literature-review

Q: How do I install literature-review?

Run npx skills add https://github.com/lingzhi227/agent-research-skills --skill literature-review in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/literature-review/ (personal) or .claude/skills/literature-review/ (project).

by lingzhi227Code Quality & Workflow

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.

Installs: 4K
Last 24h: —
Trending rank: —
Security: Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/lingzhi227/agent-research-skills --skill literature-review

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads literature-review automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill conducts literature reviews by searching trusted academic databases like arXiv, Semantic Scholar, and OpenAlex. It synthesizes research through persona-based dialogues and grounding, following established methodologies without malicious behavior.

Socket PassNo alerts

Snyk WarnMEDIUM ·Risk: MEDIUM · 1 issue

Runlayer WarnMEDIUM ·3/3 files flagged

ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

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..."

Related Skills

Upstream: literature-search, deep-research
Downstream: related-work-writing, research-planning
See also: survey-generation

FAQ

What does the literature-review skill do?

How do I install literature-review?

Run npx skills add https://github.com/lingzhi227/agent-research-skills --skill literature-review in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/literature-review/ (personal) or .claude/skills/literature-review/ (project).

Which AI agents can use literature-review?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is literature-review safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains literature-review?

It is published by lingzhi227 in lingzhi227/agent-research-skills. It has 4,002 recorded installs.