Agent skill · Data & Analytics

matlab-compute-aerospace-environment

Compute aerospace environment properties including atmosphere (ISA, COESA, NRLMSISE-00, non-standard, CIRA), gravity (spherical harmonic, WGS84, zonal, centrifugal), horizontal wind (HWM), magnetic field (WMM, IGRF), geoid height, geocentric radius, space weather data, planetary ephemeris, Earth orientation (polar motion, nutation, delta-UT1, CIP). Use when computing atmospheric density, temperature, pressure, gravity vectors, wind profiles, magnetic field components, geoid undulation, solar flux indices, planet positions, or Earth orientation parameters for aerospace vehicle analysis, spacecr

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-compute-aerospace-environment --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 16 KB
Bundled scripts: none
Version: 1.1
Declared author: MathWorks
Path: skills-catalog/aerospace/matlab-compute-aerospace-environment/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 868
Language: MATLAB

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

From the SKILL.md

# Compute Aerospace Environment Calculate environment properties for aerospace vehicle analysis: atmosphere, gravity, wind, magnetic field, geoid, space weather, planetary ephemeris, and Earth orientation using Aerospace Toolbox functions. ## When to Use - Computing atmospheric properties (temperature, pressure, density, speed of sound) - Calculating gravity vectors or acceleration for any planet - Modeling horizontal wind at altitude - Getting magnetic field components for navigation or compass correction - Computing geoid height or geocentric radius - Reading space weather data for NRLMSISE-00 inputs - Computing planet or Moon positions (ephemeris) - Getting Earth orientation parameters (polar motion, nutation, UT1-UTC, CIP) - Any prompt mentioning: atmosphere model, ISA, COESA, NRLMSISE, pressure, temperature, density, speed of sound, gravity model, WGS84, wind model, HWM, magnetic model, WMM, IGRF, geoid, space weather, solar flux, F10.7, Ap index, planet ephemeris, Moon position, Earth nutation, polar motion, UT1, IERS ## When NOT to Use - Coordinate frame conversions or rotations — use `matlab-convert-aerospace-coordinates` - Orbital mechanics or trajectory propagation (use e

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Workflow
  4. Decision Table
  5. Patterns
  6. Standard and COESA Atmosphere
  7. Pressure Altitude (atmospalt)
  8. Non-Standard Atmosphere (atmosnonstd)
  9. CIRA 1986 Model
  10. NRLMSISE-00
  11. Lapse Rate Atmosphere (atmoslapse)
  12. Horizontal Wind Model (atmoshwm)
  13. Gravity: Spherical Harmonic
  14. Gravity: WGS84
Ships with 1 file
  • manifest.yaml
More from matlab-agentic-toolkit
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About this skill
What does the matlab-compute-aerospace-environment skill do?

Compute aerospace environment properties including atmosphere (ISA, COESA, NRLMSISE-00, non-standard, CIRA), gravity (spherical harmonic, WGS84, zonal, centrifugal), horizontal wind (HWM), magnetic field (WMM, IGRF), geoid height, geocentric radius, space weather data, planetary ephemeris, Earth orientation (polar motion, nutation, delta-UT1, CIP). Use when computing atmospheric density, temperature, pressure, gravity vectors, wind profiles, magnetic field components, geoid undulation, solar flux indices, planet positions, or Earth orientation parameters for aerospace vehicle analysis, spacecr

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-compute-aerospace-environment --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 matlab/matlab-agentic-toolkit, a repository with 868 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.

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