home / skills / a5c-ai / babysitter / fda-510k-submission-generator
This skill automates FDA 510(k) submission preparation by generating predicate comparisons, equivalence arguments, and policy-compliant device documentation
npx playbooks add skill a5c-ai/babysitter --skill fda-510k-submission-generatorReview the files below or copy the command above to add this skill to your agents.
---
name: fda-510k-submission-generator
description: Automated 510(k) premarket notification preparation for generating submission packages, predicate device comparisons, and substantial equivalence arguments
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- Bash
metadata:
specialization: biomedical-engineering
domain: science
category: Regulatory Compliance
skill-id: BME-SK-001
---
# FDA 510(k) Submission Generator Skill
## Purpose
The FDA 510(k) Submission Generator Skill automates the preparation of 510(k) premarket notifications for medical devices. It streamlines the creation of submission packages, predicate device comparisons, and substantial equivalence arguments to support regulatory clearance.
## Capabilities
- Predicate device database search and comparison
- Substantial equivalence argument drafting
- Device description template generation
- Performance data tabulation
- eCopy package structure validation
- FDA eSTAR form population assistance
- Indications for use statement generation
- Biocompatibility summary generation
- Software documentation compilation (if applicable)
- Performance testing summary tables
- Labeling content review assistance
## Usage Guidelines
### When to Use
- Preparing FDA 510(k) premarket notification submissions
- Identifying and comparing predicate devices
- Documenting substantial equivalence arguments
- Compiling regulatory submission packages
### Prerequisites
- Device design documentation completed
- Performance testing data available
- Predicate device research conducted
- Biocompatibility data compiled
### Best Practices
- Verify predicate device selection with regulatory team
- Ensure all performance data supports substantial equivalence
- Cross-reference with current FDA guidance documents
- Validate submission format against FDA requirements
## Process Integration
This skill integrates with the following processes:
- 510(k) Premarket Submission Preparation
- EU MDR Technical Documentation
- Post-Market Surveillance System Implementation
- Design Control Process Implementation
## Dependencies
- FDA GUDID API
- FDA 510(k) Database
- eSTAR templates
- CDRH guidance documents
- Product code database
## Configuration
```yaml
fda-510k-submission-generator:
submission-types:
- traditional
- abbreviated
- special
device-classes:
- Class I
- Class II
output-formats:
- eCopy
- eSTAR
sections:
- cover-letter
- device-description
- substantial-equivalence
- performance-data
- labeling
```
## Output Artifacts
- Complete 510(k) submission package
- Predicate device comparison tables
- Substantial equivalence arguments
- Device description documents
- Performance data summaries
- Labeling drafts
- eCopy file structure
## Quality Criteria
- Submission follows current FDA format requirements
- Predicate device selection is well-justified
- Substantial equivalence arguments are comprehensive
- All required sections are complete and accurate
- Performance data supports claimed equivalence
- Documentation suitable for FDA review
This skill automates preparation of FDA 510(k) premarket notification packages to accelerate regulatory submission readiness. It generates predicate device comparisons, drafts substantial equivalence arguments, and produces structured output like eCopy and eSTAR-friendly artifacts. The focus is on consistent, review-ready documents that align with FDA formatting and common guidance.
The skill ingests device design details, performance test results, labeling, and predicate research to populate section templates and comparison tables. It performs predicate device matching against public databases, drafts substantial equivalence rationale, and validates eCopy package structure and eSTAR form fields. Outputs include device descriptions, performance summaries, labeling drafts, and exportable submission bundles.
Does this skill file to the FDA automatically?
No. It generates submission-ready artifacts and validates formats but does not perform electronic filing. Final review and submission must be done by your team.
What inputs are required to produce a complete package?
Essential inputs include device description, performance test data, biocompatibility results, labeling drafts, and predicate device research. More complete inputs produce higher-quality drafts.