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Get Started Free →Senior Regulatory Affairs Manager for HealthTech and MedTech. Use for regulatory strategy, FDA 510(k)/PMA/De Novo submissions, EU MDR CE marking, global market access, and regulatory intelligence.
.claude/skills/borghei-regulatory-affairs-head/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 174% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 232% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 204% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 192% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 239% | 0% |
Regulatory strategy development, submission management, and global market access for medical device organizations.
Before developing the regulatory strategy, 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 strategy.
The agent develops regulatory strategy aligned with business objectives and product characteristics.
| Factor | 510(k) | De Novo | PMA | |--------|--------|---------|-----| | Predicate Available | Yes | No | N/A | | Risk Level | Low-Moderate | Low-Moderate | High | | Clinical Data | Usually not required | May be required | Required | | Review Time | 90 days (MDUFA) | 150 days | 180 days | | User Fee | ~$22K (2024) | ~$135K | ~$440K | | Best For | Me-too devices | Novel low-risk | High-risk, novel |
REGULATORY STRATEGY
Product: CardioSense Wearable ECG Monitor
Version: 1.0
Date: 2026-03-12
1. PRODUCT OVERVIEW
- Intended use: Continuous ECG monitoring for arrhythmia detection
- Device classification: Class II (FDA), Class IIa (EU MDR)
- Technology: Single-lead ECG with ML-based AF detection
2. TARGET MARKETS
| Market | Priority | Timeline |
|--------|----------|-------------|
| USA | 1 | Q3 2026 |
| EU | 2 | Q1 2027 |
| Canada | 3 | Q2 2027 |
3. REGULATORY PATHWAY
- FDA: 510(k) — Predicate: AliveCor KardiaMobile (K142743)
- EU: Class IIa via Annex IX (QMS) + Annex XI Part A (Product)
- Rationale: Established predicate supports SE argument;
MDR IIa classification per Rule 10 (active diagnostic)
4. CLINICAL EVIDENCE STRATEGY
- Requirements: SE comparison + analytical performance data
- Approach: Literature review for AF detection + bench study
5. RISKS AND MITIGATION
| Risk | Probability | Impact | Mitigation |
|--------------------------|-------------|--------|-------------------------------|
| FDA requests clinical | Medium | High | Pre-Sub meeting to align |
| NB capacity delay | High | Medium | Engage NB by Q4 2025 |
| ML algorithm as SaMD | Medium | High | Follow FDA AI/ML SaMD guidance|The agent prepares and submits FDA regulatory applications following established pathways.
| Milestone | 510(k) | De Novo | PMA | |-----------|--------|---------|-----| | Pre-Sub Meeting | Day -90 | Day -90 | Day -120 | | Submission | Day 0 | Day 0 | Day 0 | | RTA Review | Day 15 | Day 15 | Day 45 | | Substantive Review | Days 15-90 | Days 15-150 | Days 45-180 | | Decision | Day 90 | Day 150 | Day 180 |
| Category | Common Issues | Prevention | |----------|---------------|------------| | Substantial Equivalence | Weak predicate comparison | Strong SE argument upfront | | Performance Testing | Incomplete test protocols | Follow recognized standards | | Biocompatibility | Missing endpoints | ISO 10993 risk assessment | | Software | Inadequate documentation | IEC 62304 compliance | | Labeling | Inconsistent claims | Early labeling review |
See: references/fda-submission-guide.md
The agent achieves CE marking under EU MDR 2017/745.
| Class | Clinical Requirement | Documentation | |-------|---------------------|---------------| | I | Clinical evaluation (CE) | CE report | | IIa | CE with literature focus | CE report + PMCF plan | | IIb | CE with clinical data | CE report + PMCF + clinical study (some) | | III | CE with clinical investigation | CE report + PMCF + clinical investigation |
| Criterion | Consideration | |-----------|---------------| | Scope | Device category expertise | | Capacity | Availability and review timeline | | Experience | Track record in your technology | | Geography | Proximity for audits | | Cost | Fee structure transparency | | Communication | Responsiveness and clarity |
See: references/eu-mdr-submission-guide.md
The agent coordinates regulatory approvals across international markets.
| Market | Size | Complexity | Recognition | Priority | |--------|------|------------|-------------|----------| | USA | Large | High | N/A | 1 | | EU | Large | High | N/A | 1-2 | | Canada | Medium | Medium | MDSAP | 2 | | Australia | Medium | Low | EU accepted | 2 | | Japan | Large | High | Local clinical | 3 | | China | Large | Very High | Local testing | 3 | | Brazil | Medium | High | GMP inspection | 3-4 |
See: references/global-regulatory-pathways.md
The agent monitors and responds to regulatory changes affecting the product portfolio.
| Source | Type | Frequency | |--------|------|-----------| | FDA Federal Register | Regulations, guidance | Daily | | FDA Device Database | 510(k), PMA, recalls | Weekly | | EU Official Journal | MDR/IVDR updates | Weekly | | MDCG Guidance | EU implementation | As published | | ISO/IEC | Standards updates | Quarterly | | Notified Body | Audit findings, trends | Per interaction |
Is predicate device available?
|
Yes-+-No
| |
v v
Is device Is risk level
substantially Low-Moderate?
equivalent? |
| Yes-+-No
Yes-+-No | |
| | v v
v v De Novo PMA
510(k) Consider required
De Novo
or PMA| Factor | Schedule Pre-Sub | Skip Pre-Sub | |--------|------------------|--------------| | Novel Technology | Yes | | | New Intended Use | Yes | | | Complex Testing | Yes | | | Uncertain Predicate | Yes | | | Clinical Data Needed | Yes | | | Well-established | | Yes | | Clear Predicate | | Yes | | Standard Testing | | Yes |
| Situation | Escalation Level | Action | |-----------|------------------|--------| | Submission rejection | VP Regulatory | Root cause analysis, strategy revision | | Major deficiency | Director | Cross-functional response team | | Timeline at risk | Management | Resource reallocation review | | Regulatory change | VP Regulatory | Portfolio impact assessment | | Safety signal | Executive | Immediate containment and reporting |
| Tool | Purpose | Usage | |------|---------|-------| | regulatory_tracker.py | Track submission status and timelines | python regulatory_tracker.py --help |
bash# Example: Track active submissions python scripts/regulatory_tracker.py --status active --format markdown # Example: Check overdue submissions python scripts/regulatory_tracker.py --overdue --notify
| Document | Content | |----------|---------| | fda-submission-guide.md | FDA pathways, requirements, review process | | eu-mdr-submission-guide.md | MDR classification, technical documentation, clinical evidence | | global-regulatory-pathways.md | Canada, Japan, China, Australia, Brazil requirements | | iso-regulatory-requirements.md | ISO 13485, 14971, 10993, IEC 62304, 62366 requirements |
| KPI | Target | Calculation | |-----|--------|-------------| | First-time approval rate | >85% | (Approved without major deficiency / Total submitted) x 100 | | On-time submission | >90% | (Submitted by target date / Total submissions) x 100 | | Review cycle compliance | >95% | (Responses within deadline / Total requests) x 100 | | Regulatory hold time | <20% | (Days on hold / Total review days) x 100 |
| Skill | Integration Point | |-------|-------------------| | mdr-745-specialist | Detailed EU MDR technical requirements | | fda-consultant-specialist | FDA submission deep expertise | | quality-manager-qms-iso13485 | QMS for regulatory compliance | | risk-management-specialist | ISO 14971 risk management |
| Problem | Likely Cause | Resolution | |---------|-------------|------------| | Regulatory tracker shows "No existing data file found" | Data file does not exist at the expected path | Create an initial submissions JSON file or use the tracker to add a first submission. The tool creates the file on first save. | | Submission status shows as PLANNING when it should be SUBMITTED | Status not updated after submission | Update the submission record with submission_status: SUBMITTED and submission_date. The tracker does not auto-detect FDA ESG submission status. | | Overdue notification fires for approved submission | actual_approval_date field not populated | Update the record with the actual approval date. The tracker compares target_approval_date against today when actual_approval_date is null. | | 510(k) pathway selected but clinical data still needed | Novel technology or uncertain predicate | Schedule a Pre-Submission (Q-Sub) meeting with FDA. Novel technologies or complex testing may require clinical evidence even under the 510(k) pathway. | | Notified Body timeline exceeds plan | NB capacity constraints (common in 2025-2026) | Engage the NB as early as possible (6+ months before target submission). The number of designated MDR NBs has grown to ~50 as of 2024, but capacity remains tight for complex device classes. | | EUDAMED registration blocked | EUDAMED modules not yet mandatory or data upload issues | Develop a secure process for uploading device data into EUDAMED. Certain modules become mandatory in 2026. Prepare data structures proactively. | | Multi-market submission timeline keeps slipping | Sequential submissions creating cascading delays | Where possible, shift to parallel submission strategy. Use FDA + EU as reference markets and leverage MDSAP for recognition markets (Canada, Australia, Japan, Brazil). |
In Scope:
Out of Scope:
| Skill | Integration | |-------|------------| | mdr-745-specialist | Detailed EU MDR technical requirements, GSPR checklists, Annex VIII classification rules, and EUDAMED registration | | fda-consultant-specialist | FDA submission deep expertise including QMSR alignment, HIPAA, cybersecurity guidance, and 510(k)/PMA specifics | | quality-manager-qms-iso13485 | QMS certification is a prerequisite for MDR conformity assessment and supports FDA QMSR compliance | | risk-management-specialist | ISO 14971 risk management file is required for both FDA submissions and EU MDR Technical Documentation | | quality-manager-qmr | Regulatory changes affecting the QMS are management review inputs; QMR coordinates compliance across jurisdictions |
Tracks regulatory submission status, timelines, and overdue notifications across all markets.
| Flag | Required | Description | |------|----------|-------------| | --status | No | Filter submissions by status: active, planning, submitted, approved, all | | --overdue | No | Show only submissions past their target approval date without an actual approval date | | --notify | No | Generate notification alerts for overdue or at-risk submissions | | --format | No | Output format: markdown for formatted text, omit for default display |
Note: The tracker operates on a regulatory_submissions.json data file (default path). Submissions are added and updated programmatically through the RegulatoryTracker class API. The tool supports submission types: FDA_510K, FDA_PMA, FDA_DE_NOVO, EU_MDR_CE, ISO_CERTIFICATION, GLOBAL_REGULATORY.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 35,111 | 36,834 | +5% | 1 | 1 | 0% | 5,537 | 11,177 | +102% | 0 | 0 | — |
case-02 | fail→fail | 29,368 | 30,993 | +6% | 1 | 1 | 0% | 4,728 | 9,998 | +111% | 0 | 0 | — |
case-03 | fail→fail | 23,079 | 31,100 | +35% | 1 | 1 | 0% | 3,608 | 9,881 | +174% | 0 | 0 | — |
case-04 | fail→pass | 17,922 | 19,224 | +7% | 1 | 1 | 0% | 2,870 | 7,869 | +174% | 0 | 0 | — |
case-05 | pass→pass | 11,417 | 12,778 | +12% | 1 | 1 | 0% | 1,939 | 7,203 | +271% | 0 | 0 | — |
case-06 | fail→pass | 13,644 | 15,253 | +12% | 1 | 1 | 0% | 2,220 | 7,381 | +232% | 0 | 0 | — |
case-07 | pass→pass | 11,276 | 13,394 | +19% | 1 | 1 | 0% | 1,844 | 7,098 | +285% | 0 | 0 | — |
case-08 | pass→pass | 20,971 | 18,700 | -11% | 1 | 1 | 0% | 2,916 | 8,067 | +177% | 0 | 0 | — |
case-09 | pass→pass | 21,361 | 23,493 | +10% | 1 | 1 | 0% | 3,262 | 8,738 | +168% | 0 | 0 | — |
case-10 | pass→pass | 9,306 | 9,782 | +5% | 1 | 1 | 0% | 1,489 | 6,532 | +339% | 0 | 0 | — |
case-11 | pass→pass | 14,315 | 11,542 | -19% | 1 | 1 | 0% | 2,323 | 6,830 | +194% | 0 | 0 | — |
case-12 | pass→pass | 9,146 | 11,348 | +24% | 1 | 1 | 0% | 1,498 | 6,847 | +357% | 0 | 0 | — |
case-13 | pass→pass | 8,128 | 2,863 | -65% | 1 | 1 | 0% | 1,381 | 5,400 | +291% | 0 | 0 | — |
case-14 | fail→pass | 15,031 | 12,934 | -14% | 1 | 1 | 0% | 2,307 | 7,016 | +204% | 0 | 0 | — |
case-15 | fail→pass | 12,563 | 5,749 | -54% | 1 | 1 | 0% | 2,024 | 5,908 | +192% | 0 | 0 | — |
case-16 | pass→pass | 11,280 | 3,519 | -69% | 1 | 1 | 0% | 1,655 | 5,558 | +236% | 0 | 0 | — |
case-17 | pass→pass | 12,651 | 12,858 | +2% | 1 | 1 | 0% | 2,092 | 7,018 | +235% | 0 | 0 | — |
case-18 | fail→pass | 12,442 | 7,271 | -42% | 1 | 1 | 0% | 1,810 | 6,132 | +239% | 0 | 0 | — |
case-19 | pass→pass | 6,636 | 4,058 | -39% | 1 | 1 | 0% | 1,027 | 5,551 | +441% | 0 | 0 | — |
case-20 | fail→fail | 16,770 | 29,713 | +77% | 1 | 1 | 0% | 3,129 | 11,177 | +257% | 0 | 0 | — |
case-21 | fail→fail | 34,880 | 35,273 | +1% | 1 | 1 | 0% | 6,010 | 11,175 | +86% | 0 | 0 | — |
case-22 | fail→fail | 34,803 | 23,534 | -32% | 1 | 1 | 0% | 6,039 | 8,603 | +42% | 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 +23 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.