scholar-deep-researchUse when the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/...
Install via ClawdBot CLI:
clawdbot install agents365-ai/scholar-deep-researchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Agents365-ai/scholar-deep-researchUses known external API (expected, informational)
raw.githubusercontent.comAudited Apr 18, 2026 · audit v1.0
Generated May 23, 2026
A researcher needs a comprehensive review of recent advances in quantum machine learning. The skill decomposes the question into sub-topics, searches multiple sources (arXiv, OpenAlex), deduplicates, ranks papers by citation impact, and produces a structured report with verifiable citations.
A team is writing a grant proposal on CRISPR-based gene drives. They need a quick yet thorough background on the state of the art, key papers, and gaps. The skill scopes the question, runs a multi-source search, and synthesizes findings into a cited background section for the proposal.
An R&D manager wants to compare deep learning approaches for medical image segmentation to decide which method to adopt. The skill runs a comparative analysis, extracts evidence from top-cited papers, and highlights tensions between different architectures.
A government agency needs a systematic review on the environmental impact of microplastics. The skill follows a structured workflow, including citation chasing and self-critique, to ensure comprehensive coverage and identify knowledge gaps for policy recommendations.
A corporate IP team wants to understand the patent landscape around solid-state batteries. The skill searches scholarly literature and patents (via Crossref), deduplicates, and generates a survey with citation-backed insights on key innovations and players.
Offer the skill as a managed service (via a platform like Hermes or Pimo) with tiers based on monthly research credits. Advanced features like custom archetypes and integration with MCP tools (Semantic Scholar) are premium add-ons.
License the skill's workflow engine to academic publishers (e.g., Elsevier, Springer Nature) who embed it into their platforms to offer automated literature reviews to authors and reviewers. Revenue from per-use or annual licensing fees.
Offer the core workflow for free with limited sources (OpenAlex only) and basic report templates. Charge for access to premium templates (e.g., systematic review, meta-analysis, patent landscape), additional sources (PubMed, Crossref), and parallel runs.
💬 Integration Tip
Ensure Python 3.9+ with httpx and pypdf installed. For MCP enrichment, set up Semantic Scholar and Brave API keys as environment variables, but the skill works offline-first without them.
Scored Jul 11, 2026
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.
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Creates formal academic research papers following IEEE/ACM formatting standards with proper structure, citations, and scholarly writing style. Use when the user asks to write a research paper, academic paper, or conference paper on any topic.
Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.
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