spacecraft-thermal

Skill for spacecraft thermal control system design and analysis

509 stars

Best use case

spacecraft-thermal is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Skill for spacecraft thermal control system design and analysis

Teams using spacecraft-thermal should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/spacecraft-thermal/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/aerospace-engineering/skills/spacecraft-thermal/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/spacecraft-thermal/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How spacecraft-thermal Compares

Feature / Agent	spacecraft-thermal	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Skill for spacecraft thermal control system design and analysis

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Spacecraft Thermal Analysis Skill

## Purpose
Provide comprehensive spacecraft thermal control system design and analysis capabilities for component temperature prediction and thermal management.

## Capabilities
- Thermal Desktop and SINDA modeling
- Orbital environment definition
- Radiator sizing and placement
- Heater control logic design
- Thermal balance verification
- Hot/cold case analysis
- Component temperature prediction
- MLI and coating specification

## Usage Guidelines
- Define worst-case thermal environments for hot and cold cases
- Use appropriate view factors and orbital parameters
- Size radiators with adequate margin for degradation
- Design heater circuits with redundancy for critical components
- Validate thermal models against test data
- Document thermal control system design and operating procedures

## Dependencies
- Thermal Desktop
- SINDA/FLUINT
- ESATAN

## Process Integration
- AE-015: Spacecraft Thermal Analysis

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