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auto-target-tracker

Extract structured progress data from goal-related images in chat conversations.

Updated Apr 7, 2026
Search Tags:#image recognition#habit tracking#goal tracking#vlm#progress logging#study notes#fitness logging
One-click install
npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill auto-target-tracker-felipesantiago-coder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-target-tracker
Source: https://github.com/felipesantiago-coder/fluxo-quadra/tree/main/skills/auto-target-tracker
Command: npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill auto-target-tracker-felipesantiago-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually logging progress for learning, fitness, work projects, and daily habits is time-consuming and easy to forget. This skill eliminates that hassle by automatically extracting key progress information from goal-related photos you send in chat conversations, no manual data entry required.

Core Features & Use Cases

  • Automatic Image Detection: Identifies goal-related images (study notes, workout logs, project progress screenshots, habit check-ins) sent in chat, filtered by filename keywords, content, timing, and conversation context.
  • VLM-Powered Tailored Extraction: Uses vision language models with goal-type specific prompts to pull relevant metrics for 5 core scenarios: learning (knowledge points, completion rate), fitness (exercise type, sets, reps, weight), work (completed tasks, completion percentage), creation (work type, progress, key elements), and habits (consecutive check-in days, check-in rate).
  • Auto-Logging & Feedback: Automatically saves extracted structured data to your daily goal journal and provides instant, actionable progress feedback with suggestions for improvement. Use case example: If you send a photo of your completed English vocabulary list while studying, the skill automatically counts the 15 new words learned, estimates your daily study task completion rate, and saves the record to your daily log without any manual input from you.

Quick Start

Send a photo of your goal-related progress (such as a workout record, study notes, or habit check-in screenshot) in chat, and the skill will automatically extract key details, log them to your daily journal, and share your progress update with you.

Frequently Asked Questions about auto-target-tracker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically track goal progress from photos without manual logging?▼

To automatically track goal progress from photos without manual logging, simply send goal-related images like study notes or workout logs in your chat conversation. The skill uses vision language models to extract structured data such as exercise reps, study completion rates, or task percentages and saves it directly to your daily journal.

Can I use image recognition to log fitness workouts and study notes automatically?▼

Yes, you can use image recognition to log fitness workouts and study notes automatically. By sending photos of your progress in chat, vision language models identify the goal type and pull relevant metrics like knowledge points, exercise sets, or completed tasks to create a structured daily journal entry.

What types of habits and projects does VLM-powered progress tracking support?▼

VLM-powered progress tracking supports five core scenarios: learning notes, fitness workouts, work project updates, creative work progress, and daily habit check-ins. It extracts specific metrics for each, such as consecutive check-in days for habits or completion percentages for work projects.

How does automatic image detection identify goal-related images in chat?▼

Automatic image detection identifies goal-related images in chat by filtering uploads based on filename keywords, image content, timing, and conversation context. This ensures the vision language model only processes relevant photos to extract structured progress data for your daily goal journal.

What is the best way to record daily habit check-ins without manual data entry?▼

The best way to record daily habit check-ins without manual data entry is to send a habit check-in screenshot in your chat conversation. The skill automatically extracts metrics like consecutive check-in days and check-in rates, logs the record, and provides instant actionable feedback.

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