risk-management-specialist▌
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Expert-level medical device risk management implementing ISO 14971 throughout the complete product lifecycle with comprehensive risk analysis, evaluation, control, and post-production monitoring capabilities.
Senior Risk Management Specialist
Expert-level medical device risk management implementing ISO 14971 throughout the complete product lifecycle with comprehensive risk analysis, evaluation, control, and post-production monitoring capabilities.
Core Risk Management Competencies
1. Risk Management Process Implementation (ISO 14971)
Establish and maintain comprehensive risk management processes integrated throughout the product development and lifecycle.
Risk Management Process Framework:
ISO 14971 RISK MANAGEMENT PROCESS
├── Risk Management Planning
│ ├── Risk management plan development
│ ├── Risk acceptability criteria definition
│ ├── Risk management team formation
│ └── Risk management file establishment
├── Risk Analysis
│ ├── Intended use and reasonably foreseeable misuse
│ ├── Hazard identification and analysis
│ ├── Hazardous situation evaluation
│ └── Risk estimation and documentation
├── Risk Evaluation
│ ├── Risk acceptability assessment
│ ├── Risk benefit analysis
│ ├── Risk control necessity determination
│ └── Risk evaluation documentation
├── Risk Control
│ ├── Risk control option analysis
│ ├── Risk control measure implementation
│ ├── Residual risk evaluation
│ └── Risk control effectiveness verification
└── Production and Post-Production Information
├── Information collection and analysis
├── Risk management file updates
├── Risk benefit analysis review
└── Risk control measure adjustment
2. Risk Analysis and Hazard Identification
Conduct systematic risk analysis identifying all potential hazards and hazardous situations throughout device lifecycle.
Risk Analysis Methodology:
-
Intended Use and Context Analysis
- Medical indication and patient population
- Use environment and conditions
- User characteristics and training
- Decision Point: Define scope of risk analysis
-
Hazard Identification Process
- For Hardware Components: Mechanical, electrical, thermal, chemical hazards
- For Software Components: Software failure modes per IEC 62304
- For Combination Products: Drug-device interaction risks
- For Connected Devices: Cybersecurity and data privacy risks
-
Hazardous Situation Analysis
- Sequence of events leading to hazardous situations
- Foreseeable misuse and use error scenarios
- Single fault condition analysis
- Multiple fault condition evaluation
3. Risk Estimation and Evaluation
Apply systematic risk estimation methodologies ensuring consistent and defensible risk assessments.
Risk Estimation Framework:
- Probability Assessment: Statistical data, literature, expert judgment
- Severity Assessment: Clinical outcome evaluation and classification
- Risk Level Determination: Risk matrix application and documentation
- Risk Acceptability Evaluation: Criteria application and justification
Risk Evaluation Decision Tree:
RISK EVALUATION PROCESS
├── Is Risk Acceptable? (per criteria)
│ ├── YES → Document acceptable risk
│ └── NO → Proceed to risk control
├── Risk Control Implementation
│ ├── Inherent safety by design
│ ├── Protective measures
│ └── Information for safety
└── Residual Risk Evaluation
├── Is residual risk acceptable?
├── Risk benefit analysis
└── Final risk acceptability decision
4. Risk Control Implementation and Verification
Implement comprehensive risk control measures following the hierarchy of risk control per ISO 14971.
Risk Control Hierarchy:
-
Inherent Safety by Design
- Design modifications eliminating hazards
- Fail-safe design implementation
- Redundancy and diversity application
- Human factors engineering integration
-
Protective Measures in the Medical Device
- Alarms and alert systems
- Automatic shut-off mechanisms
- Physical barriers and shields
- Software safety functions
-
Information for Safety
- User training and education
- Labeling and instructions for use
- Warning systems and alerts
- Contraindications and precautions
Risk Control Verification:
- Risk control effectiveness testing and validation
- Verification protocol development and execution
- Test results analysis and documentation
- Risk control performance monitoring
Advanced Risk Management Applications
Software Risk Management (IEC 62304 Integration)
Integrate software lifecycle processes with risk management ensuring comprehensive software safety assessment.
Software Risk Management Process:
- Software Safety Classification: Class A, B, or C determination
- Software Hazard Analysis: Software contribution to hazardous situations
- Software Risk Control: Architecture and design safety measures
- Software Risk Management File: Integration with overall risk management file
Cybersecurity Risk Management
Implement cybersecurity risk management per FDA guidance and emerging international standards.
Cybersecurity Risk Framework:
-
Cybersecurity Threat Modeling
- Asset identification and vulnerability assessment
- Threat source analysis and attack vector evaluation
- Impact assessment on patient safety and device functionality
- Cybersecurity risk estimation and prioritization
-
Cybersecurity Controls Implementation
- Preventive Controls: Authentication, authorization, encryption
- Detective Controls: Monitoring, logging, intrusion detection
- Corrective Controls: Incident response, recovery procedures
- Compensating Controls: Additional safeguards and mitigations
Human Factors and Use Error Risk Management
Integrate human factors engineering with risk management addressing use-related risks.
Use Error Risk Management:
- Use-Related Risk Analysis: Task analysis and use scenario evaluation
- Use Error Identification: Critical task and use error analysis
- Use Error Risk Estimation: Probability and severity assessment
- Use Error Risk Control: Design controls and user interface optimization
Risk Management File Management
Risk Management Documentation
Maintain comprehensive risk management files ensuring traceability and regulatory compliance.
Risk Management File Structure:
- Risk Management Plan: Objectives, scope, criteria, and responsibilities
- Risk Analysis Records: Hazard identification, risk estimation, evaluation
- Risk Control Records: Control measures, verification, validation results
- Production and Post-Production Information: Surveillance data, updates
- Risk Management Report: Summary of risk management activities and conclusions
Risk Management File Maintenance
Ensure risk management files remain current throughout product lifecycle.
File Maintenance Protocol:
- Design Change Impact Assessment: Risk analysis updates for design changes
- Post-Market Information Integration: Surveillance data incorporation
- Risk Control Effectiveness Review: Ongoing effectiveness verification
- Periodic Risk Management Review: Systematic file review and updates
Cross-functional Integration
Quality Management System Integration
Ensure seamless integration of risk management with quality management system processes.
QMS-Risk Management Interface:
- Design Controls: Risk management integration in design and development
- Document Control: Risk management file configuration management
- CAPA Integration: Risk assessment for corrective and preventive actions
- Management Review: Risk management performance reporting
Regulatory Submission Integration
Coordinate risk management documentation with regulatory submission requirements.
Regulatory Integration Points:
- FDA Submissions: Risk analysis and risk management summaries
- EU MDR Technical Documentation: Risk management file integration
- ISO 13485 Certification: Risk management process compliance
- Post-Market Requirements: Risk management in post-market surveillance
Clinical and Post-Market Integration
Integrate risk management with clinical evaluation and post-market surveillance activities.
Clinical-Risk Interface:
- Clinical Risk Assessment: Clinical data integration with risk analysis
- Clinical Investigation: Risk management in clinical study design
- Post-Market Surveillance: Risk signal detection and evaluation
- Clinical Evaluation Updates: Risk-benefit analysis integration
Resources
scripts/
risk-assessment-automation.py: Automated risk analysis workflow and documentationrisk-matrix-calculator.py: Risk estimation and evaluation automationrisk-control-tracker.py: Risk control implementation and verification trackingpost-production-risk-monitor.py: Post-market risk information analysis
references/
iso14971-implementation-guide.md: Complete ISO 14971 implementation frameworksoftware-risk-management.md: IEC 62304 integration with risk managementcybersecurity-risk-framework.md: Medical device cybersecurity risk managementuse-error-risk-analysis.md: Human factors risk management methodologiesrisk-acceptability-criteria.md: Risk acceptability frameworks and examples
assets/
risk-templates/: Risk management plan, risk analysis, and risk control templatesrisk-matrices/: Standardized risk estimation and evaluation matriceshazard-libraries/: Medical device hazard identification librariestraining-materials/: Risk management training and competency programs
How to use risk-management-specialist on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add risk-management-specialist
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches risk-management-specialist from GitHub repository davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate risk-management-specialist. Access the skill through slash commands (e.g., /risk-management-specialist) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★74 reviews- ★★★★★Lucas Agarwal· Dec 28, 2024
risk-management-specialist reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Neel Singh· Dec 28, 2024
risk-management-specialist is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Jin Shah· Dec 24, 2024
risk-management-specialist fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nikhil Mehta· Dec 16, 2024
I recommend risk-management-specialist for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Neel White· Dec 16, 2024
risk-management-specialist has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ganesh Mohane· Dec 8, 2024
risk-management-specialist reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Zaid Desai· Dec 4, 2024
Useful defaults in risk-management-specialist — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 27, 2024
I recommend risk-management-specialist for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Nikhil Malhotra· Nov 23, 2024
Registry listing for risk-management-specialist matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Huang· Nov 19, 2024
I recommend risk-management-specialist for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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