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.
19.158 de skill-uri din 690 de depozite · actualizat acum 28 de minute
3.653 de skill-uri
- data-docbrycewang-stanford/Auto-Empirical-Research-SkillsDocument datasets, variables, sources, and merge keys for replicationAlteleFără avertismente★ 4,7 K↓ —
- stata-helpbrycewang-stanford/Auto-Empirical-Research-SkillsLook up Stata command documentation and display formatted help text.AlteleFără avertismente★ 4,7 K↓ —
- stata-lintbrycewang-stanford/Auto-Empirical-Research-SkillsRun static analysis on a Stata .do or .ado file and report style and best-practice issues.AlteleFără avertismente★ 4,7 K↓ —
- ml-causalbrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects", "CATE", "conditional average treatment effect", "BLP analysis", "CLAN analysis", "causal tree", "honest estimation", "因果森林", "双重机器学习", "异质性处理效应", "条件平均处理效应", "LASSO变量选择", "机器学习因果推断", "去偏机器学习"AlteleFără avertismente★ 4,7 K↓ —
- web-accessbrycewang-stanford/Auto-Empirical-Research-Skills所有联网操作必须通过此 skill 处理，包括：搜索、网页抓取、登录后操作、网络交互等。触发场景：用户要求搜索信息、查看网页内容、访问需要登录的网站、操作网页界面、抓取社交媒体内容（小红书、微博、推特等）、读取动态渲染页面、以及任何需要真实浏览器环境的网络任务。AlteleFără avertismente★ 4,7 K↓ —
- feishu-notifybrycewang-stanford/Auto-Empirical-Research-SkillsSend notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says "发飞书", "notify feishu", or other skills need to send status updates.AlteleFără avertismente★ 4,7 K↓ —
- CTF•杂项asdfgh1445/ctf-super-hub用于编码题、pyjail、bash jail、RF/SDR、DNS 异常、Unicode、奇特语言、QR、音频、约束求解、博弈论与沙箱逃逸等跨类或边缘 CTF 题;触发名:ctf-miscAlteleFără avertismente★ 837↓ —
- stata-resultsbrycewang-stanford/Auto-Empirical-Research-SkillsFetch and display stored r(), e(), and s() results from the last Stata command.AlteleFără avertismente★ 4,7 K↓ —
- training-checkbrycewang-stanford/Auto-Empirical-Research-SkillsPeriodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.AlteleFără avertismente★ 4,7 K↓ —
- did-analysisbrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for Difference-in-Differences (DID) analysis. Activates when the user asks about: "difference in differences", "DID", "DiD", "diff-in-diff", "parallel trends", "treatment group", "control group", "pre-treatment", "post-treatment", "policy evaluation", "natural experiment", "staggered DID", "event study regression", "two-way fixed effects DID", "callaway santanna", "sun and abraham", "双重差分", "倍差法", "平行趋势", "处理组", "对照组", "政策评估", "事件研究", "交错DID", "渐进处理"AlteleFără avertismente★ 4,7 K↓ —
- analyze-resultsbrycewang-stanford/Auto-Empirical-Research-SkillsAnalyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.AlteleFără avertismente★ 4,7 K↓ —
- r-oopbrycewang-stanford/Auto-Empirical-Research-SkillsR object-oriented programming guide for S7, S3, S4, and vctrs. Use when designing R classes or choosing an OOP system.AlteleFără avertismente★ 4,7 K↓ —
- ols-regressionbrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for OLS regression and linear models. Activates when the user asks about: "run OLS", "linear regression", "ordinary least squares", "interpret regression results", "heteroskedasticity", "multicollinearity", "regression assumptions", "robust standard errors", "GLS", "WLS", "fit a regression model", "check regression diagnostics", "OLS假设", "最小二乘法", "线性回归", "回归系数", "残差检验", "异方差", "多重共线性", "普通最小二乘", "稳健标准误", "回归诊断"AlteleFără avertismente★ 4,7 K↓ —
- referee-responsebrycewang-stanford/Auto-Empirical-Research-SkillsStructure responses to referee reports for R&R submissionsAlteleFără avertismente★ 4,7 K↓ —
- fletcherbrycewang-stanford/Auto-Empirical-Research-SkillsDefamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.AlteleFără avertismente★ 4,7 K↓ —
- monitor-experimentbrycewang-stanford/Auto-Empirical-Research-SkillsMonitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.AlteleFără avertismente★ 4,7 K↓ —
- r-bayesbrycewang-stanford/Auto-Empirical-Research-SkillsPatterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when performing Bayesian analysis.AlteleFără avertismente★ 4,7 K↓ —
- aer-literaturebrycewang-stanford/Auto-Empirical-Research-SkillsUse when positioning a manuscript against the existing economics literature, building the antecedents map for the introduction, deciding what to cite, or verifying that every reference in the bibliography is real, correctly attributed, and cited to the published version. Apply at topic selection for the novelty scan and again before drafting the introduction.AlteleFără avertismente★ 4,7 K↓ —
- xinzhiyuan-skillmomozi1996/awesome-ai-persona-skills新智元（AI_era，国内AI领域权威媒体）的AI科技自媒体创作思维——中文叙事+惊叹号密集+记者视角+深度长文+快速快讯。 触发词：「新智元视角」「像新智元那样写」「AI行业深度报道」「AI人物榜」「AIGCRank」「超智能时代」。 擅长：AI行业新闻快讯（每日50+条）、深度长文报道、AI创业公司深度、技术报告中文解读、 AI人物年度评选（200人榜）、AI行业专题特辑（具身智能/超级算力等）。AlteleFără avertismente★ 1 K↓ —
- aer-submissionbrycewang-stanford/Auto-Empirical-Research-SkillsUse when running the final pre-submission audit for an AER, AER:Insights, or AEJ manuscript — length, format, cover letter, per-author disclosure statements, file packaging, and routing among the AEA journal family. Apply immediately before clicking submit.AlteleFără avertismente★ 4,7 K↓ —
- stata-data-provenancebrycewang-stanford/Auto-Empirical-Research-SkillsTrack dataset lineage, transformation steps, merge logic, and reproducibility risks in Stata workflows. Use when the user needs to explain where data came from, how it changed, or why a pipeline can be trusted.AlteleFără avertismente★ 4,7 K↓ —
- Significance-Searchbrycewang-stanford/Auto-Empirical-Research-SkillsParallel control variable combination search via Stata. Exhaustively searches all subsets of optional controls to find the combination that maximises |t| of the independent variable. Activates when user says: "控制变量搜索", "搜控制变量", "control variable search", "跑控制变量组合", "暴力搜索", "调控制变量".AlteleFără avertismente★ 4,7 K↓ —
- talkbrycewang-stanford/Auto-Empirical-Research-SkillsCreate and audit presentations (Beamer or Quarto RevealJS). Combines talk creation, visual audit, and compilation. Replaces /create-talk, /visual-audit, /compile-latex (for talks).AlteleFără avertismente★ 4,7 K↓ —
- stata-referee-responsebrycewang-stanford/Auto-Empirical-Research-SkillsOrganize and execute Stata workflows for referee responses, robustness requests, and coauthor follow-ups. Use when the user needs to answer a critique with targeted reruns, tables, figures, and a defensible audit trail.AlteleFără avertismente★ 4,7 K↓ —
r-bayes
brycewang-stanford/Auto-Empirical-Research-Skills
AlteleActualizat acum 4 zile
De la autor
Patterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when performing Bayesian analysis.
Instalare
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill r-bayes -a claude-code
Se instalează în .claude/skills/r-bayes/ · 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
Doar instrucțiuniNu am văzut acces la rețeaLicență: Personalizată sau neclară
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