fatigue-life-predictor
Fatigue life prediction skill for implants and load-bearing devices using validated approaches
npx skills add a5c-ai/babysitter --skill fatigue-life-predictor --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 Life Predictor Skill ## Purpose The Fatigue Life Predictor Skill estimates fatigue life of medical implants and load-bearing devices using established methodologies per ASTM and ISO standards, supporting design verification and regulatory submissions. ## Capabilities - S-N curve generation and analysis - Strain-life fatigue modeling - Multiaxial fatigue assessment - Fretting fatigue evaluation - Corrosion fatigue considerations - Goodman diagram construction - Run-out criteria application - Notch sensitivity analysis - Statistical treatment of fatigue data - Design allowable determination - Fatigue test correlation ## Usage Guidelines ### When to Use - Predicting implant fatigue life - Designing fatigue testing protocols - Correlating FEA with bench testing - Supporting design verification ### Prerequisites - Stress analysis completed - Material fatigue properties available - Loading spectrum defined - Surface finish characterized ### Best Practices - Use appropriate fatigue methodology for loading type - Account for mean stress effects - Consider physiological environment effects - Correlate predictions with bench testing ## Process Integration This skill integrates with
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Dependencies
- Configuration
- Output Artifacts
- Quality Criteria
What does the fatigue-life-predictor skill do?
Fatigue life prediction skill for implants and load-bearing devices using validated approaches
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill fatigue-life-predictor --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.