Total 50,394 skills, Data Processing has 2557 skills
Showing 12 of 2557 skills
Compute surface wave dispersion curves for layered Earth models using the Thomson-Haskell matrix method with Numba acceleration. Use when Claude needs to: (1) Calculate Rayleigh or Love wave phase velocities, (2) Compute group velocity dispersion, (3) Generate sensitivity kernels for inversion, (4) Forward model dispersion curves from velocity profiles, (5) Compare dispersion between different Earth models, (6) Set up surface wave tomography workflows.
3D visualization and mesh analysis for geoscience data using PyVista/VTK. Use when Claude needs to: (1) Create 3D visualizations of geological models, (2) Render seismic volumes or voxel data, (3) Visualize point clouds or well paths, (4) Plot surfaces and meshes in 3D, (5) Read/write VTK, STL, OBJ files, (6) Create cross-sections through 3D models, (7) Export publication-quality figures or interactive HTML.
Linear operators for large-scale inverse problems with matrix-free representations. Use when Claude needs to: (1) Define linear operators for forward/adjoint operations, (2) Solve inverse problems (deconvolution, imaging, tomography), (3) Apply signal processing transforms (FFT, convolution, derivatives), (4) Compose operators for complex workflows, (5) Perform regularized inversion with smoothness or sparsity constraints, (6) Process seismic or image data at scale.
Segment integration. Manage Workspaces. Use when the user wants to interact with Segment data.
Synthesizes themes from PayPal disputes, HubSpot tickets, and review exports into a top-3 fixable issues list with drafted response templates. Accepts optional since-date argument.
Calculate present value, future value, NPV, IRR, loan payments, and amortization schedules across all compounding conventions. Use when the user asks about discounting cash flows, valuing an annuity or perpetuity, comparing investments with different timing, building a mortgage amortization table, or evaluating whether a project is worth pursuing. Also trigger when users mention 'what is it worth today', 'how much will I have in 20 years', 'monthly payment on a loan', 'discount rate', 'Gordon growth model', 'effective annual rate', 'continuous compounding', or ask how to compare a lump sum versus a stream of payments.
Quantify realized risk from historical data using volatility estimators, drawdown analysis, and downside risk metrics. Use when the user asks about historical volatility, maximum drawdown, drawdown duration, historical VaR, downside deviation, semi-variance, or tracking error. Also trigger when users mention 'how risky has this been', 'worst decline', 'Parkinson estimator', 'Yang-Zhang', 'peak-to-trough loss', 'recovery time', 'annualized volatility', or ask how to measure past investment risk.
Build diversified portfolios using correlation analysis, efficient frontier construction, and factor-based diversification. Use when the user asks about portfolio variance, correlation effects, the efficient frontier, minimum variance portfolios, diversification ratios, or factor diversification. Also trigger when users mention 'don't put all eggs in one basket', 'how many stocks do I need', 'correlation breakdown in a crisis', 'are my holdings really diversified', 'risk contributions', or ask why diversification fails during market crashes.
Analyze government bonds including US Treasuries, yield curves, duration, convexity, and TIPS. Use when the user asks about Treasury bonds, sovereign debt, yield curve construction, interest rate risk, duration, convexity, TIPS, or breakeven inflation rates. Also trigger when users mention 'T-bills', 'T-notes', 'bond pricing', 'yield to maturity', 'inverted yield curve', 'forward rates', 'spot rates', 'DV01', 'real yields', or ask how bonds react to interest rate changes.
Compute and compare investment return metrics including TWR, MWR/IRR, CAGR, and annualized returns. Use when the user asks about portfolio performance calculation, comparing manager returns, linking sub-period returns, understanding why different return methods give different numbers, or converting returns across time periods. Also trigger when users mention 'how much did I make', 'annual return', 'compound growth', 'dollar-weighted vs time-weighted', 'what was my rate of return', 'geometric vs arithmetic mean', 'log returns', or ask about the effect of cash flows on reported returns.
Use when the user asks about RevenueCat data, analytics, charts, KPIs
Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites.