Environmental Scientists and Specialists, Including Health

Life, Physical, and Social Science Occupations · Job Skills & Competencies · SOC 19-2041 · 905 skills

Occupation context

These O*NET tasks describe the occupation. They provide context for this SOC mapping, but do not mean every listed Skill performs every task.

Communicate scientific or technical information to the public, organizations, or internal audiences through oral briefings, written documents, workshops, conferences, training sessions, or public hearings.
Monitor effects of pollution or land degradation and recommend means of prevention or control.
Collect, synthesize, analyze, manage, and report environmental data, such as pollution emission measurements, atmospheric monitoring measurements, meteorological or mineralogical information, or soil or water samples.

O*NET task statements are shown in their source language (English). Task data excerpted from the O*NET® 29.1 Database (USDOL/ETA) and used under CC BY 4.0.

Representative sources

A bounded sample of popular skills mapped to this occupation, with at most one Skill from each GitHub repository. The complete mapped list follows.

track-climate-hazards

koala73/worldmonitor

Retrieve climate-relevant disaster events, anomalies, and climate news. Use when the user asks about floods, cyclones, droughts, heatwaves, wildfires, or climate disruption.

brycewang-stanford/Auto-Empirical-Research-Skills

5 ecology & environmental science skills. Trigger: biodiversity surveys, species data, environmental monitoring. Design: field data collection, spatial analysis, and conservation biology workflows.

mvanhorn/printing-press-library

Use OpenAQ and AirNow source-backed recipes for air-quality snapshots, nearby monitors, sensor history, point comparison, and AirNow AQI setup/current observations. Trigger phrases: air quality, OpenAQ, AirNow, AQI, PM2.5, nearby monitor, air-quality-pp-cli.

consequence-modeler

a5c-ai/babysitter

Consequence analysis skill for dispersion modeling, fire/explosion analysis, and effect zone determination

All mapped skills

Browse the complete catalog mapping by repository popularity or latest source activity.

Skill names and descriptions remain in the language supplied by their source repository.

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track-climate-hazards

koala73/worldmonitor

Retrieve climate-relevant disaster events, anomalies, and climate news. Use when the user asks about floods, cyclones, droughts, heatwaves, wildfires, or climate disruption.

track-earthquakes

koala73/worldmonitor

Retrieve recent earthquakes (USGS) with magnitude, depth, location, and a concern score that flags proximity to nuclear test sites. Use when the user asks about recent seismic activity or whether an earthquake was natural.

brycewang-stanford/Auto-Empirical-Research-Skills

5 ecology & environmental science skills. Trigger: biodiversity surveys, species data, environmental monitoring. Design: field data collection, spatial analysis, and conservation biology workflows.

climate-modeling-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Climate simulation, modeling tools, and climate data analysis methods

mvanhorn/printing-press-library

Use OpenAQ and AirNow source-backed recipes for air-quality snapshots, nearby monitors, sensor history, point comparison, and AirNow AQI setup/current observations. Trigger phrases: air quality, OpenAQ, AirNow, AQI, PM2.5, nearby monitor, air-quality-pp-cli.

consequence-modeler

a5c-ai/babysitter

Consequence analysis skill for dispersion modeling, fire/explosion analysis, and effect zone determination

environmental-fate-modeler

a5c-ai/babysitter

Environmental nanosafety skill for modeling nanomaterial environmental fate and transport

iso-nanotechnology-compliance-checker

a5c-ai/babysitter

Regulatory compliance skill for ISO nanotechnology standards verification and documentation

gamma-phase-associator

benchflow-ai/skillsbench

An overview of the python package for running the GaMMA earthquake phase association algorithm. The algorithm expects phase picks data and station data as input and produces (through unsupervised clustering) earthquake events with source information like earthquake location, origin time and magnitude. The skill explains commonly used functions and the expected input/output format.

benchflow-ai/skillsbench

An overview of the core data API of ObsPy, a Python framework for processing seismological data. It is useful for parsing common seismological file formats, or manipulating custom data into standard objects for downstream use cases such as ObsPy's signal processing routines or SeisBench's modeling API.

seisbench-model-api

benchflow-ai/skillsbench

An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, for tasks like phase picking, earthquake detection, waveform denoising and depth estimation. For any waveform, you can manipulate it into an obspy stream object and it will work seamlessly with seisbench models.

seismic-picker-selection

benchflow-ai/skillsbench

This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand.