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Found 683 Skills
Build 3D scenes and visualizations using SceneKit. Use when creating 3D views with SCNView and SCNScene, building node hierarchies with SCNNode, applying materials and lighting, animating with SCNAction, simulating physics with SCNPhysicsBody, loading 3D models (.usdz, .scn), adding particle effects, or embedding SceneKit in SwiftUI with SceneView. Note: SceneKit was deprecated at WWDC 2025 and is in maintenance mode; RealityKit is recommended for new projects.
Create editorial-style information cards using HTML/CSS embedded directly in Markdown. Best for knowledge summaries, data highlights, topic overviews, event announcements, and content cards with magazine-quality typography and layout. NOT for architecture diagrams (use architecture), flowcharts (use mermaid), or data visualization (use vega).
Command-line interface for CloudAnalyzer — Agent-friendly harness for CloudAnalyzer, a QA platform for mapping, localization, and perception outputs. Supports 27 commands across 8 groups: point cloud evaluation, trajectory evaluation, ground segmentation QA, config-driven quality gates, baseline evolution, processing, visualization, and interactive REPL.
Command-line interface for Mermaid Live Editor - Create, edit, and render Mermaid diagrams via stateful project files and mermaid.ink renderer URLs. Designed for AI agents and power users who need to generate flowcharts, sequence diagrams, and other visualizations without a GUI.
Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1. User explicitly requests to build a data dashboard, data application, or visualization UI, and the UI pulls data from a GCP database (defaulting to BigQuery unless otherwise specified). 2. You need to generate a frontend web application to interact with, query, and visualize data from GCP data sources. 3. User wants to build a "chat with your data" experience or integrate the Gemini Data Analytics chat API into a web interface. Do NOT use when any of the following conditions are true: 1. The request is for building backend-only services. 2. The request is for simple CLI scripts or command-line applications. 3. The web application is not data-centric or does not involve visualizing/querying data from GCP sources.
Academic-first Draw.io figure skill for papers, theses, IEEE-style diagrams, architecture figures, workflows, roadmaps, formulas, and publication-ready visualizations. Use when users ask to draw, redraw, replicate, edit, or export diagrams for academic papers or technical documents. Creates offline .drawio + .spec.yaml + .arch.json bundles, exports SVG locally, uses draw.io Desktop CLI for embedded SVG/PNG/PDF/JPG, supports style presets, self-check review loops, and diagrams.net URL fallback without requiring MCP.
Implement Syncfusion React Progress Bar for visual feedback. Use this skill whenever users need to display progress indicators, loading states, file uploads, data processing, or task completion in React applications. Trigger when user mentions progress bars, loading spinners, progress indicators, determinate/indeterminate states, circular/linear progress, or any progress visualization scenario.
Implement Syncfusion React Timeline component for displaying chronological sequences of events with customizable layouts, styling, and interactivity. Use this skill when creating timelines, displaying event sequences, showing milestone progression, creating activity feeds, or building chronological data visualizations. This covers career histories, project roadmaps, process flows, shipping tracking, and time-based event displays.
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)
R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
Implement geofences, spatial queries, real-time tracking, and mapping features in laneweaverTMS using PostGIS and PGRouting. Use when building location-based features, distance calculations, ETA predictions, or fleet visualization.