All categories
Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
- 12,625
- 527
Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.
Open in full browserBrowse data & analytics skills
Showing 11,737–11,760 of 12,625 skills
- Renewable EnergyDesign, model, and optimize renewable energy systems including solar PV, wind power, energy storage, and grid integration. Use when "renewable energy, solar power, solar PV, wind energy, wind turbine, energy storage, battery storage, grid integration, capacity factor, " mentioned.Votes: 0GitHub stars: 137
- Quantitative ResearchWorld-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "backtest, alpha, factor model, statistical arbitrage, quant research, systematic trading, mean reversion, momentum strategy, regime detection, walk forward, " mentioned.Votes: 0GitHub stars: 137
- Portfolio OptimizationUse when constructing portfolios, implementing mean-variance optimization, factor models, risk parity, or Black-Litterman allocation - covers modern portfolio theory and practical enhancementsUse when ", " mentioned.Votes: 0GitHub stars: 137
- Physics SimulationPatterns for physics-based simulation including numerical integration, rigid body dynamics, fluid simulation, finite element methods, and multi-physics coupling. Covers accuracy, stability, and performance. Use when ", " mentioned.Votes: 0GitHub stars: 137
- Orbital MechanicsUse when computing orbits, planning maneuvers, propagating trajectories, or analyzing orbital perturbations for spacecraft or celestial bodies. Use when "orbit, trajectory, maneuver, delta-v, Hohmann, Keplerian, perturbation, J2, TLE, orbital elements, semi-major axis, eccentricity, inclination, RAAN, spacecraft propagation, Lambert solver, interplanetary, " mentioned.Votes: 0GitHub stars: 137
- Neural Architecture SearchUse when automating model architecture design, optimizing hyperparameters, or exploring neural network configurations - covers NAS algorithms, search spaces, Bayesian optimization, and AutoML toolsUse when ", " mentioned.Votes: 0GitHub stars: 137
- Model OptimizationUse when reducing model size, improving inference speed, or deploying to edge devices - covers quantization, pruning, knowledge distillation, ONNX export, and TensorRT optimizationUse when ", " mentioned.Votes: 0GitHub stars: 137
- Genomics PipelinesPatterns for building robust, reproducible genomics analysis pipelines. Covers workflow managers, NGS data processing, variant calling, RNA-seq, and common bioinformatics pitfalls. Use when ", " mentioned.Votes: 0GitHub stars: 137
- Execution AlgorithmsWorld-class trade execution - minimize market impact, optimize order routing, reduce slippage. The difference between backtest and live is usually execution. Use when "execution, slippage, market impact, order routing, TWAP, VWAP, iceberg, fill rate, best execution, " mentioned.Votes: 0GitHub stars: 137
- Energy SystemsPower systems engineering covering grid modeling, power flow analysis, energy storage dispatch, demand response, and electricity market economics. Spans transmission/distribution planning to real-time operations. Use when "power flow|load flow|grid model, energy storage|battery dispatch|ESS, demand response|load management|peak shaving, electricity market|LMP|locational marginal price, grid stability|frequency|voltage, capacity planning|resource adequacy, unit commitment|economic dispatch, tr...Votes: 0GitHub stars: 137
- Drug Discovery InformaticsPatterns for computer-aided drug discovery including virtual screening, molecular docking, ADMET prediction, lead optimization, and integration with AI/ML methods. Covers both structure-based and ligand-based approaches. Use when ", " mentioned.Votes: 0GitHub stars: 137
- Discrete Event SimulationDesign and implement discrete event simulations (DES) for systems where state changes occur at discrete time points: queues, manufacturing, logistics, networks. Use when "discrete event, DES simulation, queuing system, queue model, manufacturing simulation, process simulation, SimPy, event-driven simulation, " mentioned.Votes: 0GitHub stars: 137
- Derivatives PricingUse when pricing options, calculating Greeks, implementing exotic derivatives, or building pricing engines - covers Black-Scholes, binomial trees, Monte Carlo, and QuantLib integrationUse when ", " mentioned.Votes: 0GitHub stars: 137
- Data GovernanceUse when implementing data governance frameworks, building data catalogs, establishing data lineage, defining data quality rules, or setting up data stewardship programs - covers metadata management, data quality, and complianceUse when ", " mentioned.Votes: 0GitHub stars: 137
- Data EngineerData pipeline specialist for ETL design, data quality, CDC patterns, and batch/stream processingUse when "data pipeline, etl, cdc, data quality, batch processing, stream processing, data transformation, data warehouse, data lake, data validation, data-engineering, etl, cdc, batch, streaming, data-quality, dbt, airflow, dagster, data-pipeline, ml-memory" mentioned.Votes: 0GitHub stars: 137
- Community AnalyticsExpert in measuring what matters in communities. Covers health metrics, engagement analytics, sentiment analysis, cohort tracking, and reporting. Knows that good data drives good decisions, and bad metrics drive bad behavior. Use when "community metrics, community analytics, measure community, community health, engagement metrics, community reporting, " mentioned.Votes: 0GitHub stars: 137
- Clinical Trial AnalysisPatterns for designing and analyzing clinical trials, including survival analysis, endpoint selection, sample size calculation, interim analyses, and regulatory considerations. Covers FDA/EMA guidelines and modern adaptive designs. Use when ", " mentioned.Votes: 0GitHub stars: 137
- Climate ModelingWork with climate data, models, and projections for climate impact assessment, downscaling, and scenario analysis using CMIP6 and other climate datasets. Use when "climate model, climate projection, CMIP6, climate data, downscaling, climate scenario, RCP, SSP, global warming, " mentioned.Votes: 0GitHub stars: 137
- Causal ScientistCausal inference specialist for causal discovery, counterfactual reasoning, and effect estimationUse when "causal inference, causal discovery, counterfactual, intervention effect, confounder, structural causal model, SCM, dowhy, causal graph, causal, dowhy, scm, dag, counterfactual, intervention, causalnex, confounding, ml-memory" mentioned.Votes: 0GitHub stars: 137
- Carbon AccountingCalculate, track, and report greenhouse gas emissions following GHG Protocol standards, including Scope 1, 2, and 3 emissions and science-based targets. Use when "carbon accounting, GHG emissions, scope 1, scope 2, scope 3, carbon footprint, emission factor, science-based target, SBTi, net zero, " mentioned.Votes: 0GitHub stars: 137
- Analytics ArchitectureMeasure what matters. Event tracking design, attribution modeling, funnel analysis, experimentation platforms. The complete guide to understanding what your users actually do, not what you hope they do. Good analytics is invisible until you need it. Then it's the difference between guessing and knowing. Use when "analytics, tracking, events, funnel, conversion, attribution, segment, amplitude, mixpanel, posthog, ab testing, experiment, cohort, retention, measure, metrics, analytics, tracking...Votes: 0GitHub stars: 137
- Machine LearningMachine learning development with JAX, functional programming patterns, and high-performance computing.Votes: 0GitHub stars: 248
- Jax Best PracticesExpert in JAX for high-performance numerical computing and machine learningVotes: 0GitHub stars: 248
- Data Jupyter PythonGuidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.Votes: 0GitHub stars: 248