benchmark

Collect recent high-view YouTube videos and generate benchmark reports.

161|6|Updated Mar 22, 2026

Search Tags:#analytics #benchmarking #youtube #channel performance #youtube analytics

Ready to run

npx skills add https://github.com/daiki-beppu/youtube-automation --skill benchmark-daiki-beppu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/daiki-beppu/youtube-automation/tree/main/.claude/skills/benchmark
Command: npx skills add https://github.com/daiki-beppu/youtube-automation --skill benchmark-daiki-beppu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-api-python-client, google-auth-oauthlib, requests, opencv-python, gemini, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of updating benchmark data for competitive YouTube channels, saving time and ensuring analytics are up-to-date.

Core Features & Use Cases

Competitive Channel Benchmarking: Collects and updates benchmark data for competitive channels.
Automated Report Generation: Automatically updates benchmark reports based on collected data.
Use Case: Ideal for channel managers who need to keep track of competitive channel performance without manual data collection.

Quick Start

Run the benchmark skill to update benchmark data for competitive channels.

Frequently Asked Questions about benchmark

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

FAQPage Schema

How do I automate YouTube competitive channel benchmarking for analytics?▼

YouTube competitive channel benchmarking is automated by collecting recent high-view-count videos, analyzing their performance metrics, and generating updated reports using the YouTube Data API.

Do I need a YouTube Data API key to track competitor channel performance?▼

Yes, accessing the YouTube Data API is required to collect video data and track competitor channel performance, while an optional Gemini API can be used for thumbnail analysis.

How do I generate YouTube analytics reports for high-view-count videos?▼

Generating YouTube analytics reports involves collecting recent videos with high view counts from competitive channels and automatically updating benchmark data based on their performance metrics.

Can I analyze YouTube thumbnails using Gemini API for channel benchmarking?▼

Yes, the Gemini API provides optional thumbnail analysis capabilities for channel benchmarking, utilizing OpenCV and Google API dependencies to process visual data alongside performance metrics.

What's the best way to update benchmark data for multiple YouTube channels?▼

Updating benchmark data for multiple YouTube channels is handled by running an automated script that collects video metrics and generates performance reports without manual data entry.

What are the limitations of using OpenCV for YouTube thumbnail analysis?▼

OpenCV handles thumbnail analysis as an optional feature, meaning the core benchmarking process still functions by collecting performance metrics via the YouTube Data API even if thumbnail processing fails.