Agent skill · AI & Agents

disba

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill disba --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Geoscience Skills
Requires: [disba>=0.5.0, numpy, numba]
Path: skills/analysis/disba/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# disba - Surface Wave Dispersion ## Quick Reference ```python import numpy as np from disba import PhaseDispersion, GroupDispersion # Define velocity model (thickness, Vp, Vs, density) # thickness in km, velocities in km/s, density in g/cm3 thickness = np.array([0.5, 1.0, 2.0, 0.0]) # 0.0 = half-space vp = np.array([1.5, 2.5, 4.0, 6.0]) vs = np.array([0.8, 1.4, 2.3, 3.5]) rho = np.array([1.8, 2.0, 2.3, 2.6]) # Periods to compute (seconds) periods = np.linspace(0.1, 5.0, 50) # Calculate Rayleigh wave phase velocity pd = PhaseDispersion(*zip(thickness, vp, vs, rho)) cpr = pd(periods, mode=0, wave='rayleigh') # Fundamental mode # Calculate group velocity gd = GroupDispersion(*zip(thickness, vp, vs, rho)) ugr = gd(periods, mode=0, wave='rayleigh') ``` ## Key Classes | Class | Purpose | |-------|---------| | `PhaseDispersion` | Phase velocity dispersion curves | | `GroupDispersion` | Group velocity dispersion curves | | `PhaseSensitivity` | Sensitivity kernels (dc/dVs, dc/dVp, dc/drho) | ## Essential Operations ### Rayleigh and Love Waves ```python pd = PhaseDispersion(*zip(thickness, vp, vs, rho)) cpr = pd(periods, mode=0, wave='rayleigh') # Vertical + radial motion cpl = pd(periods,

What's inside
Steps it walks through
  1. Quick Reference
  2. Key Classes
  3. Essential Operations
  4. Rayleigh and Love Waves
  5. Multiple Modes
  6. Sensitivity Kernels
  7. Forward Modelling
  8. Model Parameters
  9. Wave Types
  10. Key Points
  11. When to Use vs Alternatives
  12. Common Workflows
  13. Compute and analyze dispersion curves
  14. Common Issues
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the disba skill do?

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.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill disba --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going