auto-target-tracker

To automatically log target progress from images into a daily diary, you can send target-related photos like screenshots or notes to this Skill. It uses VLM prompts to detect images, parse tasks, and calls edit_daily to store extracted metrics locally.

Yes, you can use image recognition for tracking fitness and learning habits from your photos. The system detects target-related elements in the images you share, extracts progress data, and records it for multi-scenario personal management.

The best way to extract tasks and metrics from progress screenshots automatically is by sharing the images in the conversation. The VLM analyzes the photos to parse progress and metrics, then logs the structured results into a local daily target diary.

No, the target tracker does not require any external dependencies to record daily logs locally. It operates independently using built-in VLM prompts to process images and the edit_daily function to store your extracted progress data.

VLM image detection for personal management and habit tracking works by applying prompts to identify target-related elements in your shared photos. It automatically parses tasks, progress, and metrics, then provides feedback while recording results to your daily diary.