literature-review

Conduct comprehensive literature reviews using multi-perspective dialogue simulation. Generate diverse expert personas, conduct grounded Q&A conversations, and synthesize findings into structured knowledge. Use when starting a new research project or writing a survey section.

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Repository: lingzhi227/agent-research-skills
Last source activity: February 20, 2026 at 05:22
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name	literature-review
description	Conduct comprehensive literature reviews using multi-perspective dialogue simulation. Generate diverse expert personas, conduct grounded Q&A conversations, and synthesize findings into structured knowledge. Use when starting a new research project or writing a survey section.
argument-hint	["topic"]

Literature Review

Conduct deep literature reviews through multi-perspective dialogue and systematic search.

Input

$0 — Research topic or question
$1 — Optional: specific focus or angle

References

Multi-perspective dialogue prompts (STORM): ~/.claude/skills/literature-review/references/dialogue-prompts.md
Literature review workflow (AgentLaboratory): ~/.claude/skills/literature-review/references/review-workflow.md

Scripts (from literature-search skill)

# Search Semantic Scholar
python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py --query "topic" --max-results 20

# Search OpenAlex
python ~/.claude/skills/literature-search/scripts/search_openalex.py --query "topic" --max-results 20

# Search arXiv
python ~/.claude/skills/deep-research/scripts/search_arxiv.py --query "topic" --max-results 10

Workflow

Step 1: Generate Expert Personas (from STORM)

Given the topic, create 3-5 diverse expert personas:

Each represents a different perspective, role, or research angle
Example: "ML systems researcher focused on efficiency", "Theoretical statistician concerned with guarantees"
Use the persona generation prompts from references

Step 2: Multi-Perspective Dialogue

For each persona, simulate a multi-turn Q&A conversation:

Persona asks a question from their unique angle
Generate search queries from the question
Search literature using the search scripts
Synthesize an answer grounded in retrieved papers with inline citations
Record the dialogue turn with search results
Repeat for 3-5 turns per persona
End when persona says "Thank you so much for your help!"

Step 3: Synthesize Knowledge

Combine all persona conversations into a unified knowledge base
Remove redundancy across personas
Organize by theme/subtopic
Generate an outline based on the collected information

Step 4: Generate Literature Review

Write a structured review organized by the generated outline
Every claim must be supported by a citation
Include a summary table of key papers (method, contribution, limitations)

Output

A structured literature review with:

Outline — Hierarchical topic structure
Per-section summaries — Each grounded in retrieved papers
Paper database — Structured entries for all reviewed papers
Knowledge gaps — Identified areas needing further investigation

Rules

Every sentence in the review must be supported by gathered information
If information is not found, explicitly state the gap
Cite broadly — cover diverse approaches, not just the most popular
Include recent papers (last 2-3 years) alongside foundational work
Use inline citations: "Smith et al. [1] propose..."

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