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Academic Deep Research

Literature reviews that take days can now take hours. Manual paper retrieval and synthesis miss connections between sources. Conduct deep academic research with multi-source synthesis inside OpenClaw.

What breaks without openclaw academic research skill

Days lost to manual literature reviews. Connections between papers missed without synthesis. Inconsistent citation quality breaking research credibility.

→
Deep academic literature synthesis × 10–20 source searches per run ÷ 15–25 minutes ÷ no manual review coordination = research-grade reports in hours.

openclaw academic research skill — what it actually does

01
Perform structured literature reviews across multiple search sources.
02
Synthesise research papers into a coherent report with citations.
03
Choose depth level from shallow to deep for research intensity control.
04
Monitor API quota when running deep multi-search research sessions.
05
Combine with a web search skill for access to open-access papers.

Security check — openclaw academic research skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm macOS, Linux; OpenClaw ≥1.0 compatibility.

Quick start — openclaw academic research skill in 15–25 minutes

Setup time: 15–25 minutes

!
You need:

Install the package:

# Install via ClawhHub
clawhub install kesslerio/academic-deep-research
1
Install a search skill (e.g. steipete/brave-search)
2
Install the academic research skill
3
Run /research <topic> with depth level --depth shallow|standard|deep
4
Receive a synthesis report with citations

Troubleshooting openclaw academic research skill

1
1. Deep research mode makes 10–20 searches — monitor API quota and costs
2
2. Citation quality depends on source availability — not all papers are openly accessible

Compatibility & status

Works with: macOS, Linux; OpenClaw ≥1.0 intermediate Last updated: Nov 2025 ★ 285 on GitHub MIT

Official docs →

View on GitHub →

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More by kesslerio

Every day a literature review takes manually is a day your research falls behind. Install and run your first deep research session before the next deadline.

Get it on GitHub →