>- XAF Views, layout, and navigation. Covers ListView, DetailView, DashboardView class hierarchy, View creation (Application.CreateListView/CreateDetailView/CreateDashboardView), ShowViewParameters for displaying views in new windows/popups, View.CurrentObject, ListView.CollectionSource, ListView.Editor, CompositeView.FindItem, list view data access modes (Client, Server, DataView, InstantFeedback, Queryable), list view edit modes (inline, batch, split layout MasterDetailMode), Detail View layout customization via DetailViewLayoutAttribute, DefaultClassOptionsAttribute/NavigationItemAttribute for navigation, DashboardView with DashboardViewItem, accessing selected objects, accessing UI controls via OnViewControlsCreated and CustomizeViewItemControl, View.IsRoot, and non-persistent object views. Use when someone asks about views, layouts, navigation, showing views, popups, dashboard views, list view modes, or detail view customization in XAF.
npx skills add https://github.com/DevExpress/agent-skills --skill devexpress-xaf-views
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
Populates investment banking pitch deck templates with data from source files. Use when: user provides a PowerPoint template to fill in, user has source data (Excel/CSV) to populate into slides, user mentions populating or filling a pitch deck template, or user needs to transfer data into existing slide layouts. Not for creating presentations from scratch.
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
Transform text-heavy slides into visual storytelling. Suggest layout improvements, icon usage, and data visualization.
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts". Focuses specifically on the three Core Web Vitals metrics. Do NOT use for general web performance (use perf-web-optimization), Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).
Take devexpress/devexpress-xaf-views from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.