name: literature-review description: Gather and synthesize academic literature for a research question, then use findings to inform study design and analysis.
Literature Review
Systematic process for finding academic resources relevant to a research question and using them to strengthen study design.
When to use this skill
- At the start of a study, before writing
plan.md - When the user asks to ground their research in existing literature
- When designing survey instruments that should reference established constructs or scales
- When choosing analysis methods and needing precedent
Step 1: Clarify the research question
Before searching, ensure you have a focused research question. Ask the user if needed. A good research question has:
- A clear population or domain (e.g., "US consumers", "software engineers", "LLM agents")
- A specific phenomenon or relationship (e.g., "willingness to pay for privacy", "effect of framing on choices")
- A defined outcome or construct (e.g., "purchase intent", "trust", "response quality")
Write the refined research question to literature/research_question.md in the study directory.
Step 2: Search for literature
Use WebSearch to find relevant academic papers, working papers, and review articles. Run multiple searches with varied queries to get good coverage.
Search strategy
Run at least 3-5 searches using different angles:
# Direct topic search
WebSearch: "{core topic}" site:scholar.google.com
# Key constructs + methodology
WebSearch: "{construct}" survey experiment methodology
# Established scales or measures
WebSearch: "{construct}" validated scale measurement instrument
# Recent reviews or meta-analyses
WebSearch: "{topic}" systematic review OR meta-analysis
# Domain-specific searches
WebSearch: "{topic}" site:ssrn.com
WebSearch: "{topic}" site:arxiv.org
WebSearch: "{topic}" site:nber.org
What to look for
- Foundational papers — Seminal work that defined the constructs or theory
- Methodological precedents — Studies that used similar designs (surveys, experiments, conjoint, etc.)
- Validated instruments — Established question scales or measurement approaches
- Recent work — Papers from the last 3-5 years showing the current state of knowledge
- Contradictions or gaps — Areas where findings conflict or where evidence is thin
Step 3: Read and extract key information
For each promising source, use WebFetch to access the content where possible (preprints, open-access papers, abstracts). Extract:
- Citation (authors, year, title, venue)
- Research question / hypothesis
- Method (sample size, design, instruments used)
- Key findings (effect sizes, main results)
- Relevance (how it connects to the current study)
Step 4: Write the literature summary
Create literature/review.md in the study directory with the following structure:
# Literature Review: {Research Question}
## Overview
{2-3 paragraph synthesis of what the literature says about this topic}
## Key Themes
### Theme 1: {name}
{Summary of findings across papers}
- Source 1 (Author, Year): {key finding}
- Source 2 (Author, Year): {key finding}
### Theme 2: {name}
...
## Methodological Insights
{What methods have been used to study this? What worked well?
What sample sizes were typical? What validated scales exist?}
## Gaps and Opportunities
{What hasn't been studied? Where do findings conflict?
What would a new study contribute?}
## Implications for Study Design
{Specific recommendations for how to design the current study,
informed by the literature:}
- Suggested constructs to measure
- Recommended question types or scales
- Sample size considerations
- Potential confounds to control for
- Analysis approaches used in prior work
## References
{Full list of cited sources}
Step 5: Connect to study design
After completing the review, use the findings to:
- Inform the plan — Reference literature findings in
plan.mdto justify design choices - Adopt validated measures — Use established scales rather than inventing new questions where possible
- Set expectations — Note expected effect sizes or base rates from prior work
- Identify controls — Include covariates or conditions that the literature suggests matter
- Frame the contribution — Articulate what the study adds beyond existing work
File organization
study_root/
literature/
research_question.md # Refined research question
review.md # Full literature review
sources/ # (optional) saved PDFs or key excerpts
plan.md # References literature findings
Tips
- Breadth first, then depth. Start with broad searches to map the landscape, then drill into the most relevant papers.
- Don't over-search. 10-20 well-chosen sources are better than 50 superficial ones. Stop when you start seeing the same papers cited repeatedly.
- Distinguish empirical from theoretical. Note which sources report original data vs. which are reviews or opinion pieces.
- Note methodology details. Sample sizes, response rates, and effect sizes from prior work directly inform your study design.
- Be honest about gaps. If the literature is thin in an area, say so — that's a strong motivation for the study.
- Use author names. When searching, once you find a key paper, search for the authors' other work — they often have related studies.