If you’ve ever wished your AI agent could do more than surface-level web lookups — actually digging into a topic, cross-referencing sources, and delivering a structured report — the growing family of deep research skills on ClawHub is worth your attention. As of April 2026, there are four standout options, each with a different philosophy on how an agent should approach complex, multi-step investigation.
Why Deep Research Matters for Agents
Standard web search skills return links and snippets. That’s useful for quick lookups, but it falls apart when a task requires synthesizing information from many sources, evaluating conflicting claims, or producing a document with proper citations. Deep research skills fill that gap by orchestrating multi-step workflows: they plan a research strategy, execute parallel searches, evaluate source quality, and compile findings into a coherent output. For anyone using OpenClaw agents in consulting, academia, journalism, or competitive intelligence, these skills are quickly becoming essential infrastructure.
1. Deep Research Pro
Author: parags | Install: npx clawhub@latest install parags/deep-research-pro
Deep Research Pro is the skill to reach for when you need a fast, no-fuss research workflow with zero API key requirements. It pulls from multiple web sources, synthesizes findings, and outputs a clean report with inline citations. The skill is designed around a “breadth-first, then depth” strategy: it starts by casting a wide net across sources, identifies the most relevant threads, and then drills into those threads for detail. If you want a general-purpose research assistant that just works out of the box, this is the one to try first.
2. Academic Deep Research
Author: kesslerio | Install: npx clawhub@latest install kesslerio/academic-deep-research
Academic Deep Research is built for rigorous, citation-heavy work. It enforces APA 7th edition formatting, maintains an explicit evidence hierarchy (primary sources ranked above secondary, peer-reviewed above opinion), and includes three user checkpoints during the research process where the agent pauses and asks you to confirm direction before continuing. This makes it ideal for graduate students, policy researchers, and anyone who needs to defend their sources. The tradeoff is speed — expect longer execution times as the skill methodically evaluates source credibility at each stage.
3. Gemini Deep Research
Install: npx clawhub@latest install gemini-deep-research
This skill takes a different architectural approach by routing complex research tasks through Google’s Gemini Deep Research Agent. Rather than orchestrating searches directly, it delegates the heavy lifting to Gemini’s long-running research pipeline and returns the results to your OpenClaw agent for further processing. The advantage is access to Gemini’s specialized research reasoning; the downside is that you’ll need a Google AI API key and are subject to Gemini’s rate limits and token costs. Best suited for users who are already in the Google ecosystem and want to combine Gemini’s research depth with OpenClaw’s broader agent capabilities.
4. General Deep Research
Install: npx clawhub@latest install general-deep-research
General Deep Research is the orchestration-focused option. Instead of doing all the work itself, it spins up sub-agents — each responsible for a different facet of the research question — and coordinates their outputs into a unified report. This makes it particularly powerful for broad, multi-dimensional topics where you’d normally need to run several separate research sessions. It integrates well with other ClawHub skills; for example, you can pair it with a Felo Search skill for real-time web intelligence or a memory skill to persist findings across sessions.
How to Choose
The right skill depends on your use case. For everyday research tasks where speed matters, Deep Research Pro is hard to beat — zero setup, solid output. If you’re doing academic or policy work where citation quality is non-negotiable, Academic Deep Research is purpose-built for that. Teams already invested in Google’s AI stack will appreciate Gemini Deep Research as a bridge between ecosystems. And if your questions are broad enough to benefit from parallel investigation by multiple sub-agents, General Deep Research offers the most architectural flexibility.
A Note on Vetting
As with any ClawHub skill that handles external data, it’s worth reviewing what each deep research skill can access before deploying it in a sensitive context. Research skills by nature make many outbound requests and process large volumes of external content. The four skills listed here are all well-established on ClawHub with healthy download numbers and active maintenance, but standard best practice applies: review the skill’s source code on GitHub, check the author’s track record, and test in a sandboxed environment before using in production. The VoltAgent awesome list is a good resource for cross-referencing vetted skills.
Deep research is one of the most compelling categories in the OpenClaw ecosystem right now, and the pace of improvement across these four skills suggests we’ll see even more capable versions in the coming months. If your agent workflow involves any kind of investigation or analysis, these skills deserve a spot in your toolkit.
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