LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/fda-databaseContext preview
The summary Claude sees to decide when to auto-load this skill.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
name: fda-database
description: Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
license: Unknown
metadata:
skill-author: K-Dense Inc.Access comprehensive FDA regulatory data through openFDA, the FDA's initiative to provide open APIs for public datasets. Query information about drugs, medical devices, foods, animal/veterinary products, and substances using Python with standardized interfaces.
**Key capabilities:**
This skill should be used when working with:
from scripts.fda_query import FDAQuery
# Initialize (API key optional but recommended)
fda = FDAQuery(api_key="YOUR_API_KEY")
# Query drug adverse events
events = fda.query_drug_events("aspirin", limit=100)
# Get drug labeling
label = fda.query_drug_label("Lipitor", brand=True)
# Search device recalls
recalls = fda.query("device", "enforcement",
search="classification:Class+I",
limit=50)While the API works without a key, registering provides higher rate limits:
Register at: https://open.fda.gov/apis/authentication/
Set as environment variable:
export FDA_API_KEY="your_key_here"
# Run comprehensive examples python scripts/fda_examples.py # This demonstrates: # - Drug safety profiles # - Device surveillance # - Food recall monitoring # - Substance lookup # - Comparative drug analysis # - Veterinary drug analysis
Access 6 drug-related endpoints covering the full drug lifecycle from approval to post-market surveillance.
**Endpoints:** 1. **Adverse Events** - Reports of side effects, errors, and therapeutic failures 2. **Product Labeling** - Prescribing information, warnings, indications 3. **NDC Directory** - National Drug Code product information 4. **Enforcement Reports** - Drug recalls and safety actions 5. **Drugs@FDA** - Historical approval data since 1939 6. **Drug Shortages** - Current and resolved supply issues
**Common use cases:**
# Safety signal detection
fda.count_by_field("drug", "event",
search="patient.drug.medicinalproduct:metformin",
field="patient.reaction.reactionmeddrapt")
# Get prescribing information
label = fda.query_drug_label("Keytruda", brand=True)
# Check for recalls
recalls = fda.query_drug_recalls(drug_name="metformin")
# Monitor shortages
shortages = fda.query("drug", "drugshortages",
search="status:Currently+in+Shortage")**Reference:** See `references/drugs.md` for detailed documentation
Access 9 device-related endpoints covering medical device safety, approvals, and registrations.
**Endpoints:** 1. **Adverse Events** - Device malfunctions, injuries, deaths 2. **510(k) Clearances** - Premarket notifications 3. **Classification** - Device categories and risk classes 4. **Enforcement Reports** - Device recalls 5. **Recalls** - Detailed recall information 6. **PMA** - Premarket approval data for Class III devices 7. **Registrations & Listings** - Manufacturing facility data 8. **UDI** - Unique Device Identification database 9. **COVID-19 Serology** - Antibody test performance data
**Common use cases:**
# Monitor device safety
events = fda.query_device_events("pacemaker", limit=100)
# Look up device classification
classification = fda.query_device_classification("DQY")
# Find 510(k) clearances
clearances = fda.query_device_510k(applicant="Medtronic")
# Search by UDI
device_info = fda.query("device", "udi",
search="identifiers.id:00884838003019")**Reference:** See `references/devices.md` for detailed documentation
Access 2 food-related endpoints for safety monitoring and recalls.
**Endpoints:** 1. **Adverse Events** - Food, dietary supplement, and cosmetic events 2. **Enforcement Reports** - Food product recalls
**Common use cases:**
# Monitor allergen recalls
recalls = fda.query_food_recalls(reason="undeclared peanut")
# Track dietary supplement events
events = fda.query_food_events(
industry="Dietary Supplements")
# Find contamination recalls
listeria = fda.query_food_recalls(
reason="listeria",
classification="I")**Reference:** See `references/foods.md` for detailed documentation
Access veterinary drug adverse event data with species-specific information.
**Endpoint:** 1. **Adverse Events** - Animal drug side effects by species, breed, and product
**Common use cases:**
# Species-specific events dog_events = fda.query_animal_
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
Repo: foryourhealth111-pixel/Vibe-Skills
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding…
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection,…
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code,…
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the…
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex…