Superpicky Cliv0.2.0

Use SuperPicky CLI to automatically cull bird photos from a folder by applying AI-based quality scoring, star ratings, and optional bird species identification. The main pipeline (superpicky_cli.py) processes images in batch, resetting or re-running as needed.

Run the standalone BirdID entry (via run.sh --birdid) to batch identify bird species in photos, then organize them into folders by species. This helps ornithologists, birdwatchers, and researchers quickly sort large collections.

Use the --region-query entry to fuzzy-match place names to eBird country and region codes, enabling geolocation-based filtering during culling or identification. This ensures that only birds from specific regions are considered.

Set up cron jobs to run the SuperPicky CLI with absolute paths for fully automated nightly culling of new photo folders. The automation uses the run.sh script with environment variables to ensure consistent execution from any working directory.

Use the --py helper to run custom Python scripts (e.g., download_models.py) with the skill's virtual environment. This is useful for updating AI models or executing auxiliary tasks without manually activating the venv.

Offer a basic free CLI tool for personal bird photo culling, with premium features like advanced BirdID, region-specific filters, and priority support via paid subscription.

License the full SuperPicky skill package to organizations that need to process thousands of bird photos daily, including custom integration, dedicated support, and SLA guarantees.

Offer aggregated, anonymized bird sighting data (species, locations, timestamps) extracted via the CLI tool to scientists, conservation groups, and eBird. Revenue from dataset subscriptions or per-query fees.