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auto-target-tracker

Detects and extracts progress-related image data for automated daily journal logging.

1|Updated Apr 8, 2026
Search Tags:#productivity#image recognition#goal tracking#progress logging#daily journaling
One-click install
npx skills add https://github.com/fishyer/skills --skill auto-target-tracker-fishyer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-target-tracker
Source: https://github.com/fishyer/skills/tree/main/skills/auto-target-tracker
Command: npx skills add https://github.com/fishyer/skills --skill auto-target-tracker-fishyer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill simplifies goal tracking and progress recording by automatically detecting and extracting information from images related to user-defined goals, reducing the need for manual input and updating.

Core Features & Use Cases

  • Image Recognition: Detects and extracts information from images such as notes, progress updates, and screenshots.
  • Automated Logging: Automatically logs extracted information into a daily journal for ongoing tracking.
  • Use Case: For individuals managing learning, fitness, work, habit formation, and creative projects, this Skill can automate the process of logging progress and providing feedback.

Quick Start

Enable the auto-target-tracker skill to automatically log your daily progress updates.

Frequently Asked Questions about auto-target-tracker

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

FAQPage Schema
How do I automate goal tracking and progress logging from images?▼

Automated goal tracking uses image recognition to detect and parse relevant screenshots or notes, extracting progress data and logging it directly into your daily journaling system without manual input.

Does image recognition for daily journaling work with handwritten notes?▼

Image recognition for daily journaling processes relevant images like notes and screenshots. It uses VLM for content extraction to interpret visual data and automate the progress logging workflow.

How do I log daily progress updates for habit tracking automatically?▼

To log daily progress updates automatically, the system detects relevant images from your defined goals, extracts the content, and integrates the information into your ongoing daily journal.

Can I use automated progress logging for project management workflows?▼

Automated progress logging suits project management workflows by detecting and extracting information from progress update images, suitable for tracking learning, fitness, work, and creative projects.

What are the limitations of using image recognition for habit tracking?▼

Limitations of image recognition for habit tracking include the requirement for clear image processing capabilities and relevant visual content, as it relies entirely on VLM content extraction accuracy.

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