skills/60-regisely-superpapers/skills/literature-search/SKILL.md
Use when the user asks to search for papers, review literature, find references on a topic, verify a paper exists, or build a bibliography. Enforces web verification of every citation via web fetch to prevent hallucinated references.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research literature-searchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill searches academic literature with strict web verification of every result. The primary anti-pattern it prevents is hallucination of citations — plausible-sounding papers that do not exist. Every paper returned must be fetched from the web and confirmed to be real before it enters the output.
This skill operates in two modes. The caller specifies which.
Used during brainstorm to verify a research gap exists. Scope: 1-2 targeted queries, 5-8 results maximum, no bibliography file output. Web-verify every result (the anti-hallucination rule still applies). Output the standard markdown table but do not populate references.bib.
Used during execute-plan's Literature phase. Run all Mandatory Steps below. Curate 15-30 references, bias toward target journals, populate references.bib via citation-management, produce literature notes. This is the default when no mode is specified.
Identify the research field from context. Resolve CLAUDE.superpapers.md by reading it from the current working directory, or walking up parent directories until found. If the file contains a field entry, use it. Otherwise infer from the project abstract or ask the user directly. The field determines which databases to prioritize.
Choose databases based on the field:
Search with specific queries, not broad terms. Include methodology keywords when relevant. For example, prefer "difference-in-differences" minimum wage employment over minimum wage.
For every candidate paper, web-fetch the landing page. Confirm title, authors, year, and DOI from the authoritative source. If the paper cannot be fetched and verified, mark it as [unverified] and exclude it from the final list.
Output a markdown table with columns: Authors (Year), Title, Venue, DOI, Relevance. Keep the relevance column to a single line of substantive justification.
Curate, do not dump. Prioritize seminal works, recent papers (last five years), highly cited results, and papers that directly address the user's question. Aim for 8 to 15 results per query unless the user asks for more.
Bias toward the user's target journals. Use the target journal list resolved from CLAUDE.superpapers.md in step 1, or ask the user if the file was absent or the field was unset. Ensure a substantial share of cited references come from those journals or closely related ones in the same field tier. Prioritize very recent publications (last three to five years) in those outlets — reviewers expect to see that the authors know the journal's recent conversation. If a search returns few results from the target journals, widen to journals of similar scope and rank, but flag the gap to the user.
| Authors (Year) | Title | Venue | DOI | Relevance |
|---|---|---|---|---|
| Card & Krueger (1994) | Minimum Wages and Employment | American Economic Review | 10.xxxx/xxxxx | Seminal DiD on minimum wage; identifies employment effects |
| Dube et al. (2010) | Minimum Wage Effects Across State Borders | Review of Economics and Statistics | 10.xxxx/xxxxx | Border-pair design, finds no disemployment effect |
Replace example DOIs with real verified values. Never leave placeholder DOIs in the final output.
[unverified] entries in the final tabletools
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.