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/lit-review

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 —

From plugin
auto-empirical-research-skills
3.3k200 skills146 agents
Install
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lit-review --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/lit-review

Context preview

The summary Claude sees to decide when to auto-load this skill.

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 —

SKILL.md

lit-review.SKILL.md
name: lit-review
description: >-
  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.
argument-hint: "[topic, research question, or anchor paper title]"
allowed-tools: ["Read", "Grep", "Glob", "Write", "WebSearch", "WebFetch", "Task", "AskUserQuestion"]

Literature Review

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.

---

Step 1: Orient and Gather Context

1. Read `quality_reports/project_spec_*.md` or `quality_reports/research_*.md` if they exist — extract the research question and identification strategy. 2. Check `references/papers/` — list any PDFs already on hand. 3. Read the project `.bib` file (`Bibliography_base.bib` or any `.bib` at project root) — extract paper titles and authors already known. 4. Read `references/domain-profile.md` if it exists — get the field's journal list and key researchers. 5. Identify **anchor papers**: the 1–3 most central known papers (from existing bib or supporting docs). These seed the citation chain search.

If `references/domain-profile.md` does not exist, use AskUserQuestion to determine the field:

  • header: "Field"
  • question: "What field is this research in? This determines which journals and repositories the librarian agents search."
  • options:
  • label: "Economics", description: "AER, QJE, Econometrica, JPE, ReStud + NBER/IZA"
  • label: "Political Science", description: "APSR, AJPS, JOP, CPS, World Politics"
  • label: "Sociology", description: "ASR, AJS, Social Forces, Demography"
  • label: "Public Health", description: "NEJM, Lancet, JAMA, AJE"

---

Step 2: Assign Librarians

Dispatch **3–5 Librarian agents** in parallel using `Task`. Each gets a specific search angle, the topic, and the anchor papers (if any).

Always dispatch (3 minimum):

**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."

Add when anchor papers are available (dispatch 4th and 5th):

**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.

---

Step 3: Consolidate and Deduplicate

After all Librarians complete:

1. Merge all paper lists from all Librarians. 2. Deduplicate: if the same paper appears from multiple sources, keep one entry and note "Found via: [multiple sources]" — cross-source confirmation increases confidence. 3. Flag any papers marked `FLAG` by a Librarian — do not include in final BibTeX without manual verification. 4. Total target: 20–40 papers (quality over quantity).

---

Step 4: Organize Thematically

Sort papers into these categories:

  • **Theoretical Contributions** — models, mechanisms, frameworks
  • **Empirical Findings** — key results, effect sizes, data used
  • **Methodological Innovations** — estimators, identification strategies, inference
  • **Open Debates** — unresolved disagreements, conflicting findings

For each category, writ

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📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |

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