deep-research

What This Skill Does

The deep-research skill is a sophisticated framework designed to automate and elevate the process of information gathering. Unlike a standard search, it executes a multi-layered investigative methodology that mimics professional research workflows. It automatically performs topic analysis, broad data harvesting, cross-source verification, and synthesis to ensure the output is not just a collection of links, but a structured, fact-checked report. By integrating web search, direct content extraction, and bias assessment, this skill enables users to gain deep context on complex subjects while minimizing the risk of misinformation or superficial analysis.

Installation

To integrate this powerful research agent into your environment, use the OpenClaw command-line interface. Run the following command in your terminal:

clawhub install openclaw/skills/skills/jiacode/deepresearchwork

Ensure that you have the latest version of the OpenClaw CLI installed to maintain compatibility with the latest dependency updates from the jiacode repository.

Use Cases

• Market Intelligence: Quickly aggregate information on competitors, industry trends, and shifts in regulatory landscapes to support strategic business decisions.
• Academic/Academic-adjacent Inquiry: Compile comprehensive literature reviews or background information on technical topics that require peer-reviewed or authoritative source confirmation.
• Fact-Checking Investigations: Verify the veracity of claims, news items, or complex arguments by identifying contradictory reporting across multiple, diverse media outlets.
• Content Preparation: Gather granular details and verify statistics for long-form white papers, technical articles, or complex project proposals.

Example Prompts

1. "Perform a deep-research investigation on the current limitations of solid-state battery technology for long-range electric vehicles; prioritize peer-reviewed technical journals and synthesize the primary challenges currently facing mass production."
2. "Conduct a thorough analysis of the recent shifts in global supply chain logistics, focusing specifically on the impact of regional geopolitical tensions. Identify key areas of consensus and major disagreements among industry analysts."
3. "Research the historical evolution of artificial neural networks, identifying the key breakthroughs between 2012 and 2024. Cross-reference claims across at least five major authoritative technology news outlets and note any major inconsistencies."

Tips & Limitations

To maximize the effectiveness of this skill, provide clear, objective-driven prompts that explicitly state your validation requirements. The framework works best when it has a specific scope; broad, vague requests may lead to lower confidence levels in the output. Always review the 'Remaining Questions' section generated in the final report, as these indicate potential gaps where the model found conflicting or insufficient evidence. Note that while this skill is highly proficient at synthesizing information, it is not a replacement for human critical judgment. Always verify high-stakes information against primary source documents, and be mindful that the depth of the research is inherently limited by the availability of public, indexed, and accessible information on the web.