caesar-research

What This Skill Does

The caesar-research skill provides a powerful interface for the Caesar deep research engine, allowing the OpenClaw agent to perform multi-source research tasks, manage complex analytical workflows, and synthesize findings with accurate citations. It acts as an autonomous research assistant that navigates, searches, and summarizes high-quality information across the web, supporting advanced features like iterative reasoning loops, custom model selection, and domain-specific exclusion to ensure the precision of the output.

Installation

To integrate this skill, use the ClawHub CLI: clawhub install openclaw/skills/skills/alexrudloff/caesar-research. Ensure your Caesar API key is set in your environment variables using export CAESAR_API_KEY=your_key_here. It is also recommended to have jq installed on your system to effectively parse and pipe the research output directly within your terminal workflows.

Use Cases

This skill is ideal for professionals and researchers who need synthesized, cited reports on complex topics. It is perfect for technical writers verifying documentation, analysts conducting market research, or developers investigating specific libraries and technology trends. By leveraging the brainstorm and collection features, users can refine ambiguous research requests, ensuring that the model understands the specific context before consuming compute cycles. It is particularly effective for multi-step investigations where you need to query, receive a summary, and then ask follow-up questions without losing the context of the initial discovery.

Example Prompts

1. "Perform deep research on the current limitations of quantum error correction using gpt-5.2 and at least 3 reasoning loops."
2. "I am brainstorming a project on sustainable urban architecture; please generate clarifying questions to help narrow down the scope for my research."
3. "Follow up on the previous research job [job-id] by explaining how the identified findings specifically impact the energy sector."

Tips & Limitations

• Tip: Always use the --auto flag for broad inquiries; Caesar will optimize the configuration based on your intent.
• Tip: For academic or deep-tech research, use the --reasoning flag to enable advanced analytical pathways.
• Tip: If you get overwhelmed by noise, use --exclude-domain to filter out irrelevant or low-quality sources.
• Limitation: Research jobs are asynchronous by design. While you can watch them, long-running deep research jobs with multiple loops can consume significant API quotas; always monitor your usage.
• Limitation: The skill relies on external network access for its search capabilities; ensure your network environment allows traffic to the Caesar API endpoints.