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ssw-plugin
ssw-plugin에는 tykimos에서 수집한 skills 4개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Solar observation data downloader for SDO, STEREO, and Solar Orbiter missions. Use when Claude needs to: (1) download SDO/AIA EUV data from JSOC, (2) download STEREO/SECCHI/EUVI data, (3) download Solar Orbiter/EUI/FSI data, (4) create multi-date time series of solar observations, (5) pair multi-wavelength observations. Triggers: 'solar data download', 'SDO download', 'AIA data', 'STEREO data', 'Solar Orbiter data', 'FITS download', 'sun observation data', 'EUI data', 'EUVI data', '태양 데이터 다운로드', '태양 관측 데이터'
Machine learning for solar physics using preprocessed SSW data. Use when Claude needs to: (1) train deep learning models on solar EUV images, (2) build solar flare prediction models, (3) perform image-to-image translation between solar instruments, (4) detect/segment coronal holes or active regions, (5) create PyTorch/TensorFlow dataloaders for FITS files, (6) evaluate ML models on solar observation data. Triggers: 'solar ML', 'solar deep learning', 'flare prediction', 'coronal hole detection', 'instrument translation', 'solar image segmentation', 'FITS dataloader', 'solar neural network', '태양 ML', '태양 딥러닝', '플레어 예측', 'solar AI'
SDO/AIA solar data ML preprocessing pipeline. Use when Claude needs to: (1) preprocess AIA Level 1 FITS data for machine learning, (2) calibrate solar images (pointing, degradation, exposure), (3) register and normalize solar disk images, (4) batch convert raw FITS to ML-ready format, (5) standardize solar observation data for neural network training. Triggers: 'AIA preprocessing', 'solar data prep', 'FITS preprocessing', 'aia_prep_ml', 'ML-ready solar data', 'calibrate AIA', 'solar image registration', '태양 데이터 전처리', 'AIA 보정', 'ML 전처리'
Solar observation data visualization for EUV imagery, ML results, and analysis. Use when Claude needs to: (1) display solar EUV images from FITS files, (2) create multi-wavelength comparison panels, (3) make before/after preprocessing comparisons, (4) visualize ML model predictions on solar data, (5) create solar time-lapse animations, (6) plot intensity distributions of solar images. Triggers: 'solar visualization', 'solar image display', 'FITS visualization', 'EUV image plot', 'multi-wavelength comparison', 'solar animation', 'sun image', '태양 이미지 시각화', '태양 시각화', 'solar plot'