design-fmea-generator
Design Failure Mode and Effects Analysis (DFMEA) skill for systematic design risk identification
npx skills add a5c-ai/babysitter --skill design-fmea-generator --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.
# Design FMEA Generator Skill ## Purpose The Design FMEA Generator Skill facilitates systematic identification and evaluation of potential design failure modes for medical devices, supporting ISO 14971 risk management through structured DFMEA methodology. ## Capabilities - DFMEA worksheet generation - Failure mode brainstorming support - Severity, Occurrence, Detection rating guidance - RPN (Risk Priority Number) calculation - Recommended action tracking - Control plan linkage - Failure mode categorization - Root cause analysis templates - Design mitigation recommendations - DFMEA revision management - Cross-reference to risk management file ## Usage Guidelines ### When to Use - Initiating design risk analysis - Evaluating design alternatives - Supporting design reviews - Updating risk assessments for design changes ### Prerequisites - Design concept defined - Functional requirements documented - Intended use established - Similar device failure data available ### Best Practices - Conduct DFMEA early in design phase - Include cross-functional team members - Link to ISO 14971 risk management file - Update with design iterations ## Process Integration This skill integrates with the f
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Dependencies
- Configuration
- Output Artifacts
- Quality Criteria
What does the design-fmea-generator skill do?
Design Failure Mode and Effects Analysis (DFMEA) skill for systematic design risk identification
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill design-fmea-generator --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.