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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 2257 | 2257.Hypogenic Automated LLM-driven hypothesis generation and testing for tabular datasets; use when you need systematic exploration of empirical patterns (e.g., fraud detection, content analysis) and want to… | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 23 days ago |
| 2258 | Run immune pathway GSVA or ssGSEA analysis from a bulk expression matrix, a sample group file, and a local immune Reactome gene-set table, then export differential pathway results and a heatmap for… | aipoch/ | 1.9k | — | ~3k | Automated safety check: Pass | MIT | 23 days ago |
| 2259 | 2259.Lipinski Rule Filter Filter compound libraries based on Lipinski's Rule of Five for drug-likeness. | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 23 days ago |
| 2260 | Analyze data with metagenomic-krona-chart using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.5k | Automated safety check: Pass | MIT | 23 days ago |
| 2261 | Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 23 days ago |
| 2262 | 2262.Neoantigen Predictor Predict neoantigens that may be recognized by the immune system based. | aipoch/ | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | 23 days ago |
| 2263 | 2263.Neurokit Comprehensive biosignal processing for ECG/PPG/EEG/EDA/RSP/EMG/EOG; use when you need to clean, segment, and extract physiological features for HRV, event-related responses, complexity metrics, or… | aipoch/ | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | 23 days ago |
| 2264 | Analyze data with phylogenetic-tree-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.5k | Automated safety check: Pass | MIT | 23 days ago |
| 2265 | 2265.Plotly Interactive visualization library for Python. An agent skill from aipoch/medical-research-skills. | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 23 days ago |
| 2266 | Classify clinical trial protocol deviations as major or minor based on ICH E6/GCP guidelines. | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 23 days ago |
| 2267 | Analyze data with pseudotime-trajectory-viz using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | 23 days ago |
| 2268 | Automated bias assessment for diagnostic accuracy studies using QUADAS-C criteria. | aipoch/ | 1.9k | — | ~1.1k | Automated safety check: Pass | MIT | 23 days ago |
| 2269 | Automates publication-quality scientific diagrams (e.g., flowcharts, architectures, pathways) when you need journal/poster-ready visuals from a natural-language description. | aipoch/ | 1.9k | — | ~987 | Automated safety check: Pass | MIT | 23 days ago |
| 2270 | 2270.Scikit Bio A Python bioinformatics toolkit for sequence, phylogeny, and microbiome/community-ecology analysis; use it when you need to compute diversity/ordination/statistics from biological data and standard… | aipoch/ | 1.9k | — | ~1.4k | Automated safety check: Pass | MIT | 23 days ago |
| 2271 | 2271.Scikit Survival A comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival; use it when you need to model censored time-to-event outcomes, fit Cox/RSF/GB models or… | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 23 days ago |
| 2272 | 2272.Seaborn Statistical visualization library integrated with pandas; use it when you need fast EDA of distributions, relationships, and categorical comparisons (e.g., box/violin/pair plots and heatmaps) with… | aipoch/ | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT | 23 days ago |
| 2273 | 2273.Sequence Alignment A skill for performing sequence alignment using NCBI BLAST API. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 23 days ago |
| 2274 | 2274.Smiles De Salter Analyze data with smiles-de-salter using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 23 days ago |
| 2275 | Recommends appropriate statistical methods (T-test vs ANOVA, etc.) based. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 23 days ago |
| 2276 | Analyze data with survival-curve-risk-table using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~4.2k | Automated safety check: Pass | MIT | 23 days ago |
| 2277 | Analyze data with toxicity-structure-alert using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 23 days ago |
| 2278 | Generates complete two-sample Mendelian randomization (MR) research designs from a user-provided research direction. | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 23 days ago |
| 2279 | 2279.Volcano Plot Labeler Analyze data with volcano-plot-labeler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.8k | Automated safety check: Pass | MIT | 23 days ago |
| 2280 | 2280.Omnifocus 2 Manage OmniFocus tasks via JavaScript for Automation (JXA) scripts. | sundial-org/ | 663 | — | ~1.5k | Automated safety check: Pass | No licence | 7 mo ago |
| 2281 | 2281.Oura Analytics Oura Ring data integration and analytics. An agent skill from sundial-org/awesome-openclaw-skills. | sundial-org/ | 663 | — | ~1.1k | Automated safety check: Pass | No licence | 7 mo ago |
| 2282 | 2282.Reddit 2 Read and search Reddit posts via web scraping of old.reddit.com. | sundial-org/ | 663 | — | ~734 | Automated safety check: Pass | No licence | 7 mo ago |
| 2283 | 2283.Twitter Search Advanced Twitter search and social media data analysis. An agent skill from sundial-org/awesome-openclaw-skills. | sundial-org/ | 663 | — | ~2.3k | Automated safety check: Pass | No licence | 7 mo ago |
| 2284 | Use shell Python heredoc as fallback when code sandbox fails | HKUDS/ | 7.8k | — | ~873 | Automated safety check: Pass | MIT | 1 mo ago |
| 2285 | 2285.File Operations Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. | mhattingpete/ | 680 | — | ~635 | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 2286 | A skill your agent uses when automating ZBrush 2026: batch processing a folder of OBJ or ZTL files, a ZBrush Python script or ZScript, recording a macro to learn a palette path, the ZBrush -script… | scenario-labs/ | 946 | — | ~4.7k | Automated safety check: Pass | MIT | today |
| 2287 | 2287.Account Executive Expert sales execution covering pipeline management, discovery, demos, negotiation, and deal closing. | aAAaqwq/ | 105 | 1 repo | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 2288 | Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. | aAAaqwq/ | 105 | 3 repos | ~1.3k | Automated safety check: Notes | MIT | yesterday |
| 2289 | 2289.Anti SEO Researcher Anti-SEO deep consumer research tool. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~5.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 2290 | 2290.Browserbase Sessions Create and manage persistent Browserbase cloud browser sessions with authentication persistence. | LeoYeAI/ | 2.2k | — | ~6k | Automated safety check: Pass | MIT | 2 mo ago |
| 2291 | 2291.Dataset Finder A skill your agent uses when users need to search for datasets, download data files, or explore data repositories. | LeoYeAI/ | 2.2k | — | ~5.4k | Automated safety check: Pass | Proprietary | 2 mo ago |
| 2292 | 2292.Unipile Linkedin SDK LinkedIn integration via Unipile's official Node.js SDK. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Notes | MIT | 2 mo ago |
| 2293 | 根据数据量自动选择读取策略（大文件转Parquet），提取关键指标进行单位一致性验证与排序分析，并输出可下载的结果表格。 | MichaelYang-lyx/ | 111 | 1 repo | ~502 | Automated safety check: Pass | No licence | 12 days ago |
| 2294 | 提取结构化数据并进行特征清洗与聚类分析，生成包含趋势对比、分布特征与参数敏感性的多维度综合可视化图表，适用于各类趋势预测与多维对比场景。 | MichaelYang-lyx/ | 111 | 1 repo | ~1.5k | Automated safety check: Pass | No licence | 12 days ago |
| 2295 | 对 Excel 数据进行数值格式标准化与清洗，支持大规模数据的 Parquet 转换流程，并完成关键指标的合计核对与结果文件导出。 | MichaelYang-lyx/ | 111 | 1 repo | ~505 | Automated safety check: Pass | No licence | 12 days ago |
| 2296 | 对多Sheet Excel或CSV数据进行分类汇总统计，自动识别关键字段并生成包含占比、数值及美化饼图的可下载分析报告。 | MichaelYang-lyx/ | 111 | 1 repo | ~964 | Automated safety check: Pass | No licence | 12 days ago |
| 2297 | 处理包含百分比字符串的分类占比数据，通过补全缺失维度并生成堆叠柱状图，直观展示多维度构成随时间或分类的变化趋势. An agent skill from MichaelYang-lyx/AIDABench. | MichaelYang-lyx/ | 111 | 1 repo | ~650 | Automated safety check: Pass | No licence | 12 days ago |
| 2298 | 执行数值型数据的分布分析与异常值检测，支持通过正则表达式从文本中提取误差项并生成高分辨率的箱线图与直方图报告. An agent skill from MichaelYang-lyx/AIDABench. | MichaelYang-lyx/ | 111 | 1 repo | ~1.1k | Automated safety check: Pass | No licence | 12 days ago |
| 2299 | 对时间序列或分类数据进行多维度趋势分析、百分比清洗、绩效分级建模与预测，并生成高分辨率的可视化综合报告，适用于业务指标监控与预测场景。 | MichaelYang-lyx/ | 111 | 1 repo | ~1.1k | Automated safety check: Pass | No licence | 12 days ago |
| 2300 | 2300.Trend Analysis 基于多维度数据进行分级评估与趋势预测，通过设定差异化增长率计算预测值，并生成对比可视化图表，适用于绩效评估、目标设定等场景。 | MichaelYang-lyx/ | 111 | 1 repo | ~818 | Automated safety check: Pass | No licence | 12 days ago |
| 2301 | Builds publication-ready tables - descriptive Table 1, regression and differential-expression result tables, and supplementary tables - with gtsummary, gt, flextable, and kableExtra (R) or… | GPTomics/ | 1.2k | 1 repo | ~2.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 2302 | Authors and deploys MWAA workflow artifacts: Python Airflow DAGs for provisioned environments or YAML workflow files for Serverless. | aws/ | 2.8k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 2303 | Reference data, not a reviewer. An agent skill from Community-Access/accessibility-agents. | Community-Access/ | 423 | — | ~1.8k | Automated safety check: Pass | MIT | 16 days ago |
| 2304 | 2304.Anomaly Detection Detect cluster abnormalities by comparing recent activity (last 1h) to a baseline (preceding 24h) using the raw query tool. | chmonitor/ | 300 | — | ~2.3k | Automated safety check: Pass | GPL-3.0 | 4 days ago |
