This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Medical device risk management specialist implementing ISO 14971 throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
ISO 14971:2019 risk management implementation throughout the medical device lifecycle — planning, hazard analysis, risk evaluation, risk control, residual-risk assessment, and post-production monitoring — extended for AI/ML, cybersecurity (IEC 81001-5-1), supply chain, and cross-framework alignment (NIST CSF, DORA, NIS2).
Before running the risk assessment, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
# ISO 14971 risk level (probability × severity, 1-5 each)
python scripts/risk_matrix_calculator.py --probability 3 --severity 4
# FMEA Risk Priority Number (severity / occurrence / detection, 1-10 each)
python scripts/risk_matrix_calculator.py --fmea --severity 8 --occurrence 4 --detection 3
# Guided interactive assessment, or list the full criteria scales
python scripts/risk_matrix_calculator.py --interactive
python scripts/risk_matrix_calculator.py --list-criteria
Load the reference that matches the task — keep this file lean and pull detail on demand:
risk_matrix_calculator.py flag reference, troubleshooting table, and success criteria. Read when documenting assessments or diagnosing tool issues.In Scope:
Out of Scope:
| Skill | Integration |
|---|---|
| quality-manager-qms-iso13485 | Risk management (Clause 7.1) integrates with QMS product realization planning; risk file is part of the Design History File |
| capa-officer | Post-market risk signals may trigger CAPA; CAPA root cause analysis methods (FMEA, FTA) overlap with risk analysis techniques |
| regulatory-affairs-head | Risk management file is required for FDA submissions and EU MDR Technical Documentation; benefit-risk analysis supports clinical evaluation |
| quality-documentation-manager | Risk management file and records must be controlled per document control procedures (Clause 4.2) |
| fda-consultant-specialist | FDA cybersecurity guidance (2025 update) requires integration of security risks into ISO 14971 processes for premarket submissions |
| infrastructure-compliance-auditor | Technical security controls validated by the infrastructure auditor serve as risk mitigations for cybersecurity threats in the risk assessment |
| nist-csf-specialist | NIST CSF risk assessment (ID.RA) maps to ISO 14971 hazard identification and risk estimation; unified risk register possible |
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.