npx skills add a5c-ai/babysitter --skill nvh-analysis --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.
# NVH Analysis Skill ## Purpose Provide noise, vibration, and harshness analysis and optimization expertise for vehicle refinement and sound quality engineering. ## Capabilities - Modal analysis and transfer path analysis - Order tracking and Campbell diagrams - Source-path-receiver analysis - Panel contribution analysis - Acoustic simulation (SEA, BEM, FEM) - Sound quality metrics - EV/HEV-specific NVH (inverter whine, motor noise) - Pass-by noise simulation ## Usage Guidelines - Identify NVH sources through transfer path analysis - Use order tracking for rotating component analysis - Apply acoustic simulation for early design guidance - Evaluate sound quality for brand character - Address EV-specific noise sources - Validate against pass-by noise regulations ## Dependencies - Siemens LMS Test.Lab - HEAD acoustics - MATLAB ## Process Integration - PTE-002: Electric Drive Unit Development - VDC-001: Suspension System Development - TVL-001: Vehicle-Level Validation Testing
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the nvh-analysis skill do?
Noise, vibration, and harshness analysis and optimization expertise
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill nvh-analysis --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.