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literature-review · collaborative-deep-research — Claude Code skill: systematic literature review

Runs a systematic literature review on an academic topic: searches papers, triages results, reads key works and writes a themed report.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add collaborative-deep-research/agent-papers-cli --skill literature-review -a claude-code
Open on GitHub

What literature-review does

The skill drives a full review cycle through the paper and paper-search CLI tools. It first pins down topic boundaries, a year range and a target paper count, then searches Semantic Scholar and Google Scholar with several query variations and deduplicates by title or paper ID.

Results get sorted into three relevance buckets. For the most relevant papers the skill reads introduction, method, results and conclusion separately, keeping structured notes on problem, method, findings and limitations. From seminal papers it walks the citation graph in both directions to catch related work.

The output is a report organised by theme rather than by paper: field overview, method comparisons, open questions, a reference list with paper IDs and BibTeX entries. You need paper and paper-search installed, plus Bash, Read, Glob, Grep and Write among allowed tools. The skill defaults to the last 5 years and 15-20 papers, so set both explicitly when the topic is narrow.

What it helps with

  • build a field overview from scratch
  • filter irrelevant papers out of search results
  • compare methods across papers
  • trace related work through the citation graph
  • export BibTeX for every cited paper

Example prompts for the agent

  • Run a systematic literature review on graph neural networks for drug discovery
  • Do a literature review on quantum computing over the last 5 years
  • Put together a survey of model compression methods, 20 papers

How to install literature-review

1Skills CLI (Vercel)

npx skills add collaborative-deep-research/agent-papers-cli --skill literature-review -a claude-code

2Manually: put the files in place

~/.claude/skills/literature-review/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/literature-review/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about literature-review

How do I install literature-review in Claude?

Run npx skills add collaborative-deep-research/agent-papers-cli --skill literature-review -a claude-code. The skill then lands in ~/.claude/skills/literature-review/SKILL.md.

What does literature-review do?

It conducts a systematic review of an academic topic: searches papers, triages them, reads the key works and produces a themed report with BibTeX.

What tools does the skill need?

The paper and paper-search CLI tools, plus access to Bash, Read, Glob, Grep and Write.

Source text

SKILL.md · Apache-2.0
---
name: literature-review
description: 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.
argument-hint: [topic]
allowed-tools: Bash, Read, Glob, Grep, Write
---

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.

© collaborative-deep-research · Apache-2.0 · collaborative-deep-research/agent-papers-cli

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