来源信息
- 仓库
- brycewang-stanford/Auto-Empirical-Research-Skills
- 最近来源活动
- 2026年4月3日 02:07
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 3,291
- 分支
- 432
安装方式
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
检查来源文件
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
菜单
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills --skill latex-templates-collection命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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.
中英双语学术降 AIGC / bilingual academic de-AIGC skill. Removes AI-generated writing signatures from empirical papers in economics, management, and the social sciences — in both English and Chinese. Covers Turnitin AI, GPTZero, Originality.ai on the English side and 知网 AMLC, 万方, 维普 on the Chinese side. Uses a six-step loop (intake → audit → claim-evidence check → differentiated rewrite → five-dimension self-score → cold-reader recheck) with two pattern libraries (22 English + 17 Chinese patterns), section-by-section strategies for empirical papers, and hard protections that keep every number, coefficient, and citation intact.
Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
基于 SOC 职业分类
正在显示 SKILL.md
| name | latex-templates-collection |
| description | Collection of LaTeX templates for papers, presentations, and CVs |
| version | 1.0.0 |
| author | wentor-community |
| source | https://github.com/deedydas/latex-templates |
| metadata | {"openclaw":{"category":"writing","subcategory":"latex","emoji":"📋","keywords":["latex-templates","paper-templates","presentation-templates","cv-templates","academic-formatting","beamer"]}} |
A skill providing a curated collection of LaTeX templates for academic papers, conference presentations, CVs, cover letters, and other documents commonly needed by researchers. Based on the latex-templates repository (655 stars), this skill helps researchers quickly start professionally formatted documents without spending hours on layout configuration.
Researchers spend significant time formatting documents to meet the requirements of different journals, conferences, and institutions. A well-organized template library eliminates this overhead by providing ready-to-use starting points that comply with common formatting standards. This skill catalogs templates by document type and provides guidance on selection, customization, and best practices for each category.
The templates cover the full range of academic document needs: research papers, technical reports, conference slides, academic CVs, cover letters, grant proposals, and poster presentations. Each template is designed for professional quality output with clean typography and proper academic formatting.
Journal Article Templates
Conference Paper Templates
Template Structure
Beamer Templates
Presentation Best Practices
Animation and Overlays
Academic CV Templates
Resume Templates
Cover Letter Templates
Thesis and Dissertation
Grant Proposals
Posters
Font Selection
mathptmx or newtxtext/newtxmathhelvet or sourcesanspro for modern appearanceinconsolata for code listingsColor Schemes
xcolor package with named colors for maintainabilityPage Layout
geometry package for margin and page size configurationsetspace package (single, 1.5, double)fancyhdr packageparskip or manual settingsThis skill supports the Research-Claw document preparation workflow: