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Skillfully - The future of skills based hiring
Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
...Features
Multi-instrument Support: Process both MIRI and NIRCam data
Background Matching: Automatic background leveling across exposures
Cosmic Ray Rejection: Advanced cosmic ray identification and removal
Seamless Mosaicking: Create continuous field mosaics from dithered observations
Source Extraction: Generate segmentation maps and source catalogs
Calibration-ready: Works with JWST pipeline products (_cal.fits, _rate.fits)
Memory Efficient: Handles large JWST datasets efficiently
Installation
Prerequisites
Python 3.8 or higher
JWST calibration pipeline
4GB+ RAM recommended for large mosaics
Quick Install
git clone https://github.com/tlcagford/JWST-Merge
cd JWST-Merge
pip install -r requirements.txt