Conduct multi-source deep research with verifiable citations and interactive follow-up chat via the Caesar API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install caesar-research
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 caesar-research 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 Caesar Research?
Caesar Research is a technical CLI skill designed to empower AI agents with deep research capabilities through the Caesar API. It enables users to run multi-source research jobs that produce synthesized answers complete with inline citations and a comprehensive list of source materials. By integrating this tool into the Openclaw Skills ecosystem, developers can automate the discovery of information and handle complex queries that require multiple reasoning loops and high-quality source synthesis.
The tool is engineered for depth and accuracy, offering an interactive brainstorming feature to clarify ambiguous queries before research begins. This ensures that the final output is highly relevant and tailored to specific user requirements. Whether you are tracking scientific breakthroughs or building a custom knowledge base for your agent, Caesar Research provides the technical infrastructure to turn raw queries into actionable, evidence-based intelligence.
Caesar Research Use Cases
- Conducting deep technical research on scientific or medical topics with full source attribution.
- Automating competitive intelligence gathering by monitoring specific domains or excluding noisy social media sources.
- Resolving ambiguous user requests through structured brainstorming sessions before initiating research.
- Managing research collections to group related data for specific project contexts.
How Caesar Research Works
- A research job is initiated using the
caesar research createcommand, where you can specify models, reasoning modes, and research loops. - The skill transitions through a detailed status lifecycle, including searching, summarizing, and analyzing as it gathers data from multiple sources.
- The result is returned as a JSON object containing a synthesized markdown answer with [n] citations and an array of source results.
- For deeper inquiry, users can use the research job ID to send follow-up questions via the chat functionality.
- Brainstorming sessions can be triggered beforehand to generate clarifying questions, ensuring the research query is perfectly tuned.
Caesar Research Setup
To get started with Caesar Research in your environment, install the CLI and export your API key:
go install github.com/alexrudloff/caesar-cli@latest
export CAESAR_API_KEY=your_key_here
Caesar Research Data Schema & Taxonomy
Caesar Research utilizes a structured data format for managing research jobs and collections. The primary fields include:
| Field | Type | Description |
|---|---|---|
id |
UUID | Unique identifier for the research or chat job. |
content |
String | The synthesized answer with inline [n] citations. |
results |
Array | A collection of sources used, including URLs and snippets. |
status |
String | The current lifecycle state (e.g., searching, completed, failed). |
model |
String | The specific LLM utilized for the research synthesis. |
Caesar Research Advanced Features
- Multi-loop reasoning allows for deeper, iterative research cycles on complex topics.
- Custom system prompts to control the tone and style of the synthesized research output.
- Domain exclusion and social media filtering to maintain high source quality and relevance.
- Fire-and-forget asynchronous job management using the
--no-waitflag for high-concurrency workflows. - Interactive brainstorming integration to capture user intent through multiple-choice options before research execution.
SKILL.md
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