Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
9,461 skills from 277 repositories · updated 28 minutes ago
636 skills
- localization-toolkitzebbern/claude-code-guideThis skill should be used when setting up, auditing, or enforcing internationalization/localization in UI codebases (React/TS, i18next or similar, JSON locales), including installing/configuring the i18n framework, replacing hard-coded strings, ensuring en-US/zh-CN coverage, mapping error codes to localized messages, and validating key parity, pluralization, and formatting.DesignNo warnings★ 4.7K↓ —
- aer-preregistrationbrycewang-stanford/Auto-Empirical-Research-SkillsUse 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.DesignNo warnings★ 4.7K↓ —
- polish-skillsbrycewang-stanford/Auto-Empirical-Research-Skills9 editing & proofreading skills. Trigger: polishing drafts, academic tone, proofreading, translation. Design: style checkers and editing workflows for clear, concise academic English.DesignNo warnings★ 4.7K↓ —
- gzh-designisjiamu/gzh-design-skill微信公众号文章排版引擎，将 Markdown 转换为可直接粘贴到公众号编辑器的 HTML。主题风格从 references/theme-index.md 注册的自定义主题库中选取，自动章节编号、关键词下划线标记、引言卡片、目录导航、代码块、图片/GIF、作者签名。支持 Markdown / Word(.docx) / PDF / 纯文本输入（非 Markdown 先自动归一化），也支持"一键自动排版"（自动推断结构+选主题），还支持根据用户描述/参考图生成自定义主题组件库并保存本地复用。触发场景：(1) 用户提到"公众号排版""公众号文章""微信排版""gzh"，(2) 用户想把文章（md/docx/pdf/纯文本）转成公众号 HTML，(3) 用户说"自动排版""一键排版"公众号内容，(4) 用户想为公众号排版"生成新主题/自定义风格/按这张图做一套组件库"。不用于生成普通网页/落地页/PPT（用前端或 PPT 类 skill）。DesignNo warnings★ 4.1K↓ —
- document-skillsbrycewang-stanford/Auto-Empirical-Research-Skills10 document processing skills. Trigger: extracting text from PDFs, parsing references, document Q&A. Design: parsing pipelines (GROBID, marker) and structured extraction tools.DesignNo warnings★ 4.7K↓ —
- r-style-guidebrycewang-stanford/Auto-Empirical-Research-SkillsR style guide covering naming conventions, spacing, layout, and function design best practices. Use when writing R code.DesignNo warnings★ 4.7K↓ —
- pharma-skillsbrycewang-stanford/Auto-Empirical-Research-Skills6 pharmaceutical research skills. Trigger: drug discovery, pharmacology, clinical trial design, regulatory filing. Design: end-to-end pipeline from target identification to clinical trials.DesignNo warnings★ 4.7K↓ —
- latex-skillsbrycewang-stanford/Auto-Empirical-Research-Skills11 latex skills. Trigger: LaTeX typesetting, formatting papers, mathematical notation, Beamer. Design: template-based guides with package recommendations and compilation tips.DesignNo warnings★ 4.7K↓ —
- diagram-skillsbrycewang-stanford/Auto-Empirical-Research-Skills9 diagrams & visuals skills. Trigger: creating diagrams, flowcharts, architecture visuals, LaTeX drawings. Design: tool-specific guides (Mermaid, Excalidraw, TikZ) with academic conventions.DesignNo warnings★ 4.7K↓ —
- universal-ma-codebookbrycewang-stanford/Auto-Empirical-Research-SkillsUniversal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review pipeline. Triggers: meta-analysis, codebook, data extraction, Hedges g, effect sizeDesignNo warnings★ 4.7K↓ —
- ai-ml-skillsbrycewang-stanford/Auto-Empirical-Research-Skills27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.DesignNo warnings★ 4.7K↓ —
- stata-causal-inferencebrycewang-stanford/Auto-Empirical-Research-SkillsDesign, run, and critique causal inference workflows in Stata. Use when the user is working on identification, treatment effects, DiD, IV, event studies, RD, or assumption-sensitive empirical claims.DesignNo warnings★ 4.7K↓ —