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Found 257 Skills
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
Implement Syncfusion Angular Chart component for professional data visualization. Use this when creating or customizing charts such as line, bar, column, area, pie, financial (candlestick, OHLC), scatter, bubble, or stock charts. Supports axes configuration, series binding, legends, tooltips, zooming, real-time updates, technical indicators, themes, export, and accessibility features.
Implement Syncfusion Windows Forms Pivot Chart control for visualizing multidimensional data with interactive drill-down capabilities. Use this when working with pivot charts, pivot data visualization, drill-down charts, hierarchical chart data, or business intelligence visualizations. Supports 11+ chart types (Line, Spline, Column, Area, Stacking), data binding with IEnumerable/DataTable, drill up/down operations, pivot table field list, grouping bar, legend customization, Excel export, zooming, scrolling, and touch support.
Explore, interpret, and draw conclusions from football data. Use when the user wants to analyse match events, compare teams or players, understand tactical patterns, build visualisations, or needs guidance on what questions to ask of their data. Adapts to the user's experience level.
Design effective data dashboards with proper KPI hierarchy, chart type selection, and interactive features. Use this skill when the user needs to create a dashboard, choose the right visualizations, organize metrics for different audiences, or evaluate dashboard tools — even if they say 'build a dashboard', 'our reports are confusing', 'which chart should I use', or 'executives can't find the metrics they need'.
Microsoft Power BI integration. Manage Reports, Workspaces, Apps, Users. Use when the user wants to interact with Microsoft Power BI data.
Use Dune MCP through UXC for blockchain table discovery, SQL query creation/execution, execution result retrieval, and visualization with help-first schema inspection, explicit auth binding, and guarded credit-consuming operations.
Build Grafana plugin pages using the @grafana/scenes framework. Use this skill when creating new scene pages, adding panels/visualizations, setting up drilldown navigation, defining variables, configuring query runners, building table/timeseries/stat panels, or extending SceneObjectBase for custom scene objects. Triggers on any work involving SceneApp, SceneAppPage, EmbeddedScene, SceneQueryRunner, SceneDataTransformer, PanelBuilders, SceneFlexLayout, QueryVariable, or drilldown/tab configuration in Grafana plugins.
Generate professional infographics using each::sense AI. Create statistical, process, comparison, timeline, list, geographic, hierarchical, resume, report, and social media infographics optimized for visual communication.
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
Integrate the reusable CDF graph viewer (useGraphViewer) into a Dune app by copying the local code bundle. Use when embedding a graph visualization, adding a knowledge graph, or showing CDF data model relationships and instances.
TOC router for PyGraphistry tasks. Use when a request involves PyGraphistry and you need to choose the right workflow: loading/ETL shaping, visualization/layout/sharing, GFQL queries (Cypher, chain-lists, Let/DAG, GRAPH constructors), AI/UMAP/embed/semantic-search workflows, or connector-specific ingestion.