A specialized AI agent skill designed for deep topic investigation, structured reporting, and expert-level synthesis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-researcher
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 ai-researcher 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 AI Researcher?
The AI Researcher is a comprehensive framework for deep investigation, providing users with the ability to transform raw queries into structured intelligence reports. As a key component of Openclaw Skills, it excels at moving beyond surface-level answers to provide rigorous, multi-perspective analysis. Whether you need a technical deep dive or a strategic trend report, this skill ensures every insight is backed by logic and evidence.
By leveraging specific research modes like academic literature reviews and scenario-based trend analysis, this tool helps developers and analysts bridge the gap between information gathering and actionable knowledge. It prioritizes scannability and technical accuracy, making it an indispensable part of any Openclaw Skills workflow.
AI Researcher Use Cases
- Investigating new technology stacks for architectural decisions.
- Conducting literature reviews for academic or technical whitepapers.
- Performing competitive analysis between multiple software frameworks.
- Synthesizing industry trends into executive briefings.
- Rapid onboarding for complex domains through quick-brief summaries.
How AI Researcher Works
- Receive a research prompt or topic from the user to define the scope of investigation.
- Select the optimal research mode (e.g., Deep Dive, Comparative, or Trend Analysis) based on the user's intent.
- Gather and structure data into a logical hierarchy including background, current state, and key players.
- Apply analytical filters to distinguish facts from speculation and assign confidence levels to all claims.
- Generate a finalized markdown report with structured headers, source citations, and suggested next steps for the user.
AI Researcher Setup
To integrate the AI Researcher into your environment, ensure you have the core agent framework installed. Add the skill to your configuration directory to expand your Openclaw Skills capabilities.
# Example command to initialize the skill within your agent environment
openclaw install ai-researcher
No additional API keys are required beyond your standard LLM configuration, though performance is enhanced when paired with search-enabled tools.
AI Researcher Data Schema & Taxonomy
| Component | Description | Format |
|---|---|---|
| Executive Summary | 3-5 high-impact bullet points summarizing findings | Markdown List |
| Confidence Levels | High/Medium/Low indicators for specific claims | Inline Tags |
| Research Modes | Context-specific templates (Briefing, Trend, etc.) | Structured Markdown |
| Sources | Links and citations for further reading and validation | Markdown List |
AI Researcher Advanced Features
- Multi-perspective analysis to present contested topics neutrally and thoroughly.
- Scenario projection capabilities including bull, base, and bear cases for trend forecasting.
- Criteria-based comparison tables for side-by-side technology or methodology evaluations.
- Native integration with other Openclaw Skills for automated knowledge synthesis.
- Adaptive scannability, optimizing headers and layout for busy executive reviews.
SKILL.md
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