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deep-research

AI agent for deep research tasks

Why use this skill?

Enhance OpenClaw with deep-research. Automate complex analysis across academic, financial, and social domains with a specialized team of AI search agents.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/realroc/deep-research-prime
Or

What This Skill Does

The deep-research skill transforms OpenClaw into a sophisticated research engine capable of tackling complex, multi-faceted inquiries. Acting as the 'Deep_Research_Leader_Agent', this skill orchestrates a team of specialized subordinate searchers to synthesize information from diverse sources, ranging from academic databases to real-time financial markets and social media streams. Unlike standard search tools, it strictly adheres to the 'Golden Rule' of user-input integrity, ensuring that research is conducted based on the user's specific terminology, even when that terminology diverges from common knowledge.

Installation

To integrate this powerful research capability, run the following command in your terminal: clawhub install openclaw/skills/skills/realroc/deep-research-prime

Use Cases

This skill is ideal for professionals, analysts, and developers who require high-fidelity data extraction. Use cases include:

  • Technical Due Diligence: Investigating new product releases or emerging technologies that may not yet be widely indexed.
  • Market Analysis: Tracking real-time financial shifts alongside public sentiment on platforms like Twitter.
  • Academic Discovery: Performing literature reviews by querying authoritative academic databases via the dedicated Academic Research Searcher.
  • Trend Forecasting: Synthesizing cross-platform data to build comprehensive reports on specific industries or niche topics.

Example Prompts

  1. "Perform a deep dive into the architecture of the latest, unreleased version of the XYZ Framework, comparing it to existing documentation."
  2. "Search for the latest academic papers published on neural network pruning techniques in 2024 and summarize the top three findings."
  3. "Analyze the current market sentiment for $TSLA stock by combining recent financial news with top-tier discussion threads on Twitter."

Tips & Limitations

To maximize the effectiveness of the deep-research skill, ensure your prompts are granular. The agent relies heavily on your instructions to route tasks to the correct specialist (Internet, Twitter, Financial, or Academic).

Limitations:

  • The agent is limited by the availability of information in its external databases.
  • While the tool is designed for high accuracy, the quality of the final report is ultimately dependent on the specificity of your initial request.
  • Always review findings involving financial data, as real-time market data can be subject to rapid fluctuations.

Metadata

Author@realroc
Stars1171
Views8
Updated2026-02-19
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-realroc-deep-research-prime": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#research#analysis#intelligence#automation#data
Safety Score: 4/5

Flags: network-access, external-api