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literature-survey

Conduct academic literature surveys with verified metadata and structured annotations.

Updated Aug 23, 2026
Search Tags:#academic#literature review#semantic scholar#survey#research synthesis#arxiv#citation analysis
One-click install
npx skills add https://github.com/barikata1984/.claude --skill literature-survey
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: literature-survey
Source: https://github.com/barikata1984/.claude/tree/main/skills/literature-survey
Command: npx skills add https://github.com/barikata1984/.claude --skill literature-survey

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end process of conducting academic literature surveys by systematically finding, verifying, and summarizing relevant publications so researchers can quickly understand a field's landscape without missing key works.

Core Features & Use Cases

  • Systematic multi-tier search: Recent-first exhaustive search, high-impact established works, and foundational seminal works.
  • Paper-level structured annotations: For each paper record thesis, core, diff, and limit fields to enable transparent synthesis.
  • Verification and reproducibility: Requires DOI or URL for each paper and includes a hallucination check and execution log for auditability.
  • Use Case: Produce a 30–60 paper survey on a machine learning subtopic, grouped by themes, with a survey-level thesis, foundation, progress, and gap analysis and an exportable Markdown report.

Quick Start

Summarize the recent and foundational literature on "self-supervised learning for medical image segmentation" into a categorized Markdown survey with paper-level thesis/core/diff/limit and verified DOIs or URLs.

Frequently Asked Questions about literature-survey

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a literature review with verified DOIs and structured annotations?▼

Automate a literature review by executing multi-tier searches across web, arXiv, and Semantic Scholar to extract metadata, abstracts, and structured thesis/core/diff/limit annotations with verified DOIs for each publication.

What is the best way to survey academic literature across recent and foundational papers?▼

Surveying academic literature requires a systematic multi-tier search strategy: locating recent exhaustive publications, high-impact established works, and foundational seminal papers to capture the complete research landscape.

How do I prevent hallucinated citations when generating a research synthesis?▼

Prevent hallucinated citations during research synthesis by enforcing a mandatory hallucination check and requiring verified DOIs or URLs for every extracted paper record in the final execution log.

Can I produce a categorized Markdown survey covering 30 to 60 academic papers?▼

Yes, you can produce a categorized Markdown survey of 30 to 60 academic papers grouped by themes, including a survey-level thesis, foundation, progress, gap analysis, and structured paper-level annotations.

How do I extract metadata and abstracts from arXiv and Semantic Scholar for a literature survey?▼

Extract metadata and abstracts from arXiv and Semantic Scholar by querying these platforms during the systematic search process to retrieve titles, authors, publication years, venues, and verifiable URLs for each paper.

What limitations exist when conducting systematic academic literature surveys across disciplines?▼

Limitations of academic literature surveys include potential coverage gaps in niche subtopics and reliance on the availability of verifiable DOIs or URLs, which are mitigated by documented search methodologies and execution logs.

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