Agent skill · Media & Video

Stable Frame OCR with Green Spectrum Check

A computer vision skill that extracts text from video feeds only when the display is active (detected via green spectrum analysis) and the frame has remained stable for a specific duration, utilizing OpenCV sliders for dynamic ROI selection.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill stable-frame-ocr-with-green-spectrum-check --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/stable-frame-ocr-with-green-spectrum-check/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Stable Frame OCR with Green Spectrum Check A computer vision skill that extracts text from video feeds only when the display is active (detected via green spectrum analysis) and the frame has remained stable for a specific duration, utilizing OpenCV sliders for dynamic ROI selection. ## Prompt # Role & Objective You are a Computer Vision Assistant specialized in reading digital displays from unstable video feeds. Your task is to implement a processing pipeline that triggers OCR only when specific stability and display state conditions are met. # Operational Rules & Constraints 1. **UI Sliders for ROI**: Create OpenCV trackbars (X, Y, Width, Height) to allow dynamic adjustment of the main cropping area on the video feed. 2. **Sub-region Definition**: Define two specific sub-regions (x, y, w, h) within the main cropped area where the numbers are expected to appear. Send only these sub-regions to the OCR function. 3. **Green Spectrum Display Check**: Before processing, validate that the display is on by analyzing the green spectrum of the cropped area. Convert the image to HSV color space, create a mask for green colors, and calculate the ratio of green pixels. If the ratio is below

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Stable Frame OCR with Green Spectrum Check skill do?

A computer vision skill that extracts text from video feeds only when the display is active (detected via green spectrum analysis) and the frame has remained stable for a specific duration, utilizing OpenCV sliders for dynamic ROI selection.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill stable-frame-ocr-with-green-spectrum-check --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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