skills/15-Felpix-Studios-social-science-research/skills/lit-review/SKILL.md
Structured literature review using a parallel fleet of Librarian agents. Searches top journals, working paper repositories (NBER, SSRN, IZA), and traces citation chains from key papers. Make sure to use this skill whenever the user wants to survey existing research on a topic — not to find datasets or write a paper. Triggers include: "review the literature", "find related papers", "what's been done on X", "search for papers on", "do a lit review", "find papers about", "what papers should I cite", "who has written about this", "survey the literature", "find prior work on", or any request to locate and summarize academic publications on a topic.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research lit-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Conduct a systematic literature review using a parallel fleet of Librarian agents, each searching a different angle. Citation chains from anchor papers are the highest-yield search vector and always run when anchor papers are available.
Input: $ARGUMENTS — a topic, research question, or the title of a known key paper.
quality_reports/project_spec_*.md or quality_reports/research_*.md if they exist — extract the research question and identification strategy.references/papers/ — list any PDFs already on hand..bib file (Bibliography_base.bib or any .bib at project root) — extract paper titles and authors already known.references/domain-profile.md if it exists — get the field's journal list and key researchers.If references/domain-profile.md does not exist, use AskUserQuestion to determine the field:
Dispatch 3–5 Librarian agents in parallel using Task. Each gets a specific search angle, the topic, and the anchor papers (if any).
Librarian 1 — Top Journals:
Task prompt: "You are a Librarian agent. Topic: [topic]. Search angle: Top Journals.
Field: [field from domain-profile or user answer].
Top journals to search: [list from domain-profile, or infer for field].
Anchor papers (for context only): [list].
Find the 8-12 most relevant published papers from the past 10 years.
For seminal papers, go back further. Follow the Librarian agent instructions."
Librarian 2 — Working Papers (NBER + SSRN + IZA):
Task prompt: "You are a Librarian agent. Topic: [topic]. Search angle: NBER + SSRN + IZA.
Search NBER (site:nber.org), SSRN (site:ssrn.com), and IZA (site:iza.org/publications/dp)
for recent working papers on this topic. Find 6-10 working papers.
Flag all as working papers. Follow the Librarian agent instructions."
Librarian 3 — Secondary Journals + Adjacent Fields:
Task prompt: "You are a Librarian agent. Topic: [topic]. Search angle: Secondary Journals.
Field: [field]. Secondary journals: [list from domain-profile, or search broadly].
Also search adjacent fields that might have relevant methodology or findings.
Find 5-8 papers. Follow the Librarian agent instructions."
Librarian 4 — Backward Citation Chain:
Task prompt: "You are a Librarian agent. Topic: [topic]. Search angle: Citation Chain — BACKWARD.
Anchor papers: [title, authors, year for each].
For each anchor paper: use Semantic Scholar API to find what it cites.
Extract 8-12 most relevant references from the combined reference lists.
These are the papers the anchor papers build on — the theoretical and empirical foundations.
Follow the Librarian agent instructions for citation chain search."
Librarian 5 — Forward Citation Chain:
Task prompt: "You are a Librarian agent. Topic: [topic]. Search angle: Citation Chain — FORWARD.
Anchor papers: [title, authors, year for each].
For each anchor paper: use Semantic Scholar API to find who cites it.
Focus on papers published in the last 3 years — these represent the active research frontier.
Find 8-12 most relevant papers that cite the anchor papers.
Follow the Librarian agent instructions for citation chain search."
Why citation chains beat keyword search: The papers that cite your anchor papers are by definition working on the same problem. The papers your anchor papers cite are the foundations your paper must engage with. These vectors find papers that keyword searches miss entirely.
After all Librarians complete:
FLAG by a Librarian — do not include in final BibTeX without manual verification.Sort papers into these categories:
For each category, write a 2–3 paragraph synthesis (not just a list).
List 3–5 specific gaps the reviewed literature leaves open:
For each gap: "No paper has examined X in context Y using method Z. This matters because..."
Save to quality_reports/lit_review_[sanitized_topic].md:
# Literature Review: [Topic]
**Date:** [YYYY-MM-DD]
**Search strategy:** [N Librarians — journals, NBER/SSRN/IZA, citation chains from: [anchor papers]]
**Papers reviewed:** N total (M published, K working papers)
## Summary
[3-paragraph overview of the state of the literature]
## Key Papers
### [Author(s) (Year)] — [Short Title]
- **Venue:** [Journal / NBER wXXXX / IZA DP XXXX]
- **Method:** [Identification strategy + data]
- **Key finding:** [Result with effect size]
- **Relevance:** [Why it matters for our question]
- **Found via:** [Librarian source]
[Repeat for all papers, ordered by relevance]
---
## Thematic Organization
### Theoretical Contributions
[Synthesis paragraph(s)]
### Empirical Findings
[Synthesis comparing results across studies]
### Methodological Innovations
[Methods relevant to our research question]
### Open Debates
[Conflicting findings and unresolved questions]
---
## Gaps and Opportunities
1. [Gap 1 — specific and actionable]
2. [Gap 2]
3. [Gap 3]
---
## Suggested Next Steps
- Papers to read in full: [list 3-5 highest priority]
- `/data-finder [topic]` — identify datasets for the priority research question
- `/validate-bib` after incorporating new citations into the manuscript
---
## BibTeX Entries
```bibtex
[all verified entries]
[Papers Librarians marked FLAG — verify before citing]
---
## Important
- **Working papers change.** Note the date retrieved for all working papers.
- **Do not include flagged papers in the BibTeX block.** Move them to the Flagged section.
- **Citation chains are the most productive vector.** Librarians 4 and 5 often find the most important missing papers — always dispatch them when anchor papers are available.
- **Recommend `/validate-bib`** after the user incorporates new citations into the manuscript.
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.