process data with custom algorithms
Create efficient data pipelines with tf.data
Consulta riesgo pais de Argentina con serie historica desde Anduin API. Usar cuando el usuario pida "riesgo pais argentina", "ultimo riesgo pais", "serie historica de riesgo pais", "riesgo pais por fecha o periodo", o "evolucion del riesgo pais".
Set up real-time indicator computation on live WebSocket market data. Streams LTP/Quote/Depth and computes indicators in real-time with optional Plotly live charting.
Generate comprehensive stock analysis report (PDF or markdown) with trend, PMCC, and fundamental analysis
Is wallet B copying wallet A? Are these two wallets from the same entity? Uses profiler compare for shared counterparties and tokens, plus labels and PnL for identity.
Generate a concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape, valuation, and recent news to produce a professional HTML report.
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.