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.
9.951 de skill-uri din 299 de depozite · actualizat acum 13 minute
737 de skill-uri
- paper-posterbrycewang-stanford/Auto-Empirical-Research-SkillsGenerate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper. Use when user says "做海报", "制作海报", "conference poster", "make poster", "生成poster", "poster session", or wants to create a poster for a conference presentation.ȘtiințăFără avertismente★ 4,7 K↓ —
- phylogeneticsK-Dense-AI/scientific-agent-skillsBuilds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein families, and cautiously interpreted dated phylogenies.ȘtiințăFără avertismente★ 53,4 K↓ —
- StatsPAI_skillbrycewang-stanford/Auto-Empirical-Research-SkillsUse when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRIPOD reporting) — OR in ML causal inference style (DML, S/T/X/R/DR meta-learners, causal forest, Dragonnet/TARNet/CEVAE, BCF, CATE distribution, policy learning, conformal causal, fairness audit, causal discovery) — OR in distributional / gap-decomposition style (Oaxaca–Blinder `sp.oaxaca`, Kitagawa `sp.kitagawa_decompose`, DiNardo–Fortin–Lemieux `sp.dfl_decompose`, Gelbach `sp.gelbach`, Fairlie `sp.fairlie`, RIF / FFL `sp.rif_decomposition`, all reachable through the `sp.decompose` dispatcher). Also covers exporting muȘtiințăFără avertismente★ 4,7 K↓ —
- orchestraterohitg00/pro-workflowWire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.ȘtiințăFără avertismente★ 2,9 K↓ —
- perplexitysoftaworks/agent-toolkitWeb search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.ȘtiințăFără avertismente★ 2,6 K↓ —
- gbro-collage-brollpyang5166/gbro-collage-broll将约 5 秒口播文稿、观点句或抽象概念做成高级 editorial halftone paper-collage / 半调纸拼贴 B-roll。用户说“collage b-roll”“纸拼贴 b-roll”“半调拼贴”“拼贴风格配画面”“用这段文稿做拼贴动画”“gbro-collage-broll”，或希望把一句文稿转成拼贴视觉隐喻时，必须使用此 skill。强制采用三阶段审批：先只提视觉隐喻，用户确认后才生成彩色拼贴静帧，静帧再次确认后才默认调用 Gemini Omni Flash 生成首尾帧组装动画。默认视频模型固定为 gemini-omni-flash-preview，不再默认使用 Veo；只有用户明确指定其他模型时才切换。ȘtiințăFără avertismente★ 1,5 K↓ —
- gepettosoftaworks/agent-toolkitCreates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.ȘtiințăFără avertismente★ 2,6 K↓ —
- researchWeizhena/Deep-Research-skillsConduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.ȘtiințăFără avertismente★ 2,4 K↓ —Apare și în 1 alt depozit
- researchWeizhena/Deep-Research-skills对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景。ȘtiințăFără avertismente★ 2,4 K↓ —
- researchWeizhena/Deep-Research-skillsConduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.ȘtiințăFără avertismente★ 2,4 K↓ —
- kaggle-researchbrycewang-stanford/Auto-Empirical-Research-SkillsUse 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.ȘtiințăFără avertismente★ 4,7 K↓ —
- paper-writerbrycewang-stanford/Auto-Empirical-Research-SkillsAutomatically write empirical sections of academic papers in LaTeX by reading tables/figures from a PDF. Trigger when user wants to write a paper from empirical results, has tables/figures in PDF, or says "write paper" / "paper-writer" / "写论文".ȘtiințăFără avertismente★ 4,7 K↓ —
- fred-economic-dataforyourhealth111-pixel/Vibe-SkillsQuery FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring U.S. and international economic indicators.ȘtiințăFără avertismente★ 3,7 K↓ —
- paper-submissionbrycewang-stanford/Auto-Empirical-Research-SkillsEvaluate a paper's contribution novelty, identify best-fit SSCI journal fields and ABS star rating, and recommend 20 target journals. Trigger when user says "paper submission" / "paper-submission" / "投稿评估" / "期刊推荐" / "target journal" / "选刊".ȘtiințăFără avertismente★ 4,7 K↓ —
- 48-de-AIGC-skillsbrycewang-stanford/Auto-Empirical-Research-Skills🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.ȘtiințăFără avertismente★ 4,7 K↓ —
- journal-digestbrycewang-stanford/Auto-Empirical-Research-Skills经济金融顶刊文献速递与选题建议生成器。通过RSS和网页抓取获取经济学、金融学、会计学顶级期刊的最新论文， 筛选公司金融相关文献，生成中文综述摘要和研究选题建议。 当用户提到"期刊速递"、"文献周报"、"论文速递"、"最新文献"、"journal digest"、"paper digest"、 "选题建议"、"研究选题"、"顶刊追踪"、"文献追踪"、"周报"时触发此技能。 即使用户只是说"帮我看看最近有什么新论文"或"最近顶刊发了什么"，也应该触发。ȘtiințăFără avertismente★ 4,7 K↓ —
- stata-table-builderbrycewang-stanford/Auto-Empirical-Research-SkillsBuild and review paper-ready regression, balance, and summary tables from Stata outputs. Use when the user needs a clean table for a draft, appendix, or coauthor share-out.ȘtiințăFără avertismente★ 4,7 K↓ —
- medchemforyourhealth111-pixel/Vibe-SkillsMedicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.ȘtiințăFără avertismente★ 3,7 K↓ —
- assimilate-popular-workflowsa5c-ai/babysitterThis skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.ȘtiințăVerifică întâi★ 1,9 K↓ —
- paper-analysis-assistantanbeime/skill其他高等院校教师与数据科学家在追踪前沿学术时，当需要深度解析arXiv论文，用此技能可一键下载PDF并自动生成词频分析、双人播客、交互式网页、PPT演示与总结图，将数小时的文献阅读转化为多媒体内容，效率提升十倍！ȘtiințăFără avertismente★ 8,5 K↓ —
- Getting Started with Research Superpowersbrycewang-stanford/Auto-Empirical-Research-SkillsIntroduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversalȘtiințăVerifică întâi★ 4,7 K↓ —
- market-researchbrycewang-stanford/Auto-Empirical-Research-SkillsIndustry and market research. Market sizing, structure, competition, regulation, supply chains, pricing, M&A. Produces a single compact, source-cited research report with Porter's Five Forces, HHI / CR4, PESTLE, and trade flows. Supports UK, US, EU, Australia, and global scope, with multi-geography comparison.ȘtiințăVerifică întâi★ 4,7 K↓ —
- notion-research-documentationPrat011/awesome-llm-skillsSearches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.ȘtiințăFără avertismente★ 1,8 K↓ —
- medical-imaging-reviewbrycewang-stanford/Auto-Empirical-Research-SkillsWrite comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.ȘtiințăVerifică întâi★ 4,7 K↓ —
kaggle-research
brycewang-stanford/Auto-Empirical-Research-Skills
ȘtiințăActualizat alaltăieri
De la autor
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.
Instalare
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a claude-code
Se instalează în .claude/skills/kaggle-research/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
La ce are acces
Rulează scripturile incluseNu am văzut acces la rețeaLicență: Personalizată sau neclară
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 79
Securitate85
Proveniență84
Întreținere100
Licență45
Adopție58
Fișiere (25)
- SKILL.md
- references/authentication.md
- references/competitions.md
- references/datasets.md
- references/kernels.md
- references/models.md
- references/testing-and-safety.md
- scripts/kaggle_research.py
- scripts/kaggle_runtime/__init__.py
- scripts/kaggle_runtime/artifacts.py
- scripts/kaggle_runtime/commands.py
- scripts/kaggle_runtime/result.py
- încă 13