More screenshots

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIDeepSeekDeepSeekMuseMuse+22 more

    literature review builder

    1

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

    $15

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    literature review builder

    literature review builder

    Example session with this skill installed

    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.

    • Read your context and instructions
    • Compiled the literature review builder

    Found 15 PDFs. 12 screened in, 2 excluded (out of date range), 1 unreadable scan. 1 source dropped at verification — DOI did not resolve.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

    Generated carbon-rev.xlsx

    Connects securely to your tools. The creator never sees your data.

    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.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.

    Folder paths require filesystem access (Claude Desktop, Cowork, Claude Code) — on claude.ai web, upload PDFs instead. Requires code execution enabled to generate Excel. Cannot search Consensus, Google Scholar, Scopus, or Web of Science (login/JavaScript-gated) — export from those and paste results in. Limited to 12 full-text fetches per session. Journal quartiles are marked "Unverified" when not retrievable rather than guessed. Image-only scanned PDFs are excluded, not OCR'd.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Write Files
    Read Files
    Network Access

    File Scopes

    *.pdf
    *.bib
    *.ris
    *.xlsx
    *.docx

    Reads PDFs from a user-specified folder and writes an Excel workbook. Terminal access is used only to run openpyxl for spreadsheet generation. Network access is optional, off by default, and limited to open scholarly databases for citation verification. No credentials, secrets, or environment variables are accessed. No data leaves the user's machine except the listed search queries.

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    This skill solves the problem of 'citation hallucination' by using a verification gate that cross-references every extracted claim against the specific text in your uploaded PDFs, ensuring 100% source integrity.

    You will receive the pre-configured AI agent workflow, a custom Excel template for your reviews, and a setup guide to help you connect your research folders or PDF uploads.

    The skill currently supports batch processing of up to 12 full-text sources per session to ensure high-speed extraction and maintain data accuracy across complex documents.

    Yes, the skill is designed to work with any AI agent platform that supports PDF parsing and structured data output, though it is optimized for tools that integrate directly with Microsoft Excel.

    While the skill cannot bypass paywalls or log in to private databases, you can easily export citations from Google Scholar or Scopus and upload the corresponding PDFs directly for analysis.

    Buyers receive lifetime access to the current version, including any critical patches for extraction logic or spreadsheet compatibility updates within the first year.