skills/60-regisely-superpapers/skills/journal-selection/SKILL.md
Use when choosing a target journal for a paper, comparing journal rankings, asking "where should I submit this", or building a submission strategy across multiple journals. Field-agnostic — detects the paper's research area and suggests appropriate outlets across tiers.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research journal-selectionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
This skill helps select target journals for a paper based on current web information. It does not maintain a static journal database — journal scopes, rankings, and editorial direction change, and stale data gives bad advice. Instead, every recommendation is verified via web fetch in the current session. The skill is field-agnostic: it detects the paper's research area and suggests appropriate outlets across ambition tiers.
Identify the paper's field and contribution level from the abstract, topic, and the user's stated ambition. The field determines which rankings and database subsets apply.
Search journals via web search — do not use a static list or cached knowledge. Journal scopes, rankings, and editorial boards change.
Verify each candidate via web fetch on the journal's official homepage. Confirm it is still active, currently accepting submissions, and matches the paper's topic. If the journal has changed scope or is no longer active, drop it.
Check rankings appropriate to the user's context:
Present 5-8 options in a markdown table with columns:
JournalAreaRanking (field-appropriate, with source)Avg. Review Time (when available)Submission FeeFit (substantive reasoning, not "interesting")Tier (ambitious / realistic / safety)Mix tiers: 1-2 ambitious targets, 3-4 realistic, 1-2 safety options. The strategy matters more than individual choices — a submission plan needs fallbacks.
Include regional and national journals when relevant. If the user is Brazilian or the paper targets a Brazilian audience, include strong national journals (e.g., Revista Brasileira de Economia, Dados, Cadernos de Saúde Pública) alongside international options. Do not default to English-language journals only.
| Journal | Area | Ranking | Review Time | Fee | Fit | Tier |
|---|---|---|---|---|---|---|
| American Economic Review | General econ | JCR Q1, RePEc top-5 | ~6 months | 0 | Requires general-interest contribution; strong identification strategy needed | Ambitious |
| Journal of Development Economics | Development | JCR Q1 | ~9 months | 0 | Strong fit for development topic; accepts both experimental and observational | Realistic |
| World Development | Development, policy | JCR Q1 | ~6 months | 0 | Interdisciplinary, policy-oriented, shorter turnaround | Realistic |
| Revista Brasileira de Economia | Econ (Brazil) | Qualis A2 | ~3 months | 0 | Strong national reach; fast review | Safety |
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.