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Get Started Free →EU MDR 2017/745 regulation specialist and consultant for medical device requirement management. Provides comprehensive MDR compliance expertise, gap analysis, technical documentation guidance, clinical evidence requirements, and post-market surveillance implementation. Use for MDR compliance assessment, classification decisions, technical file preparation, and regulatory requirement interpretation.
.claude/skills/davila7-mdr-745-specialist/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 71% | 0% |
| case-20 | ✗→✓ | ▲ Improved | 57% | 0% |
| case-03 | ✓→✓ | = Same ✓ | 62% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 62% | 0% |
Expert-level EU MDR 2017/745 compliance specialist with comprehensive knowledge of medical device regulation requirements, technical documentation, clinical evidence, and post-market surveillance obligations.
Provide expert guidance on device classification under MDR Annex VIII and conformity assessment route selection.
Classification Decision Framework:
Ensure comprehensive technical file preparation meeting all MDR documentation requirements.
Technical Documentation Structure:
ANNEX II TECHNICAL DOCUMENTATION
├── General Information
│ ├── Device identification and UDI-DI
│ ├── Manufacturer and authorized representative info
│ ├── Intended purpose and clinical condition
│ └── Device description and variants
├── Information to be Supplied by Manufacturer
│ ├── Label and instructions for use
│ ├── Clinical evaluation and post-market clinical follow-up
│ ├── Risk management documentation
│ └── Product verification and validation
├── Design and Manufacturing Information
│ ├── Quality management system documentation
│ ├── Design and development process
│ ├── Manufacturing process description
│ └── Identification and traceability procedures
└── General Safety and Performance Requirements
├── Solutions adopted for GSPR compliance
├── Benefit-risk analysis and risk management
├── Product lifecycle and post-market surveillance
└── Clinical evidence and evaluationManage comprehensive clinical evidence strategies ensuring MDR compliance and scientific rigor.
Clinical Evidence Pathway Selection:
Implement comprehensive Unique Device Identification system meeting MDR requirements and EUDAMED integration.
UDI Implementation Workflow:
Conduct systematic gap assessments against current MDR requirements and develop comprehensive transition strategies.
Gap Analysis Framework:
Establish robust post-market surveillance systems meeting MDR requirements for continuous safety monitoring.
PMS System Components:
Ensure compliance with expanded economic operator responsibilities under MDR.
Key Obligations Management:
Provide strategic guidance on Notified Body selection and relationship management throughout the conformity assessment process.
Notified Body Engagement Strategy:
Coordinate Notified Body audits and assessments ensuring successful outcomes and certificate maintenance.
Audit Preparation Protocol:
Maintain current awareness of evolving MDR guidance and regulatory expectations.
Guidance Tracking System:
mdr-gap-analysis.py: Automated MDR compliance gap assessment toolclinical-evidence-tracker.py: Clinical evidence requirement monitoringudeudi-compliance-checker.py: UDI and EUDAMED compliance verificationpms-reporting-automation.py: Post-market surveillance report generationmdr-classification-guide.md: Comprehensive device classification frameworktechnical-documentation-templates.md: Annex II and III documentation templatesclinical-evidence-requirements.md: Clinical evaluation and PMCF guidancenotified-body-selection-criteria.md: NB evaluation and selection frameworkmdcg-guidance-library.md: Current MDCG guidance compilationmdr-templates/: Technical file, clinical evaluation, and PMS plan templatesgap-analysis-checklists/: MDR compliance assessment toolseudamed-forms/: EUDAMED registration and reporting templatestraining-materials/: MDR training presentations and compliance guides| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 22,869 | 29,197 | +28% | 1 | 1 | 0% | 4,310 | 7,096 | +65% | 0 | 0 | — |
case-02 | fail→pass | 27,055 | 24,161 | -11% | 1 | 1 | 0% | 6,079 | 6,945 | +14% | 0 | 0 | — |
case-03 | pass→pass | 22,092 | 26,350 | +19% | 1 | 1 | 0% | 3,811 | 6,182 | +62% | 0 | 0 | — |
case-04 | fail→fail | 19,055 | 24,039 | +26% | 1 | 1 | 0% | 3,312 | 5,929 | +79% | 0 | 0 | — |
case-05 | pass→pass | 20,693 | 27,200 | +31% | 1 | 1 | 0% | 3,774 | 6,116 | +62% | 0 | 0 | — |
case-06 | fail→fail | 12,338 | 14,255 | +16% | 1 | 1 | 0% | 2,201 | 4,210 | +91% | 0 | 0 | — |
case-07 | fail→fail | 12,056 | 15,328 | +27% | 1 | 1 | 0% | 2,233 | 4,170 | +87% | 0 | 0 | — |
case-08 | pass→pass | 16,918 | 13,987 | -17% | 1 | 1 | 0% | 3,207 | 4,141 | +29% | 0 | 0 | — |
case-09 | pass→pass | 12,980 | 16,785 | +29% | 1 | 1 | 0% | 2,496 | 4,749 | +90% | 0 | 0 | — |
case-10 | pass→pass | 13,209 | 17,963 | +36% | 1 | 1 | 0% | 2,683 | 4,973 | +85% | 0 | 0 | — |
case-11 | pass→pass | 13,370 | 16,465 | +23% | 1 | 1 | 0% | 2,694 | 4,831 | +79% | 0 | 0 | — |
case-12 | pass→pass | 12,814 | 12,869 | +0% | 1 | 1 | 0% | 2,633 | 4,129 | +57% | 0 | 0 | — |
case-13 | pass→pass | 11,543 | 9,065 | -21% | 1 | 1 | 0% | 2,359 | 3,370 | +43% | 0 | 0 | — |
case-14 | pass→pass | 13,845 | 14,796 | +7% | 1 | 1 | 0% | 2,448 | 4,317 | +76% | 0 | 0 | — |
case-15 | pass→pass | 12,846 | 15,756 | +23% | 1 | 1 | 0% | 2,387 | 4,287 | +80% | 0 | 0 | — |
case-16 | pass→pass | 16,559 | 17,916 | +8% | 1 | 1 | 0% | 3,116 | 4,928 | +58% | 0 | 0 | — |
case-17 | fail→pass | 16,473 | 18,836 | +14% | 1 | 1 | 0% | 3,054 | 5,211 | +71% | 0 | 0 | — |
case-18 | fail→fail | 11,102 | 9,740 | -12% | 1 | 1 | 0% | 2,008 | 3,659 | +82% | 0 | 0 | — |
case-19 | fail→fail | 7,569 | 7,386 | -2% | 1 | 1 | 0% | 1,321 | 3,171 | +140% | 0 | 0 | — |
case-20 | fail→pass | 12,010 | 10,606 | -12% | 1 | 1 | 0% | 2,299 | 3,607 | +57% | 0 | 0 | — |
case-21 | pass→pass | 15,072 | 10,771 | -29% | 1 | 1 | 0% | 2,798 | 3,764 | +35% | 0 | 0 | — |
case-22 | pass→pass | 12,444 | 16,036 | +29% | 1 | 1 | 0% | 2,484 | 4,855 | +95% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +14 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.