A robust intelligence toolset for profiling YouTube channels, extracting deep metadata, and performing advanced filtered searches.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-youtube-channel-analysis
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 keyapi-youtube-channel-analysis 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 KeyAPI YouTube Channel Analysis?
KeyAPI YouTube Channel Analysis is a sophisticated skill designed to provide comprehensive intelligence on YouTube's ecosystem via the KeyAPI MCP service. It empowers developers and researchers using Openclaw Skills to resolve channel identities, audit metadata, and enumerate video libraries with precision. By offering a cache-first workflow, it ensures that data retrieval is both high-speed and cost-effective.
The skill excels at identity resolution, allowing users to move seamlessly between @usernames, legacy URLs, and standard UC-format channel IDs. Whether you are conducting competitive analysis or building a content inventory, this skill provides the technical depth required to extract actionable insights from any YouTube channel.
KeyAPI YouTube Channel Analysis Use Cases
- Perform a complete channel audit including subscriber counts, join dates, and social media links.
- Convert user-friendly handles or various URL formats into standardized 24-character channel IDs.
- Enumerate and analyze a creator full video inventory with automated pagination.
- Discover new competitors or collaborators using keyword-based channel searching.
- Execute precision searches across YouTube using advanced filters like upload time and video duration.
- Generate search suggestions for SEO research and query expansion.
How KeyAPI YouTube Channel Analysis Works
- Identify the target channel using a name, handle, or URL and normalize it to a UC-format ID.
- Initiate the two-step metadata retrieval process to fetch both basic profile info and advanced account details.
- Call the video enumeration or search tools using the resolved ID or specific keywords.
- Utilize continuation tokens to navigate through paginated result sets for videos or search listings.
- Check the local cache directory before each request to leverage existing data and save API credits.
- Process the JSON responses to synthesize a comprehensive report on the channel or search query.
KeyAPI YouTube Channel Analysis Setup
To get started with this skill in your Openclaw Skills environment, follow these steps:
# 1. Install the required MCP SDK dependencies
npm install
# 2. Set your KeyAPI token as an environment variable
export KEYAPI_TOKEN=your_token_here
# 3. Test the connection and view available tools
node scripts/run.js --platform youtube --list-tools
KeyAPI YouTube Channel Analysis Data Schema & Taxonomy
The skill manages data through a structured local cache and organized JSON responses:
| Data Type | Description | Key Parameters |
|---|---|---|
| Identity Mapping | Bidirectional conversion between URLs and IDs | channel_url, channel_id |
| Channel Profile | Multi-stage metadata including social links and stats | channel_id, continuation_token |
| Video Inventory | Lists of published content with pagination support | UC-format channel_id |
| Search Data | Filtered results for channels and general content | search_query, upload_time, sort_by |
Local data is stored in .keyapi-cache/ organized by date and tool name.
KeyAPI YouTube Channel Analysis Advanced Features
- Sequential two-step metadata retrieval for deep-dive channel intelligence.
- Robust URL normalization supporting @handles, /channel/, /c/, and /user/ formats.
- Advanced search parameters for filtering by content feature (e.g., HD), duration, and upload date.
- Integration-ready for multi-agent Openclaw Skills workflows requiring real-time YouTube data.
- Automatic retry logic for server-side errors and smart rate-limit management.
- High-speed search suggestions for keyword discovery and expansion.
SKILL.md
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