AI Researcher

What This Skill Does

The AI Researcher skill transforms your OpenClaw agent into a high-level investigative analyst. It is designed to navigate vast amounts of information to provide structured, verifiable insights. Unlike simple search bots, this skill synthesizes data, critiques sources, and organizes information into specialized frameworks such as Literature Reviews, Comparative Analyses, and Trend Projections. It prioritizes evidence-based findings, distinguishes between fact and speculation, and maintains rigorous standards for source attribution. Whether you are validating a technical hypothesis, analyzing a competitive landscape, or summarizing complex academic papers, this skill delivers actionable clarity.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/1kalin/ai-researcher

Use Cases

• Strategic Decision Making: Use the Comparative Analysis mode to weigh multiple technology stacks or business strategies against objective criteria.
• Market Intelligence: Leverage the Trend Analysis mode to identify early-stage momentum in specific industries and forecast potential growth scenarios.
• Academic & Technical Writing: Utilize the Literature Review mode to synthesize conflicting studies and identify gaps in existing knowledge bases.
• Executive Preparation: Use the Quick Brief mode to rapidly synthesize daily news or policy changes into immediate, actionable intelligence.

Example Prompts

1. "Perform a Comparative Analysis on PostgreSQL vs. MongoDB for a high-concurrency real-time analytics dashboard. Include a cost-to-scale projection and a recommendation based on developer velocity."
2. "Conduct a Deep Dive Briefing on the current state of decentralized identity solutions. Focus on W3C standards, adoption challenges, and major industry players."
3. "Provide a Trend Analysis on the adoption of small language models (SLMs) in edge computing. Highlight the bull vs. bear scenarios for the next 24 months."

Tips & Limitations

• Confidence Levels: The skill provides confidence levels (High/Medium/Low) for its claims. Always review 'Low' confidence data points with primary sources.
• Source Verification: While the skill attempts to mitigate bias, complex or highly polarized topics may require a second pass with the 'Expert Perspectives' prompt to ensure comprehensive coverage.
• Scannability: Utilize the provided header structure to quickly navigate large documents. If you have limited time, start with the Executive Summary or Quick Brief mode.
• Iterative Refinement: If the initial output lacks depth in a specific area, follow up by asking the agent to 'Expand on the data and evidence section for point X.'