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auto-target-tracker

Extract progress details from goal-related images and log them into daily journal entries.

Updated Jun 1, 2026
Search Tags:#progress tracking#image recognition#habit tracking#learning notes#goal management#daily logging#workout logs
One-click install
npx skills add https://github.com/atro2829-hub/APPLE-NET-NEW --skill auto-target-tracker-atro2829-hub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-target-tracker
Source: https://github.com/atro2829-hub/APPLE-NET-NEW/tree/main/skills/auto-target-tracker
Command: npx skills add https://github.com/atro2829-hub/APPLE-NET-NEW --skill auto-target-tracker-atro2829-hub

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of manually interpreting goal-related screenshots and photos by extracting progress information, key metrics, and task status from visual updates.

Core Features & Use Cases

  • Image-based progress capture: Reads learning notes, workout logs, work boards, habit calendars, and creative progress screenshots.
  • Structured progress extraction: Pulls out tasks, completion state, quantities, timestamps, and other measurable details for tracking.
  • Daily logging workflow: Records recognized progress into the day’s journal entry and returns a concise confirmation for user review.
  • Use case: A user sends a photo of a study notebook or gym log, and the Skill identifies what was completed, estimates progress, and prepares a daily check-in entry.

Quick Start

Send a target-related image and ask to record the progress so the Skill can identify the content, summarize the result, and log it to today’s note.

Frequently Asked Questions about auto-target-tracker

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

FAQPage Schema
How do I track daily progress from a screenshot automatically?▼

Daily progress tracking from screenshots uses image recognition to extract tasks, metrics, and completion states, then converts that visual data into structured daily logging notes for review.

Can I log a workout routine from a gym photo?▼

Yes, logging a workout routine from a gym photo extracts quantities, timestamps, and completion status from the image, then prepares a structured daily check-in entry automatically.

What is image-based habit tracking and how does it work?▼

Image-based habit tracking works by applying visual recognition to habit calendar photos to identify streaks and completion states, converting recognized visual updates into structured progress notes.

How do I record learning notes from a study notebook picture?▼

To record learning notes from a study notebook picture, send the image to trigger visual recognition of completed tasks, summarize the extracted progress, and log it to today's note.

Does image recognition work for tracking work status boards?▼

Yes, image recognition works for tracking work status boards by identifying task completion states and measurable metrics from work board screenshots to generate daily journal entries.

What types of visual updates can be converted into structured tracking notes?▼

Visual updates convertible into structured tracking notes include learning logs, fitness records, work status screenshots, habit calendars, and creative progress images with measurable task details.

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