Skills your agents can run

Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.

Community sentiment via Gate-News MCP, X/Twitter-first. Use for social discussion, KOL takes, or opinion on a coin or topic. Triggers: what does the community think about ETH, Twitter or X sentiment, what are people saying, KOL opinions. Reddit, Discord, Telegram when search_ugc is available; until then label output as X/Twitter-only. Tools: news_feed_search_x, news_feed_get_social_sentiment.

Predict small-molecule pKa values, supporting a custom heuristic backend and a Uni‑pKa single-file weights backend (Bohrium notebook workflow).

ADME property prediction tool. Predicts molecular absorption, distribution, metabolism, and excretion properties, including Caco-2 permeability, PAMPA, HIA, Pgp inhibition, bioavailability, lipophilicity, and more. Uses Morgan fingerprints + Random Forest/XGBoost. Triggered when a user mentions ADME prediction, drug properties, permeability, absorption, metabolism, etc.

XRD spectrum from a CIF structure file using pymatgen (Cu Kα).

Provides reference surface tension predictions for surfactant-related tasks based on SMILES, supporting a baseline heuristic backend and a public_joblib public-model backend.

Predict multiple physicochemical properties of small molecules (boiling point, refractive index, density, viscosity, surface tension, etc.). Currently integrated with the bamboo_mixer single-molecule property model backend.

Plausible Analytics is a lightweight, open-source, privacy-friendly alternative to Google Analytics. It requires no cookies, is fully GDPR/CCPA/PECR compliant, and provides a clean single-page dashboard with all essential website metrics and traffic insights.

Chart selection and data visualization guidance for effective data communication. Use when: creating visualizations, choosing chart types, designing dashboards, or when user mentions data visualization, charts, graphs, or needs help presenting data visually.

Comprehensive data visualization skill covering visual execution and technical implementation. Includes perceptual foundations, chart selection, layout algorithms, and library guidance. Triggers on: charts, graphs, dashboards, 'visualize', 'plot', data presentation, D3, Recharts, Victory.

Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.

Comprehensive data analysis skill for CSV files using Python and pandas

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

本技能应在用户要求"数学建模"、"建模比赛"、"数模论文"、"数学建模竞赛"、"建模分析"、"建模求解"或提及数学建模相关任务时使用。适用于全国大学生数学建模竞赛(CUMCM)、美国大学生数学建模竞赛(MCM/ICM)等各类数学建模比赛。

Data visualization, report generation, SQL queries, and spreadsheet automation. Transform your AI agent into a data-savvy analyst that turns raw data into actionable insights.

YouTube API access without the official API quota hassle — transcripts, search, channels, playlists, and metadata with no Google API key needed. Use when the user needs YouTube data programmatically, wants to avoid Google API quotas, or asks for "youtube api", "get video data", "youtube without api key", "no quota youtube".

This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks to predict future values of a time series, analyze trends in data over time, or requires insights into time-dependent data. Trigger terms include "forecast," "predict," "time series analysis," "future values," and requests involving temporal data.

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.

Excel 表格处理 | Excel Spreadsheet Processing. 创建、读取、编辑 Excel 文件 | Create, read, edit Excel files. 支持公式、图表、数据分析 | Supports formulas, charts, data analysis. 触发词：Excel、表格、xlsx.

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.