An AI-driven optimization tool that generates high-performance YouTube titles and metadata based on search algorithms and CTR predictions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-title-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-title-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is YouTube Title Optimizer?
The YouTube Title Optimizer is a sophisticated tool designed to bridge the gap between creative content and algorithmic visibility. By leveraging the power of Openclaw Skills, this tool analyzes real-time YouTube Data API metrics and SEO best practices to produce titles that appeal to both search engines and human curiosity. It focuses on balancing search traffic (SEO) with recommendation traffic (CTR) to maximize overall channel growth.
This skill eliminates the guesswork in video metadata by providing data-backed recommendations. Whether you are a solo creator or a marketing agency, integrating these Openclaw Skills into your workflow ensures that every video is positioned for maximum impact. It doesn't just suggest titles; it provides a comprehensive metadata strategy including tags, description templates, and competitor benchmarking.
YouTube Title Optimizer Use Cases
- Optimizing video titles for higher Click-Through Rates (CTR) during the upload process.
- Recovering declining views on older videos through metadata A/B testing.
- Conducting competitor research to identify high-volume keyword opportunities.
- Bulk generating SEO-optimized titles for educational series or tutorial playlists.
- Standardizing channel metadata with professionally structured tags and description templates.
How YouTube Title Optimizer Works
- The user provides a video description or topic via the command-line interface.
- The skill queries the YouTube Data API to gather current keyword search volumes and trending patterns.
- An internal CTR prediction model evaluates various title structures against historical engagement data.
- If requested, the system performs a competitive analysis by scraping metadata from specified rival channels.
- The tool generates a structured markdown report featuring a primary recommendation, several variations, and an optimized list of tags and keywords.
YouTube Title Optimizer Setup
To get started with this optimization tool, ensure you have your environment configured with Openclaw Skills. Install the package and set your API credentials:
npm install @openclaw/youtube-title-optimizer
openclaw config set YOUTUBE_API_KEY="your_api_key_here"
Once installed, you can run a basic optimization command:
/youtube-title "How to learn Python in 2026"
YouTube Title Optimizer Data Schema & Taxonomy
The skill produces a structured data output in Markdown format to ensure readability and easy implementation. The data is organized as follows:
| Section | Description |
|---|---|
| Recommended Title | The highest-scoring title based on the CTR prediction model. |
| CTR Score | An estimated click-through rate percentage based on historical trends. |
| Alternative Titles | A list of 3-5 variations designed for different psychological triggers (e.g., curiosity, authority). |
| SEO Keywords | A breakdown of primary and long-tail keywords with associated monthly search volumes. |
| Tag Suggestions | A collection of high-relevance hashtags for the YouTube tag field. |
| Description Template | A pre-formatted block containing keyword placement and timestamp placeholders. |
YouTube Title Optimizer Advanced Features
- Competitor Benchmarking: Use the
--analyzeflag to reverse-engineer the success of specific competitor videos. - Multi-Variant Generation: Generate up to 10 unique title variations in a single request using the
--countparameter. - Keyword Weighting: Force the inclusion of specific brand or niche keywords to maintain brand consistency.
- Workflow Automation: This skill can be integrated into larger automated content pipelines powered by Openclaw Skills, allowing for hands-free metadata generation upon video render completion.
SKILL.md
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