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    literature review builder

    by hanya radwan

    1

    Builds verified, structured literature reviews in Excel with zero-hallucination citation tracking.

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    See it in action

    You say

    I have a folder at ~/research/carbon-capture with 15 PDFs. Summarize the current state of carbon sequestration in soil, focused on agricultural land from 2018-2024. Output an Excel file.

    Your agent does

    Found 15 PDFs. 12 screened in, 2 excluded (out of date range), 1 unreadable scan. 1 source dropped at verification — DOI did not resolve.

    Generated carbon-rev.xlsx: Overview, Papers (with journal quartiles — 4 Q1, 3 Q2, 5 Unverified), Screening log, Themes & gaps. Themes: microbial biomass, tilling impacts. Gap identified: no longitudinal data beyond 3 years.

    What you get

    Generate a verified screening log and extraction table in Excel.Identify research gaps and conflicting findings across multiple papers.Verify journal quartiles and flag potential predatory publishers.Synthesize paper collections into thematic narrative summaries.Build a review with zero fabricated citations — every source verified against text actually read.Screen a folder of PDFs against inclusion criteria with a reproducible audit trail.

    About this skill

    The problem

    Synthesizing academic research is prone to citation hallucination and disorganized tracking. Manually extracting methodology, findings, and journal rankings across dozens of PDFs is slow and error-prone.

    What it does

    • Reads and screens uploaded PDFs, folder paths, or bibliography exports against specific research questions.
    • Extracts structured data including methodology, key findings, stated limitations, and journal quartiles.
    • Enforces an anti-fabrication gate to ensure every citation and claim is traceable to source text read in the current session.
    • Generates a compact Excel workbook with a screening log, theme synthesis, and research gap analysis.

    Why this beats prompting it yourself

    Generic prompts often hallucinate plausible-sounding but non-existent citations. This skill uses a strict verification gate and dedicated extraction logic to ensure data integrity and professional spreadsheet formatting that standard LLM outputs lack.

    Use cases

    • Building the "Related Work" or background section for a thesis or dissertation.
    • Conducting a systematic screening of a literature folder to identify research gaps.
    • Performing rapid due diligence on the "state of the art" for grant applications.
    • Organizing a bibliography by themes and journal impact for publication planning.

    Known limitations

    Cannot access JavaScript-heavy or login-protected databases like Scopus or Google Scholar directly. Full-text fetches are capped at 12 sources per session to maintain performance.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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