发现 blockchain data analysis 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
FAST code generation via mcp__cerebras-mcp__write tool using Z.ai glm-4.6. Use for rapid test generation, boilerplate creation, and bulk code tasks in main chat. Prompt must be SHORTER than output. Ideal for te...
Calculate ROI for marketing campaigns, investments, and business decisions. Includes break-even analysis, payback period, and comparative ROI.
Use when asked to visualize sales territories, coverage areas, service regions, or geographic boundaries on interactive maps.
Find and visualize correlations between variables in datasets. Use for data exploration, feature selection, or identifying relationships between columns.
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
Generate organizational hierarchy charts from CSV, JSON, or nested data. Supports multiple layouts, department coloring, and PNG/SVG/PDF export.
Create interactive maps with markers, heatmaps, routes, and choropleth layers. Use when visualizing geographic data, plotting locations, or creating map-based reports.
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
Financial calculations: loans, investments, NPV/IRR, retirement planning, Monte Carlo simulations. Generates tables, charts, and exportable reports.
Generate pivot tables from CSV/Excel with aggregations, filters, and automatic chart creation.
Detect anomalies and outliers in datasets using statistical and ML methods. Use for data cleaning, fraud detection, or quality control analysis.
Analyze text sentiment (positive/negative/neutral) with confidence scores, emotion detection, and visualization. Supports single text, CSV batch, and trend analysis.
Create interactive Sankey diagrams for flow visualization from CSV, DataFrame, or dict data. Supports node/link styling and HTML/PNG/SVG export.
Transform CSV/Excel data into narrative reports with auto-generated insights, visualizations, and PDF export. Auto-detects patterns and creates plain-English summaries.
Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification, or tracking changes.
Generate professional PDF/HTML reports with charts, tables, and narrative from data. Supports templates, branding, and automated report generation.
Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.
Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.
Analyze survey responses with Likert scale analysis, cross-tabulations, sentiment scoring, and frequency distributions with visualizations.
Cluster data using K-Means, DBSCAN, hierarchical clustering. Use for customer segmentation, pattern discovery, or data grouping.
Use when asked to create publication-ready scientific figures, charts for research papers, or academic visualizations.
Generate formatted expense reports from receipt data or CSV. Create professional PDF reports with categorization, totals, and approval workflows.
Decompose time series into trend, seasonal, and residual components. Use for forecasting, pattern analysis, and seasonality detection.
Extract tables from PDFs and images to CSV or Excel. Support for scanned documents with OCR, multi-page PDFs, and complex table structures.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。