general-deep-research

Official

Conduct deep, cited scientific literature reviews.

Authorlearningmatter-mit
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It helps you answer complex materials or chemistry questions by running an iterative, evidence-backed literature and web research campaign instead of relying on a single shallow search result.

Core Features & Use Cases

  • Iterative sub-query research: Breaks a broad topic into 3–5 targeted sub-queries using synonyms and permutations to reduce missed coverage.
  • Multi-source discovery: Uses OpenAlex via mcp_base_search_literature (with download=True) and also performs complementary general web searches using search_web.
  • Evidence-focused synthesis: Extracts quantitative details and methodologies, and generates an academic-style markdown report with inline citations (DOI/URL) plus a reference list.
  • Use Case: Learn the synthesis routes and solid-state electrolyte performance of a specific compound (e.g., LiInCl3) with reported conductivity values, processing temperatures/conditions, and cited sources.

Quick Start

Ask the agent to perform deep research on your specific topic (for example, “deep research on LiInCl3 solid-state electrolyte synthesis methods and performance”).

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: general-deep-research
Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#general-deep-research

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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