A comprehensive intelligence skill for scraping, searching, and analyzing Twitter/X profiles, engagement metrics, and global trending topics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-twitter-content-analytics
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-twitter-content-analytics 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 Twitter Content Analytics?
This skill provides professional-grade Twitter/X intelligence by leveraging the KeyAPI MCP service. It is specifically built for developers and researchers using Openclaw Skills who require deep access to social data, including user profiles, tweet threads, and complex social networks. By integrating this skill, users can programmatically audit account performance and extract meaningful insights from the X platform.
The tool architecture prioritizes efficiency through a cache-first workflow, ensuring that data is stored locally to reduce API overhead. Whether you are tracking brand sentiment or mapping follower demographics, this skill offers the technical depth needed for high-scale social media analysis within the Openclaw Skills environment.
KeyAPI Twitter Content Analytics Use Cases
- Monitoring real-time trending topics and hashtags across 50+ different countries.
- Auditing user engagement metrics, posting cadence, and visual media libraries.
- Mapping social graphs by programmatically exploring follower and following networks.
- Performing deep-dive sentiment analysis by extracting full comment threads under specific tweets.
- Executing multi-type searches to find the latest or most popular content for specific keywords.
How KeyAPI Twitter Content Analytics Works
- Define your research objective and select the specific API nodes required, such as get_user_profile or trending.
- Use the provided CLI scripts to inspect the input schema for the chosen tool to ensure all required parameters are met.
- Execute the tool call via the KeyAPI Twitter MCP server, passing your unique API token for authentication.
- Automatically store the JSON response in the local .keyapi-cache directory to enable faster, cost-effective retrieval later.
- Process the retrieved data to generate reports on engagement quality, content patterns, or network reach.
KeyAPI Twitter Content Analytics Setup
To get started with this skill in your Openclaw Skills setup, follow these steps:
# 1. Install necessary dependencies
npm install
# 2. Set your KeyAPI token as an environment variable
export KEYAPI_TOKEN=your_token_here
# 3. Verify the connection by listing all available Twitter tools
node scripts/run.js --platform twitter --list-tools
KeyAPI Twitter Content Analytics Data Schema & Taxonomy
The skill organizes its findings in a structured local cache located at .keyapi-cache/YYYY-MM-DD/. Data is categorized by the specific tool used, with individual files named using a hash of the request parameters.
| Data Category | Key Information Extracted |
|---|---|
| User Profiles | Bio, follower counts, verification status, and account creation date. |
| Tweet Data | Engagement metrics (likes, retweets, quotes), media links, and text content. |
| Social Graph | Lists of followers and following accounts with pagination support. |
| Trends | Trending topics and hashtags mapped to specific geographic locations. |
KeyAPI Twitter Content Analytics Advanced Features
- Intelligent pagination using cursor-based navigation for large datasets like follower lists.
- Multi-type search filters allowing users to toggle between Top, Latest, Media, and People results.
- Global trend monitoring supporting over 50 countries for localized market research.
- Advanced user identification accepting both screen names and numeric REST IDs.
- Built-in error handling with automated retries for transient 500-level server responses.
SKILL.md
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