thermal-management
Vehicle and powertrain thermal management system design
npx skills add a5c-ai/babysitter --skill thermal-management --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.
# Thermal Management Skill ## Purpose Enable vehicle and powertrain thermal management system design for optimal component temperatures and cabin comfort. ## Capabilities - 1D thermal system modeling (GT-SUITE, Amesim) - Heat exchanger sizing - Coolant circuit design - HVAC system integration - Battery thermal management - Waste heat recovery analysis - Thermal preconditioning strategy - Cabin comfort optimization ## Usage Guidelines - Model thermal system with appropriate fidelity - Size components for worst-case thermal conditions - Design coolant circuits for efficient heat transfer - Integrate HVAC for cabin comfort and battery cooling - Implement preconditioning for cold climate performance - Validate thermal performance through testing ## Dependencies - GT-SUITE - Amesim - STAR-CCM+ - CFD tools ## Process Integration - PTE-001: Battery System Design and Validation - PTE-002: Electric Drive Unit Development - PTE-003: Hybrid Powertrain Integration
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the thermal-management skill do?
Vehicle and powertrain thermal management system design
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill thermal-management --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 a5c-ai/babysitter, a repository with 1,642 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.