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.
45.604 skill-uri din 2.205 depozite · actualizat acum 8 ore
9.754 de skill-uri
- small-guide-route-destination-echoT8mars/minimax-h3-prompt-skill-T8Create original short videos using the 微型引路｜重复现身到终点材质回声 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and surfaces.AlteleFără avertismente★ 307↓ —
- 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★ 4,8 K↓ —
- amazon-buy-boxnexscope-ai/Amazon-SkillsAmazon Buy Box strategy and optimization framework. Eligibility factor analysis, competitive pricing strategies, FBA vs FBM impact assessment, seller performance optimization, and Buy Box winning tactics. Use when the user asks about Amazon Buy Box, winning Buy Box, Buy Box eligibility, or Buy Box optimization.AlteleFără avertismente★ 802↓ —
- 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★ 4,8 K↓ —
- sealeap-apollo-sellersprite-asin-detailxjli360/sealeap-amazon-skills使用卖家精灵数据查看单个 ASIN 的标题、评分、价格、品牌和商品基础字段。用于ASIN 商品详情相关的 Amazon 数据查询、核验和分析。AlteleFără avertismente★ 323↓ —
- data-flowathola/claude-night-marketGenerates a Mermaid sequence diagram showing how data moves between components. Use when tracing request flows or documenting data transformation pipelines.AlteleFără avertismente★ 343↓ —
- 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★ 4,8 K↓ —
- palace-diagramathola/claude-night-marketGenerates Mermaid and ASCII diagrams of palace structure, knowledge topology, and synapse connectivity. Use when inspecting or presenting a palace visually.AlteleFără avertismente★ 343↓ —
- stata-resultsbrycewang-stanford/Auto-Empirical-Research-SkillsFetch and display stored r(), e(), and s() results from the last Stata command.AlteleFără avertismente★ 4,8 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★ 4,8 K↓ —
- datacommons-clientforyourhealth111-pixel/Vibe-SkillsWork with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.AlteleFără avertismente★ 3,8 K↓ —
- optim-agentOptim-Agent/optim-agentUse when optimizing configurable system parameters against a measurable scalar objective.AlteleFără avertismente★ 797↓ —
- material-value-ladder-human-payoffT8mars/minimax-h3-prompt-skill-T8Create original short videos using the 价值阶梯｜原料—转化—装配—使用回报 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and surfaces.AlteleFără avertismente★ 307↓ —
- monument-scale-near-contact-returnT8mars/minimax-h3-prompt-skill-T8Create original short videos using the 巨构近触｜尺度远景与微动作回望 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and surfaces.AlteleFără avertismente★ 307↓ —
- stack-modeathola/claude-night-marketDetects shared stack membership and iterates a command across all PRs in base-to-tip order. Use when a command supports --stack flag for multi-PR iteration.AlteleFără avertismente★ 343↓ —
- 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★ 4,8 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★ 4,8 K↓ —
- vow-enforcementathola/claude-night-marketClassifies and enforces constraints via soft vows, hard vows, and Nen Court layers. Use when designing or auditing enforcement mechanisms for project rules.AlteleFără avertismente★ 343↓ —
- update-readmeathola/claude-night-marketRefreshes README structure favoring concision (an index, not a manual). Use when the README needs a structural update after significant project changes.AlteleFără avertismente★ 343↓ —
- 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★ 4,8 K↓ —
- stata-helpbrycewang-stanford/Auto-Empirical-Research-SkillsLook up Stata command documentation and display formatted help text.AlteleFără avertismente★ 4,8 K↓ —
- data-docbrycewang-stanford/Auto-Empirical-Research-SkillsDocument datasets, variables, sources, and merge keys for replicationAlteleFără avertismente★ 4,8 K↓ —
- figurebrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for generating publication-quality figures for top economics journals. Activates when the user asks about: "econometric figure", "publication figure", "journal figure", "AER figure", "QJE figure", "event study plot", "coefficient plot", "coefplot", "binned scatter", "binscatter", "RDD plot", "parallel trends plot", "kernel density", "distribution plot", "time series plot", "map", "figure formatting", "academic plot", "论文图表", "学术图", "系数图", "事件研究图", "散点图", "分布图", "趋势图", "回归可视化"AlteleFără avertismente★ 4,8 K↓ —
- doctorbrycewang-stanford/Auto-Empirical-Research-SkillsSystem diagnostics and health checks for Diverga plugin. OpenClaw-style Check-Report-Fix pattern with 5-layer diagnostics. Triggers: /diverga:doctor, diverga doctor, system check, diagnose, 진단AlteleFără avertismente★ 4,8 K↓ —