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Found 2 Skills
Extract and interpret embedded metadata from files. Use when analyzing EXIF/GPS data in photos, checking a document's author or software, reading camera model or timestamps, or investigating file provenance from images, PDFs, or Office docs.
Determine where a photo was taken (photo location guessing / internet sleuthing / GeoGuessr-style play / infer capture time). Given one or several photos, a single command first performs metadata, OCR, and reverse image search (`intake.py`), records clues and candidates on the candidate board (`board.py`) for script ranking and next-step suggestions; lookup-table clues use `clues.py`; satellite and street view both follow the principle that the machine ranks first and humans only look at the top hits (`sat_scan.py`, `match.py`); every conclusion is checked against real data and output with coordinates + error radius, evidence montage, and tiered confidence. Geolocate or chronolocate a photo with tool-verified reasoning — EXIF, OCR, reverse image search (Baidu/Yandex), lookup tables (plates, area codes, calling codes, driving side, territories), candidate board with likelihood ranking, sun and shadow math, OSM Overpass, CLIP-ranked satellite scan, DINOv2+SIFT-ranked street view matching, DEM skyline rendering. Use when the user shares a photo and asks where this is / where it was taken / help me geolocate this photo / internet-sleuth this / what time this was taken / where was this taken / geolocate this.