Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
9.461 de skill-uri din 277 de depozite · actualizat acum 28 de minute
636 de skill-uri
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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）。DesignFără avertismente★ 4,1 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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 sizeDesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —
- 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.DesignFără avertismente★ 4,7 K↓ —