ai-research-scraper

What This Skill Does

The ai-research-scraper is a specialized agent skill designed to keep users at the forefront of the rapidly evolving AI landscape. It automates the process of fetching, filtering, and summarizing the latest research and product updates from a curated list of industry-leading sources, including TechCrunch, VentureBeat, MIT Technology Review, and the official blogs of major AI players like Google, Microsoft, and NVIDIA. By integrating direct web scraping capabilities with concise summarization, it transforms high-volume technical noise into actionable intelligence. The tool is architected for efficiency, featuring a 1-hour caching mechanism to reduce redundant network requests, built-in retry logic for stability, and flexible configuration options to prioritize specific development topics or timeframes. It acts as a dedicated intelligence officer for researchers, developers, and tech enthusiasts.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Run the following command in your terminal:

clawhub install openclaw/skills/skills/kernix0421/ai-research-scraper

Once installed, verify the installation by locating the workspace directory at /root/.openclaw/workspace/skills/ai-research-scraper/. You can customize the source list by modifying references/websites.txt to include specific domains or RSS feeds that align with your research needs.

Use Cases

• Continuous Market Intelligence: Automatically generate daily briefings on competitor product releases to keep your startup or internal project strategy aligned with market shifts.
• Technical Research Monitoring: Track breakthroughs in AI model architecture or deployment strategies from academic and industrial blogs without manual browsing.
• Trend Analysis: Analyze the velocity of AI development over a specific period (e.g., the last 7 days) to identify emerging technology patterns or shifts in institutional research focus.

Example Prompts

1. "Run the ai-research-scraper with a 7-day lookback window and summarize the most significant AI product developments."
2. "Update my research feed using the current website list and focus specifically on new product development announcements."
3. "Fetch the latest AI news and keep the summaries under 500 tokens to ensure a quick daily digest for my team."

Tips & Limitations

For optimal performance, leverage the --max-tokens flag to maintain concise outputs, which helps the agent process information faster. If you encounter network connectivity issues with specific sites, the tool is configured to support tavily-search as a robust fallback. Please note that while the tool is highly efficient, it prioritizes summaries over full-text mirroring, so always use the provided original links for deep-dive reading. The script does not currently perform real-time translation to ensure maximum stability and speed during data retrieval.