- 📁 agents/
- 📁 examples/
- 📁 references/
- 📄 SKILL.md
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, and Socratic guided modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review.
Search, read, and query research papers via the `alpha` CLI (alphaXiv-backed). Use when the user asks about academic papers, wants to find research on a topic, needs to read a specific paper, ask questions about a paper, inspect a paper's code repository, or manage paper annotations.
- 📄 identification-strategies.md
- 📄 latex-tips.md
- 📄 review-checklist.md
Expert economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists. USE THIS SKILL whenever the user writes, edits, reviews, rewrites, or structures any economics paper, thesis, job market paper, abstract, introduction, conclusion, results section, literature review, or referee response. Also handles LaTeX formatting, presentations, and paper audits. Covers all paper types (applied, theory, structural, mixed) and all sections.
- 📁 guardrails/
- 📁 knowledge/
- 📁 pipeline/
- 📄 SKILL.md
Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.
Guide for writing the abstract of an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an abstract for an economics paper - whether empirical micro, development economics, applied economics, or related fields. Also trigger when the user mentions "abstract," "paper summary," or asks how to compress their findings into a short description. This skill synthesizes best practices from David Evans (CGDev), Marc Bellemare, and patterns observed in top economics journals (AER, QJE, AEJ: Applied, etc.). --- # How to Write the Abstract of an Economics Paper A lot of people will read no further than the abstract of your paper to decide whether it is worth reading, sharing, or citing. Some will not even get past the title. The abstract is your most compressed sales pitch: it must tell the reader what you did and what you found, clearly and fast. This skill is based primarily on David Evans' analysis of abstracts in top economics journals, supplemented by Marc Bellemare's writing advice, empirical research on abstract readability, and common patterns from AER, QJE, and AEJ: Applied papers. ## The Evidence on What Works Before getting to structure, two empirical facts worth knowing: **Readability predicts citations.** Dowling and others examined abstracts in Economics Letters and found that abstracts with simpler words and shorter sentences were associated with more citations. As Bellemare puts it: do not confuse lack of intelligibility with intellectual rigor. **Accessibility expands your audience.** Bellemare's rule of thumb: if your title is not repellent and your abstract is intelligible to people outside your narrow subfield, you have expanded the scope of your citations tenfold - because many people cite papers they have only read the abstract of. --- ## The Core Structure Abstracts in top economics journals follow a compressed version of the introduction formula. Evans identifies five ingredients of a good
- 📁 agents/
- 📁 assets/
- 📁 docs/
- 📄 .gitignore
- 📄 LICENSE
- 📄 Makefile
学术论文搜索、引用分析与元数据提取专用 Skill。 【自动触发条件——出现以下任一信号时立即加载本 Skill，无需用户显式说明】 意图信号（中文）： - 搜论文 / 找论文 / 查论文 / 调研论文 / 检索文献 / 文献综述 / 综述 - 顶会 / 顶刊 / CCF / NeurIPS / ICML / ICLR / ACL / EMNLP / CVPR / KDD / SIGIR / WWW - 引用数 / 被引 / 引用关系 / 引用量 - BibTeX / 参考文献格式 / 导出引用 - 作者发表列表 / 某人的论文 / 某人在哪发了什么 - arXiv / Semantic Scholar / Google Scholar / PubMed / ACM DL / IEEE - 知网 / CNKI / 中国知网 / 学位论文 / 硕士论文 / 博士论文 / 中文文献 / 中文期刊 - PDF 链接 / 论文 PDF / 开放获取 - 摘要 abstract / 元数据 意图信号（英文）： - search paper / find paper / look up paper / literature review / survey - citation count / citation graph / citing / cited by - BibTeX / reference export - top conference / top journal / venue ranking - author publication list / papers by X URL 信号（出现以下域名的链接时自动触发）： - arxiv.org / ar5iv.org - semanticscholar.org - scholar.google.com - dl.acm.org - ieeexplore.ieee.org - pubmed.ncbi.nlm.nih.gov - paperswithcode.com - cnki.net / kns.cnki.net 覆盖平台：arXiv、Semantic Scholar、Google Scholar、ACM DL、IEEE Xplore、PubMed、Papers with Code、CNKI（中国知网）
- 📁 experiment-design/
- 📁 idea-generation/
- 📁 paper-reading/
- 📄 CLAUDE.md
- 📄 LICENSE
- 📄 README.md
Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Trigger keywords: read paper, brainstorm, experiment design, prove, write paper, review, professor fit, advisor, cold email, LaTeX, research, NeurIPS, ICLR, ACL, arXiv, 讀論文, 寫論文, 審稿, 實驗設計, 數學證明, 研究方向, 教授分析, 選指導教授.
- 📁 scripts/
- 📄 .gitignore
- 📄 config.example.yaml
- 📄 LICENSE
OpenClaw personalized paper recommendation skill. When the user invokes /aminer-rec5 or /skill aminer-rec5 in Feishu, immediately run the local pipeline under {baseDir}/scripts/, accept aminer_user_id, scholar hints, seed paper titles, papers_file, or free-form topic text, build a unified ResearchProfile, retrieve papers, enrich with AMiner, dispatch Feishu cards, and return NO_REPLY.
- 📁 evals/
- 📁 scripts/
- 📄 .gitignore
- 📄 citation-guide.md
- 📄 SKILL.md
Generate accurate BibTeX entries from authoritative sources (DBLP, ACL Anthology, PMLR, CrossRef, arXiv). Use this skill whenever the user needs a citation, BibTeX entry, bibliography fix, or wants to look up where/whether a paper was published — even if they don't explicitly say "BibTeX." Triggers on: paper titles, arXiv IDs, DOIs, DBLP keys, "cite this paper", "add to references", reference list verification, or any academic citation task. --- # make-bib `$ARGUMENTS` — accepts `arxiv:ID`, `doi:ID`, `dblp:KEY`, `openreview:ID`, a title in quotes, or an abbreviation. For background on how bibliographic sources work and their reliability characteristics, see `${CLAUDE_SKILL_DIR}/citation-guide.md`. ## Principles Each principle exists because a specific class of citation error is common and hard to catch after the fact. **Ask when uncertain.** Citations involve judgment calls — which of two similar titles is the right paper, whether something is workshop or main track, what venue a paper belongs to. Guessing wrong means the user silently gets a wrong citation in their manuscript. Use `AskUserQuestion` for any ambiguous case: multiple candidates, unclear venue, conflicting metadata across sources. **One source per entry.** Every field in a BibTeX entry (title, authors, year, venue) should come from the same source. Mixing metadata across sources — even "just the author order" from a different database — creates entries where no single source can verify the whole record. If sources disagree on a field, use the chosen source as-is or ask the user. **Discovery tools are not citation sources.** Semantic Scholar and Google Scholar optimize for finding papers, not for metadata accuracy. Their venue names, dates, and author formatting frequently contain errors. Use them to locate papers and collect external IDs, then get the actual BibTeX from authoritative sources downstream. **Honest representation.** Citing a preprint as a published paper (or vice versa) is academic misrep
- 📁 agents/
- 📁 references/
- 📄 SKILL.md
Public skill for installing, running, debugging, improving, and handing off a Paper Reader style product built with Next.js and FastAPI. Use when the user wants to work on a paper discovery and recommendation app with ranking cards, detail pages, and reproducibility evidence.
Check whether a paper's abstract covers all major sections. Use when finalizing a paper for submission, reviewing abstract completeness, or checking abstract-body alignment in a LaTeX manuscript.
Read and summarize arXiv papers from title. Use when the user asks to read/understand an arXiv paper, provides a paper title, or mentions downloading arXiv TeX source (arxiv.org/src). Fetch paper metadata, download and extract source, locate main .tex, read the full paper, and write structured Chinese notes to arxiv_paper_notes using {paper_id}_{method}.md.
