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Systematic review

Skill thada2402/AutoResearchClaw/researchclaw/skills/builtin/experiment/systematic-review

Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.From its SKILL.md

Install
npx -y skills add thada2402/AutoResearchClaw --skill systematic-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.0 KB, 126 tokens by cl100k_base, as published. Nobody here has run it

Systematic Review Best Practice

Follow PRISMA-like methodology for literature search:

  1. Define clear inclusion/exclusion criteria BEFORE searching
  2. Use multiple databases (Semantic Scholar, arXiv, OpenAlex)
  3. Search with both broad and narrow queries
  4. Screen by title/abstract first, then full text
  5. Extract: method, dataset, metrics, key findings
  6. Synthesize gaps and opportunities, not just summaries
  7. Prioritize recent (last 2-3 years) high-citation papers
  8. Include at least one seminal/foundational paper per sub-topic

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.