How do I install the Literature Review skill?

Run npx skillmds@latest add collaborative-deep-research/literature-review in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Literature Review safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Literature Review?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Literature Review free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Literature Review?

collaborative-deep-research (@collaborative-deep-research) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Literature Review by collaborative-deep-research

Name: Literature Review
Rating: 4.2 (5 reviews)
Author: collaborative-deep-research

File contents

Conduct a systematic literature review on "$ARGUMENTS" using the paper and paper-search CLI tools.

1. Define Scope

Before searching, clarify with the user:

Topic boundaries and key terms
Year range (default: last 5 years)
Target venues or communities (if any)
Desired number of papers (default: 15-20 core papers)

2. Multi-Query Search

Search with multiple query variations to maximize coverage:

paper-search semanticscholar papers "<main query>" --limit 20 --year <range>
paper-search semanticscholar papers "<synonym query>" --limit 20 --year <range>
paper-search semanticscholar papers "<related query>" --limit 20 --year <range>
paper-search google scholar "<topic>"

Deduplicate results by title/paper ID.

3. Triage

For each unique paper found:

paper-search semanticscholar details <paper_id>
paper skim <arxiv_id> --lines 2

Categorize as: highly relevant / somewhat relevant / not relevant.

4. Deep Analysis

For highly relevant papers:

paper outline <arxiv_id>
paper read <arxiv_id> introduction
paper read <arxiv_id> method
paper read <arxiv_id> results
paper read <arxiv_id> conclusion

Take structured notes on each paper: problem, method, key results, limitations.

5. Citation Graph Exploration

For seminal papers, find related work:

paper-search semanticscholar citations <paper_id> --limit 20
paper-search semanticscholar references <paper_id> --limit 20

Add any important papers discovered this way back to the triage step.

6. Produce Report

Organize findings by theme, not by paper. Include:

Overview of the field and its evolution
Key methods and approaches (with comparisons)
Main results and findings
Open questions and future directions
Complete reference list with paper IDs and URLs
BibTeX entries for all cited papers (use paper bibtex <arxiv_id> to generate)

Guidelines

Aim for breadth first: cover all major approaches before going deep on any one.
Note citation counts and venues to gauge paper impact.
Flag contradictory findings explicitly.
Distinguish between empirical results and theoretical claims.

---name: literature-reviewdescription: Conduct a systematic literature review on an academic topic. Use when the user asks for a literature review, survey, or systematic overview of a research area.--- Conduct a systematic literature review on "$ARGUMENTS" using the `paper` and `paper-search` CLI tools. ## 1. Define Scope Before searching, clarify with the user: - Topic boundaries and key terms - Year range (default: last 5 years) - Target venues or communities (if any) - Desired number of papers (default: 15-20 core papers) ## 2. Multi-Query Search Search with multiple query variations to maximize coverage: ``` paper-search semanticscholar papers "<main query>" --limit 20 --year <range> paper-search semanticscholar papers "<synonym query>" --limit 20 --year <range> paper-search semanticscholar papers "<related query>" --limit 20 --year <range> paper-search google scholar "<topic>" ``` Deduplicate results by title/paper ID. ## 3. Triage For each unique paper found: ``` paper-search semanticscholar details <paper_id> paper skim <arxiv_id> --lines 2 ``` Categorize as: **highly relevant** / **somewhat relevant** / **not relevant**. ## 4. Deep Analysis For highly relevant papers: ``` paper outline <arxiv_id> paper read <arxiv_id> introduction paper read <arxiv_id> method paper read <arxiv_id> results paper read <arxiv_id> conclusion ``` Take structured notes on each paper: problem, method, key results, limitations. ## 5. Citation Graph Exploration For seminal papers, find related work: ``` paper-search semanticscholar citations <paper_id> --limit 20 paper-search semanticscholar references <paper_id> --limit 20 ``` Add any important papers discovered this way back to the triage step. ## 6. Produce Report Organize findings **by theme, not by paper**. Include: - Overview of the field and its evolution - Key methods and approaches (with comparisons) - Main results and findings - Open questions and future directions - Complete reference list with paper IDs and URLs - BibTeX entries for all cited papers (use `paper bibtex <arxiv_id>` to generate) ## Guidelines - Aim for breadth first: cover all major approaches before going deep on any one. - Note citation counts and venues to gauge paper impact. - Flag contradictory findings explicitly. - Distinguish between empirical results and theoretical claims.

Frequently asked questions

Literature Review