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Skills directory/bytedance/deer-flow/systematic-literature-review

Systematic Literature Review Skill for ChatGPT: Document Screening and Evidence Across Papers

Draft a traceable review from supplied search results or a paper inventory. Preserve scope, eligibility, study methods, findings, and limitations before synthesizing themes.

中文

Install in ChatGPT

Requires a ChatGPT workspace where you can create skills. This is a text adaptation of the pinned GitHub source.

  1. Review the inputs and outputs in the pinned skills/public/systematic-literature-review/SKILL.md.
  2. In ChatGPT, open Plugins, Skills, Create, and Create with editor.
  3. Write the skill rules using the workflow described here. Provide the research question, search log or paper list, inclusion criteria, and citation format.
  4. Save the skill and check the fictional example in a new chat.

Example task

A fictional question asks whether mobile form autofill reduces entry errors. The input contains two controlled mobile studies and one uncontrolled desktop study. Screen the papers and build an evidence table.

What to check

Include the two studies matching the mobile controlled criteria and explain the desktop exclusion. Keep tasks, samples, measures, and abstract-level evidence scope visible.

Original SKILL.md on GitHub · Updated 2026-11-13

Frequently asked question

Can two studies establish exhaustive coverage?

Record databases, queries, dates, and screening scope. State the confirmed coverage and identify additional searches if the set is limited.

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