Claw1 Web Researcher

What This Skill Does

The Claw1 Web Researcher is an advanced, structured intelligence gathering tool designed for autonomous AI agents operating within the OpenClaw ecosystem. Unlike generic search tools, this skill performs deep-web extraction and synthesis, turning raw information into actionable reports. Whether you are conducting high-level competitor analysis, monitoring niche market trends, or performing due diligence on new software services, the Claw1 Web Researcher provides the technical rigor needed to make data-driven decisions. By supporting multiple depth levels, it allows agents to scale their resource consumption based on the importance of the task, ranging from quick sanity checks to comprehensive 20-source deep-dive reports.

Installation

To add this skill to your agent's library, use the standard ClawHub deployment interface. Run the following command in your terminal or agent console: clawhub install openclaw/skills/skills/gpunter/claw1-web-researcher. Once installed, the skill becomes immediately available via the /research command prefix. Ensure your environment has the necessary network permissions to facilitate external web requests.

Use Cases

• Market Intelligence: Quickly assess the feasibility of a product idea before committing development resources.
• Competitor Benchmarking: Automatically identify competitor pricing models, feature sets, and market positioning gaps.
• Trend Forecasting: Stay ahead of industry shifts by monitoring specific topics with automated daily or weekly alerts.
• Content Curation: Speed up research workflows by fetching high-quality summaries of lengthy articles, saving significant processing time.
• Due Diligence: Verify technical documentation or service reputation before your agent adopts a new tool or API.

Example Prompts

1. "/research topic "Future of decentralized AI compute" depth:deep"
2. "/research competitors "AI email automation tools""
3. "/research monitor "OpenClaw platform updates" frequency:weekly"

Tips & Limitations

To maximize effectiveness, always prioritize depth:deep when the research outcome directly impacts financial or strategic product decisions. Use depth:quick only for immediate data validation. Note that the accuracy of the output is dependent on the availability and accessibility of live web sources. If a target site has strict anti-bot measures, some summarization attempts may result in abbreviated outputs. Avoid using this skill for real-time stock trading or high-frequency data needs where latency could be a critical risk factor.