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regulatory-submission

Organize FDA or EMA regulatory submission materials into CTD Modules 1–5. Draft Module 2 summaries, check data integrity and ICH guideline alignment, identify gaps, and prepare dossier components such as cover letters and checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Prepare FDA/EMA regulatory submissions (IND/NDA/BLA/510(k)/PMA/MAA) in CTD format. Generate module outlines (Modules 1-5), run ICH compliance checks (ALCOA+, E6 GCP, Q1-Q12), verify data integrity, and produce submission-ready dossiers with cover letters and checklists.

연동 도구Google Cloud

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • FDA・EMA申請のCTD構成を整理したいとき
  • 申請資料の不足項目を洗い出したいとき
  • ICH指針とデータ完全性を点検したいとき
  • 申請書類の表紙文書やチェックリストを準備したいとき

포함된 파일(3)

  • SKILL.md3.8 KB
  • eval_report_regulatory-submission_result.json6.3 KB
  • POLISH_CHANGELOG.md666 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Source: https://github.com/aipoch/medical-research-skills

Regulatory Submission — FDA/EMA Dossier Structure

When to Use

  • Preparing FDA/EMA regulatory submissions (IND/NDA/BLA/510(k)/PMA/MAA)
  • The user mentions regulatory submission, FDA, EMA, IND, NDA, BLA, CTD, dossier, or regulatory affairs
  • Generating CTD module outlines and compliance checks for dossier assembly

Workflow

  1. Identify submission type — Input: product type, development stage, market (US/EU) → Output: submission type (IND/NDA/BLA/510(k)/PMA/MAA)
  2. Generate CTD outline — Map to Modules 1-5 with required sections → Output: CTD table of contents
  3. Populate Module 2 — Draft Quality Overall Summary, Nonclinical/Clinical Overviews → Output: Module 2 drafts
  4. Verify data integrity — Check ALCOA+ compliance across all modules → Output: integrity audit report
  5. Run compliance check — Verify against ICH guidelines (E6 GCP, Q1-Q12) → ⛔ Checkpoint: Review gaps with user, prioritize remediation → Output: compliance gap list
  6. Finalize dossier — Compile modules, generate cover letters, verify cross-references → Output: submission-ready package

If Data Incomplete

  • Missing CTD sections → generate "[DATA REQUIRED]" placeholders with expected data sources
  • ICH compliance gaps → classify critical/major/minor with remediation timeline
  • Product type ambiguous → ask user to clarify drug vs. biologic vs. device

Submission Types

FDA

TypePurposeKey Sections
INDInvestigational New DrugChemistry, pharmacology, toxicology, clinical protocol
NDANew Drug ApplicationFull CMC, nonclinical, clinical data
BLABiologics LicenseManufacturing, characterization, clinical
510(k)Device clearanceSubstantial equivalence, performance testing
PMADevice approvalClinical data, manufacturing

EMA: CTA | MAA | Scientific Advice

CTD Format

  • Module 1: Administrative (cover letters, forms, labeling)
  • Module 2: Summaries (quality, nonclinical, clinical overviews)
  • Module 3: Quality/CMC (drug substance, product, manufacturing)
  • Module 4: Nonclinical (pharmacology, PK, toxicology)
  • Module 5: Clinical (study reports, literature)

Key Principles

  • Follow ICH guidelines (E6 GCP, Q1-Q12)
  • Data integrity: ALCOA+ (Attributable, Legible, Contemporaneous, Original, Accurate)
  • Risk-based approach: prioritize critical quality attributes

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If execution fails, report the failure point, summarize what can still be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of regulatory-submission and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

regulatory-submission only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

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Condense an academic paper into a structured abstract of up to 250 words, organized by background, objective, methods, results, and conclusion. It aims to retain key quantitative findings and supports papers from several research fields; figures and charts are not interpreted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating a concise abstract from a research paper
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Cutting an abstract to meet a journal word limit
  • Preparing a conference abstract with a strict word count
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Refines long medical drafts, reports, or literature notes into formal, single-paragraph Chinese and English abstracts in an SCI journal style. It can place both abstracts in a Markdown report while keeping claims grounded in the source text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Condensing a medical study report into bilingual abstracts
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Creates three to five concise English Highlights for journal submission from manuscript text or supported files. It adapts bullets to the article type, keeps each within 85 characters, and grounds every claim in the supplied source without inventing results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Draft journal Highlights from an abstract or manuscript
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing drug classes within one adverse event area
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Compare predicted ADME profiles for small-molecule candidates
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