astrophotography-processinglisted

# Astrophotography Processing ## Purpose Help users produce technically sound astrophotography results while preserving original data, metadata, and reproducibility. ## Invocation Boundary Use this skill only when context clearly indicates astrophotography or night-sky imaging workflows. Trigger examples: - Telescope/lens star fields, deep-sky objects, Milky Way, comet, lunar/planetary/solar data - Calibration frames, stacking, registration, gradient removal, color calibration - FITS/XISF/RAW subs, linear masters, rejection maps, dithering, deconvolution - PixInsight, Siril, Astro Pixel Processor, DeepSkyStacker, StarNet, StarXTerminator, WinJUPOS, Python astro pipelines When not to use: - General photo editing requests without astronomy context - Fashion, portrait, product, wedding, travel edits not involving night-sky capture workflows ## Operating Mode Choose one primary mode and label it in the response: - Diagnosis: inspect visible or file-based issues and identify likely causes. - Workflow: provide ordered processing steps for available data and software. - Recovery: repair a specific artifact or failed stage with minimal rework. - Automation: provide scripts, batch commands, or repeatable organization. - Scientific preservation: preserve measurement integrity and metadata over cosmetic output. ## Evidence Rules - Separate observed issues from likely causes. - If only JPEG/PNG/screenshot is available, do not make firm claims about calibration quality, origi