A real-time research tool that extracts data from X, YouTube, and the web to generate AI-synthesized briefings and prompts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install last30days-gemini
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install last30days-gemini using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
last30days is a high-performance research utility specifically optimized for Openclaw Skills to bridge the gap between real-time data collection and AI-driven analysis. It allows developers and researchers to scrape the most relevant discussions, recommendations, and debates from the last 30 days across X (Twitter), YouTube transcripts, and the web via the Brave Search API. This skill is particularly valuable for users who need to stay updated on fast-moving topics without manual searching.
By leveraging this tool within the Openclaw Skills ecosystem, you can automate the discovery of current trends and synthesize them into structured reports. The skill doesn't just return links; it gathers the context needed for Gemini to generate expert-level briefings and copy-paste prompts, making it an essential asset for modern AI workflows.
Configure your environment variables and create the necessary directory structure for the skill:
# Export required tokens
export AUTH_TOKEN=your_x_auth_token
export CT0=your_x_ct0_token
export BRAVE_API_KEY=your_brave_key
# Initialize configuration
mkdir -p ~/.config/last30days
cat > ~/.config/last30days/.env << 'EOF'
BRAVE_API_KEY=your_key_here
EOF
The skill organizes research data based on the source and the requested output format. Below is the structure used for data aggregation:
| Source | Method | Data Type |
|---|---|---|
| X/Twitter | Bird CLI / Cookies | Social threads and mentions |
| YouTube | yt-dlp | Video transcripts and metadata |
| Web | Brave API | Search engine results and snippets |
The structured JSON output is specifically designed for integration with Openclaw Skills and AI models like Gemini 2.0 Flash.
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