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".
日本語の概要は準備中です。原文の説明を表示しています。
Medical device risk management specialist implementing ISO 14971 throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the risk register.
# 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 |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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".
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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."
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。