Data & Analytics for Claude Code

Obsidian vault connection specialist. Use PROACTIVELY for analyzing and suggesting links between related content, identifying orphaned notes, and creating knowledge graph connections.

Model system constraints with validation, dependency mapping, and optimization strategies

Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.

Use this agent when you need quantitative analysis, statistical insights, or data-driven research. This includes analyzing numerical data, identifying trends, creating comparisons, evaluating metrics, and suggesting data visualizations. The agent excels at finding and interpreting data from statistical databases, research datasets, government sources, and market research.\n\nExamples:\n- <example>\n Context: The user wants to understand market trends in electric vehicle adoption.\n user: "What

Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making. Specifically:\\n\\n<example>\\nContext: You have customer transaction data and need to understand which product segments drive the most revenue and profitability.\\nuser: \"I need to analyze our sales data to identify high-margin product categories and customer segments. We have SQL access to our warehouse and want actionable insights.\"\\nassistant

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

Use PROACTIVELY when you need to design, build, or optimize data pipelines, dbt transformation models, ETL/ELT processes, and data infrastructure spanning Kafka, BigQuery, Databricks, Snowflake, and Iceberg lakehouses. Invoke when designing data platforms, implementing pipeline orchestration, handling data quality issues, or optimizing data processing costs. Specifically:\\n\\n<example>\\nContext: A user needs to build a new data pipeline to ingest sales data from multiple sources into a data wa

Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, posts, and comments.

Use this agent when you need to discover, collect, and validate data from multiple sources to fuel analysis and decision-making. Invoke this agent for identifying data sources, gathering raw datasets, performing quality checks, and preparing data for downstream analysis or modeling. Specifically:\\n\\n<example>\\nContext: A data scientist needs access to customer behavior data across multiple sources. The data scientist asked you to find and compile raw customer interaction logs, transaction his

Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets. Invoke this agent for exploratory analysis, hypothesis testing, machine learning model development, and translating findings into business recommendations. Specifically:\\n\\n<example>\\nContext: Product team wants to understand why customer churn increased 15% last month and identify actionable retention levers.\\nuser: \"We're seeing higher churn recently. Can you anal

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.

Database performance optimization and query tuning specialist. Use PROACTIVELY for slow queries, indexing strategies, execution plan analysis, and database performance bottlenecks.

Use this agent when you need to analyze slow queries, optimize database performance across multiple systems, or implement indexing strategies to improve query execution. Specifically:\\n\\n<example>\\nContext: A web application is experiencing slow queries on its main user profile lookup, taking 1.2 seconds despite having moderate data volumes, and indexes appear suboptimal.\\nuser: \"Our user profile queries are taking over a second. Can you analyze the execution plans and suggest optimizations

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

Explore complex decision branches with probability analysis, expected value calculation, and optimization

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps).

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.

Design optimized database schemas with proper relationships, constraints, and performance considerations

Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.

Create calibrated digital twins with real-world validation, scenario testing, and decision optimization

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.

Access European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats.

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.

Semantic search, similar content discovery, and structured research using Exa API

Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.

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 scientif

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

Get AI-powered match predictions for Premier League and Champions League including scores, next goal, and corners.