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How to draft a literature review with traceable citations with Scientific Agent Skills

Synthesize papers on a topic and keep each claim linked to a citable source.

  • Research
  • Intermediate
  • 45 minutes
  • From the README
  • Claude Code
  • Codex
  • Cursor

Who it is forA graduate student or principal investigator preparing a related-work section who needs claims tied to real sources.

The problemLiterature summaries often drift from the sources, and citations get lost during drafting.

The outcomeA draft review where each claim points to a source, with a bibliography ready for a reference manager.

What you need first

  • An agent host that supports Agent Skills, such as Claude Code, Cursor, or Codex
  • Git, to clone the repository (inferred)
  • Python, since the repository language is Python
  • API keys or accounts for any registered or licensed database you plan to query

Steps

  1. git clone https://github.com/K-Dense-AI/scientific-agent-skills (inferred, check the README)
  2. Follow the install steps in the Getting Started section of the README for your agent host.
  3. Find the scientific communication skills for evidence-traceable writing, literature synthesis, and citation management under skills/.
  4. Give your agent a list of papers or a search topic and a target length.
  5. Read each claim against its source before you submit the draft.

Prompt for your agent

Using the scientific-agent-skills repo and its evidence-traceable writing and literature synthesis skills, write a literature review on <topic> from the papers listed in <paper list>. Return a draft with a citation after each claim and a matching bibliography. Verify that every cited claim appears in the named source.

Caveat. The README describes these writing skills but does not say how the agent reads paper full text, so supply the papers yourself and check the citations.

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