What problem does it solve?
Manually tracking goal progress from photos, screenshots, or handwritten notes is tedious, easy to forget, and often inconsistent, leading to incomplete progress records and lack of visibility into goal achievement trends.
Core Features & Use Cases
- VLM-Powered Image Recognition: Automatically extracts key progress data from goal-related images including study notes, workout logs, work screenshots, and habit tracking records using vision language models.
- Structured Progress Logging: Saves extracted metrics to your daily goal journal with standardized formatting, including task lists, completion rates, and key quantitative data.
- Cross-Scenario Support: Works for learning management, fitness tracking, work project monitoring, habit formation, and creative project logging, with specialized prompt templates for each goal type to improve recognition accuracy.
- Use Case Example: When you send a photo of your completed workout log, the skill extracts the exercise type, number of sets, reps, and weight used, then logs it to your fitness journal with a progress summary and actionable suggestions.
Quick Start
Send a photo of your goal progress (such as a workout log, study notes, or project screenshot) along with a short prompt like "update my progress" to have the skill automatically extract key details and save them to your daily goal journal.
