overlay-subject-placement

Name: overlay-subject-placement
Availability: InStock
Author: bachdyon

Analyze video frames to recommend overlay positions avoiding unsafe zones.

Updated Aug 27, 2026

Search Tags:#video production #overlay placement #subject visibility #safe area compliance #vision LLM

Ready to run

npx skills add https://github.com/bachdyon/video-automator-skills --skill overlay-subject-placement

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: overlay-subject-placement
Source: https://github.com/bachdyon/video-automator-skills/tree/main/skills/overlay-subject-placement
Command: npx skills add https://github.com/bachdyon/video-automator-skills --skill overlay-subject-placement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps in placing text, image, or video overlays in video content without obscuring the subject or violating safe areas, improving the overall video composition.

Core Features & Use Cases

Subject Placement Analysis: Analyzes video frames to suggest overlay positions.
Avoidance of Unsafe Zones: Ensures that overlays do not violate hard safe-area rules.
Pipeline Integration: Designed to integrate seamlessly into video production pipelines.

Quick Start

Run the overlay-subject-placement skill with the screenshot from your video at the desired frame and receive a recommended position for your overlay.

Frequently Asked Questions about overlay-subject-placement

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

FAQPage Schema

How do I optimize overlay placement in video production without obscuring the subject?▼

You can optimize overlay placement by running analysis on video frame screenshots to receive recommended positions that ensure subject visibility and maintain compliance with established safe areas.

What is the best way to ensure text and image overlays comply with video safe areas?▼

Ensuring overlays comply with safe areas requires analyzing video frames to detect unsafe zones, automatically generating position recommendations that prevent hard safe-area rule violations during content creation.

How does vision LLM analysis work for suggesting video overlay positions?▼

Vision LLM analysis suggests video overlay positions by processing frame screenshots to evaluate subject placement and safe areas, outputting recommended overlay coordinates that avoid obscuring key visual elements.

Can I integrate automated overlay position recommendations into my post-production pipeline?▼

You can integrate automated overlay position recommendations into post-production pipelines, receiving frame-specific overlay suggestions designed to seamlessly merge into existing video production workflows and composition processes.

Do I need to provide specific frame screenshots to get overlay placement suggestions?▼

You need to provide specific frame screenshots from your video at the desired timestamps to receive accurate overlay placement suggestions that account for subject visibility and safe area compliance.

What are the limitations of using vision LLM for video overlay subject visibility checks?▼

A limitation of using vision LLM for video overlay visibility checks is that it analyzes static frame screenshots, meaning it cannot dynamically track moving subjects across sequential video frames in real-time.