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literature review builder
Builds verified, structured literature reviews in Excel with zero-hallucination citation tracking.
$15
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Found 15 PDFs. 12 screened in, 2 excluded (out of date range), 1 unreadable scan. 1 source dropped at verification — DOI did not resolve.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.
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
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
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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Permissions
File Scopes
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.