satellitetoolbox-atmosphere
SatelliteToolboxAtmosphericModels.jl for computing atmospheric density and temperature using empirical models (Exponential, JR1971, JB2008, NRLMSISE-00). Use when computing atmospheric drag, looking up density at altitude, or working with atmospheric models for orbit propagation.
Profile →npx skills add majiayu000/claude-skill-registry --skill satellitetoolbox-atmosphere-hammerhead-space-agenticcodingrules --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SatelliteToolboxAtmosphericModels.jl Atmospheric density and temperature models. Repo: [JuliaSpace/SatelliteToolboxAtmosphericModels.jl](https://github.com/JuliaSpace/SatelliteToolboxAtmosphericModels.jl) ## Models All functions accessed via `AtmosphericModels.` submodule prefix. ### Exponential (simplest, no space indices needed) ```julia ρ = AtmosphericModels.exponential(h) # h [m] -> density [kg/m³] ``` ### Jacchia-Roberts 1971 ```julia out = AtmosphericModels.jr1971(jd, ϕ_gd, λ, h) # auto-fetches indices out = AtmosphericModels.jr1971(jd, ϕ_gd, λ, h, F10, F10ₐ, Kp) # manual indices out.total_density # [kg/m³] out.temperature # [K] out.exospheric_temperature # [K] ``` ### Jacchia-Bowman 2008 ```julia out = AtmosphericModels.jb2008(jd, ϕ_gd, λ, h) # auto-fetches indices out = AtmosphericModels.jb2008(jd, ϕ_gd, λ, h, F10, F10ₐ, S10, S10ₐ, M10, M10ₐ, Y10, Y10ₐ, DstΔTc) ``` ### NRLMSISE-00 ```julia # NOTE: argument order differs! (time, altitude, lat, lon) out = AtmosphericModels.nrlmsise00(jd, h, ϕ_gd, λ) # auto-fetches out = AtmosphericModels.nrlmsise00(jd, h, ϕ_gd, λ, F10ₐ, F10, ap) ``` ## Output Fields (all models) - `total_density` [kg/m³], `temperature` [K], `exospheric_temp
- Models
- Exponential (simplest, no space indices needed)
- Jacchia-Roberts 1971
- Jacchia-Bowman 2008
- NRLMSISE-00
- Output Fields (all models)
- Prerequisites
- Key Conventions
What does the satellitetoolbox-atmosphere skill do?
SatelliteToolboxAtmosphericModels.jl for computing atmospheric density and temperature using empirical models (Exponential, JR1971, JB2008, NRLMSISE-00). Use when computing atmospheric drag, looking up density at altitude, or working with atmospheric models for orbit propagation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill satellitetoolbox-atmosphere-hammerhead-space-agenticcodingrules --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.