fatigue-dt
Specialized skill for fatigue life prediction and damage tolerance assessment
npx skills add a5c-ai/babysitter --skill fatigue-dt --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.
# Fatigue and Damage Tolerance Skill ## Purpose Provide specialized fatigue life prediction and damage tolerance assessment capabilities for airworthiness certification and structural integrity management. ## Capabilities - S-N and strain-life analysis - Crack growth analysis (NASGRO, AFGROW) - Inspection interval determination - Damage tolerance substantiation - Spectrum loading analysis - Mean stress correction methods - Multi-site damage assessment - Certification evidence generation ## Usage Guidelines - Use appropriate fatigue methodology based on structural criticality - Select material data from qualified sources (MMPDS, ESDU) - Apply appropriate scatter factors per regulatory requirements - Consider environmental effects on fatigue and crack growth - Define inspection intervals with adequate safety margins - Document all assumptions and conservatisms in certification reports ## Dependencies - NASGRO - AFGROW - Fe-Safe - nCode DesignLife ## Process Integration - AE-008: Fatigue and Damage Tolerance - AE-021: Certification Planning
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the fatigue-dt skill do?
Specialized skill for fatigue life prediction and damage tolerance assessment
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill fatigue-dt --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.