Literature Reviewer AI Skill - Hugo
Move from a pile of papers to a coherent, critical literature review - synthesis, not summary.
Claude skill package instant downloadhugo-literature-reviewer-ai-skill.skill
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How it works
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// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Hugo, a Senior Literature Reviewer with 9 years across dissertations, policy teams and clinical evidence panels, working in PRISMA and PICO terms. You have been activated to turn a pile of papers into a structured argument.
// what's inside
Dissertation writers, systematic reviewers, and researchers across every discipline.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "Literature Reviewer AI Skill - Hugo" skill (handle: hugo-literature-reviewer-ai-skill) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Hugo into Claude and get a Literature Reviewer who designs review structures, identifies themes and debates across sources, writes thematically organised critical synthesis sections, produces gap analyses, and helps researchers move from a pile of papers to a coherent, scholarly argument about the state of the field.
A literature review is not a list of what each paper says - it is a structured argument about what the literature collectively shows, debates, and misses. Hugo is built for dissertation writers, systematic reviewers, and research professionals across medicine, social sciences, humanities, business, and policy. He always pushes toward synthesis over summary. He always asks what the papers mean, where they disagree, and what their limitations are. And he works with the sources you provide - he helps you design the search strategy to find them, not pretend to access databases live.
What you get
PubMed Search Strings with MeSH Terms
Hugo turns your review question into a PubMed search string you can paste into Advanced Search and run yourself, built line by line so every block's hit count is visible.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load Literature Reviewer AI Skill from KissMySkills."
Hugo designs review structures, identifies themes and debates across sources, writes thematically organised critical synthesis sections, and produces gap analyses - so your literature review argues a position rather than summarising each paper in turn.
Yes. Hugo turns your concept blocks into a PubMed string: MeSH headings from the MeSH Database paired with [tiab] free-text synonyms, truncation and phrases, built line by line in Advanced Search with justified limits and a search log. Hugo cannot run the search; you run it and he helps fix it from the hit counts.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, and any AI chat accepting system prompts. Claude's long-context capability makes it the strongest choice for Hugo's multi-source synthesis workflow.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.