Deep Research

What This Skill Does

The Deep Research skill is a systematic, iterative investigation engine designed for OpenClaw. Unlike standard search tools that provide surface-level results, Deep Research follows a rigorous protocol—Scope, Search, Evaluate, Deepen, Synthesize, Document, and Deliver—to ensure queries are answered with high confidence and transparency. It is engineered to handle complex, multi-faceted questions that require synthesizing disparate information, reconciling contradictions, and assessing source credibility. By tracking the research trail, including search queries, source authority, and identified knowledge gaps, the skill provides a defensible foundation for critical decision-making rather than simple data retrieval.

Installation

To integrate this capability into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/in-depth-research

Use Cases

Deep Research is best utilized for high-stakes scenarios where accuracy and thoroughness are paramount. Examples include:

• Strategic Market Analysis: Researching competitive landscapes, emerging industry trends, or regulatory impacts on a specific business model.
• Academic or Policy Formulation: Gathering evidence-based insights for reports that require documented methodologies and credible, verifiable citations.
• Technical Due Diligence: Investigating the underlying claims or vulnerabilities of a specific technology or methodology before implementation.
• Fact-Checking Complex Claims: Analyzing public statements or news reports to determine veracity by cross-referencing multiple primary sources.

Example Prompts

1. "Perform an exhaustive deep research on the current limitations of solid-state battery technology for EV adoption, focusing on manufacturing costs versus energy density. Aim for a thorough depth level."
2. "Scope out the regulatory landscape for AI agents in the European Union compared to the United States. Deliver an executive-level summary with high-confidence findings."
3. "Investigate the long-term historical impact of remote work on urban commercial real estate values. Provide a standard-depth report with all cited sources and identified gaps in the data."

Tips & Limitations

To maximize the effectiveness of Deep Research, always clarify your required 'Depth Level' (Quick, Standard, Thorough, or Exhaustive) at the start of your interaction. This allows the agent to allocate time and resources efficiently. Note that this skill is not designed for real-time monitoring or simple document retrieval; it is an analytical tool. If you encounter contradictory findings, the agent will explicitly highlight these as part of its synthesis. Always review the 'Gaps' section of the final output, as identifying what cannot be proven is just as valuable as the evidence provided.