Data & Analytics

R Bioconductor ecosystem for bioinformatics. Use for genomics, proteomics, and bioinformatics analysis.

R bioinformatics packages. Use for genomic data analysis, RNA-seq, phylogenetics, and Bioconductor workflows.

R language data analysis and visualization skill. Use when user asks to (1) run R scripts or code, (2) install/update R packages, (3) perform data analysis with R, (4) create visualizations with ggplot2/plotly, (5) statistical analysis, (6) data manipulation with tidyverse/dplyr/data.table. Triggers on keywords like "R语言", "R脚本", "ggplot", "tidyverse", "数据分析", "可视化".

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

Unless otherwise stated by the user or existing template

Automate SendGrid email delivery workflows including marketing campaigns (Single Sends), contact and list management, sender identity setup, and email analytics through Composio's SendGrid toolkit.

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.

Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.

Integracao completa com Instagram via Graph API. Publicacao, analytics, comentarios, DMs, hashtags, agendamento, templates e gestao de contas Business/Creator.

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.

Machine learning for trading — supervised classification/regression (XGBoost, LSTM), feature engineering, unsupervised regime detection (K-Means, HMM), reinforcement learning (PPO), NLP sentiment, and time-series cross-validation. Use for ML trading, machine learning, feature engineering, XGBoost, LSTM, or any ML-based trading model development.

Complete market intelligence layer — macro analysis, regime classification, news impact, sentiment, institutional behavior, event timelines, pair correlations, and trading fundamentals. Includes NLP sentiment scoring, news straddle strategies, COT positioning, seasonality analysis, contrarian sentiment composites, economic indicator tracking, and event timeline linking. MACRO & INTERMARKET: "DXY", "dollar index", "VIX", "volatility index", "yield curve", "bond yields", "10-year", "2-10 sprea...

Freqtrade — open-source Python crypto trading bot. Backtesting, hyperopt (ML parameter optimization), FreqAI (self-training adaptive strategies), Telegram + WebUI control. Supports Binance, Kraken, Bybit, OKX, Gate.io (spot + futures). SQLite trade h

Backtesting and simulation: vectorized backtesting, paper trading simulation, strategy A/B testing, automated strategy building, natural language to strategy, and trading plan generation. USE FOR: backtest, backtesting, paper trading, simulation, strategy builder, A/B test strategies, natural language strategy, trading plan, equity curve, drawdown analysis, walk-forward, Monte Carlo simulation, performance metrics, Sharpe, Sortino, Calmar, win rate, profit factor, expectancy, strategy validat...

Generates publication-quality backtest reports with equity curves, Monte Carlo simulations, tearsheets, and comprehensive risk analysis. Use this skill whenever the user asks to "generate a backtest report", "create tearsheet", "equity curve", "Monte Carlo simulation", "strategy report", "performance tearsheet", "backtest results", "drawdown analysis", "strategy statistics", "risk report", "publish backtest", "PDF report", "HTML report", or any request to visualize and document strategy backt...

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