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Syncfusion Maui Smart Datagrid

Organization
syncfusion
syncfusion-maui-smart-datagrid

Implements Syncfusion .NET MAUI Smart DataGrid (SfSmartDataGrid) with AI-powered features. Use when working with SfSmartDataGrid, AI-powered grid operations, natural language data commands, AI sorting, AI filtering, or conversational grid interaction. Covers Azure OpenAI grid integration and natural language commands for grids.

Overview

Publishersyncfusion
Repositorymaui-ui-components-skills
Skill namesyncfusion-maui-smart-datagrid
Stars
61
Forks
1
Bundled files
11
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by syncfusion on GitHub. Read the source before you install it.

Installation

Install the Syncfusion Maui Smart Datagrid AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/syncfusion/maui-ui-components-skills/tree/master/skills/syncfusion-maui-smart-datagrid
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/syncfusion/maui-ui-components-skills.git /tmp/maui-ui-components-skills
mkdir -p .claude/skills
cp -r /tmp/maui-ui-components-skills/skills/syncfusion-maui-smart-datagrid .claude/skills/syncfusion-maui-smart-datagrid
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Syncfusion Maui Smart Datagrid in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Syncfusion Maui Smart Datagrid on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Syncfusion Maui Smart Datagrid is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Implementing Syncfusion MAUI Smart DataGrid

A comprehensive skill for implementing and customizing the Syncfusion .NET MAUI Smart DataGrid (SfSmartDataGrid) control. The Smart DataGrid combines traditional tabular data display with AI-powered natural language capabilities, enabling users to perform complex operations like sorting, filtering, grouping, and highlighting using simple text commands. It displays and manipulates data in a tabular format with advanced support for intelligent data operations, AI-assisted features, customizable assistant views, and event-driven architecture.

When to Use This Skill

Use this skill when you need to:

  • Add a Smart DataGrid to .NET MAUI applications that requires AI-assisted data operations
  • Enable natural language commands for users to sort, filter, group, and highlight data without coding
  • Configure Azure OpenAI or other AI providers to power intelligent grid operations
  • Customize the AssistView UI with templates and styling for appearance customization
  • Implement AI-powered features like intelligent sorting with multi-column support and advanced filtering
  • Manage grid operations programmatically using methods like GetResponseAsync() and events
  • Style toolbar, buttons, and assistant views to match application design requirements

Component Overview

The SfSmartDataGrid (Syncfusion .NET MAUI Smart DataGrid) is an advanced data grid control that combines traditional grid functionality with AI-powered natural language processing. Users can interact with data using simple text commands instead of manual UI navigation.

Key Capabilities:

  • AI-Assisted Operations: Sort, filter, group, and highlight data using natural language prompts
  • Multi-Column Operations: Apply complex operations in a single command (e.g., sort by multiple columns)
  • Customizable AssistView: Configure suggestions, prompts, and initial commands
  • Flexible Styling: Customize toolbar, buttons, and assistant view appearance with templates
  • Event-Driven Architecture: Handle requests, opening, and closing events for AI operations
  • AI Service Integration: Configure Azure OpenAI, Gemini, DeepSeek, or Groq services

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • Install Syncfusion.Maui.SmartDataGrid NuGet package
  • Register handlers in MauiProgram.cs
  • Configure Azure AI service with credentials
  • Create basic Smart DataGrid with data binding
  • Add OrderInfo data model and repository
  • Enable AI-assisted operations
  • Running and testing the application

AI-Powered Features

📄 Read: references/ai-powered-features.md

  • Natural language sorting (single and multi-column)
  • Intelligent grouping with hierarchical support
  • Advanced filtering with conditions (AND/OR logic)
  • Highlighting rows and cells with custom colors
  • Clearing operations (sort, filter, group, highlight)
  • Example prompts and practical use cases

Customization and Configuration

📄 Read: references/customization.md

  • Set SuggestedPrompts for predefined suggestions
  • Configure Prompt for auto-execution on startup
  • Enable/disable smart actions with EnableSmartActions
  • Show AssistView programmatically with ShowAssistView()
  • Apply AI operations dynamically using GetResponseAsync()
  • Handle AssistViewRequest events
  • Manage AssistViewOpening and AssistViewClosing events

Appearance and Styling

📄 Read: references/appearance-styling.md

  • Style toolbar with background, stroke, and thickness
  • Create custom toolbar layout with ToolbarTemplate
  • Configure AssistButton appearance and icon color
  • Define custom AssistButton and icon templates
  • Customize AssistView popup, header, and colors
  • Create AssistView header, banner, and editor templates
  • Styling SmartAssistStyle properties

AI Service Configuration

📄 Read: references/ai-service-configuration.md

  • Configure Azure OpenAI service setup
  • Register ConfigureSyncfusionAIServices()
  • Set API key, endpoint, and deployment name
  • AI service requirements and prerequisites
  • Supporting alternative AI providers
  • Troubleshooting AI service connectivity

Configure Chat Client

📄 Read: references/configure-chat-client.md

  • Configure Microsoft.Extensions.AI-compatible chat clients
  • Azure OpenAI setup and configuration
  • OpenAI API integration with model selection
  • Self-hosted Ollama configuration and benefits
  • Environment-specific configuration with appsettings.json
  • Using environment variables for credentials
  • Troubleshooting authentication and connection errors

Custom AI Service Integration

📄 Read: references/custom-ai-service.md

  • Implement custom AI services using IChatInferenceService interface
  • Create AI service class and inference service wrapper
  • Register custom services in MauiProgram.cs
  • Complete custom implementation example
  • Testing custom integration
  • Best practices for error handling and logging
  • Troubleshooting response generation and performance

Claude AI Integration

📄 Read: references/claude-service.md

  • Create Anthropic Claude account and get API key
  • Implement ClaudeAIService and ClaudeInferenceService
  • Register Claude service in MauiProgram.cs
  • Available Claude models and capabilities

Google Gemini Integration

📄 Read: references/gemini-service.md

  • Get Google AI Studio API key for Gemini
  • Implement GeminiService and GeminiInferenceService
  • Configure Gemini models and generation settings
  • Register Gemini service in MauiProgram.cs

Groq AI Integration

📄 Read: references/groq-service.md

  • Set up Groq console and API key
  • Implement GroqService and GroqInferenceService
  • Configure Groq models with OpenAI-compatible endpoint
  • Register Groq service in MauiProgram.cs

DeepSeek AI Integration

📄 Read: references/deepseek-service.md

  • Set up DeepSeek platform and API key
  • Implement DeepSeekAIService and DeepSeekInferenceService
  • Configure DeepSeek models and temperature settings
  • Register DeepSeek service in MauiProgram.cs

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Syncfusion Maui Smart Datagrid AI skill do?

Implements Syncfusion .NET MAUI Smart DataGrid (SfSmartDataGrid) with AI-powered features. Use when working with SfSmartDataGrid, AI-powered grid operations, natural language data commands, AI sorting, AI filtering, or conversational grid interaction. Covers Azure OpenAI grid integration and natural language commands for grids.

Why use Syncfusion Maui Smart Datagrid on TypingMind?

Because you install it once and use it with any model. Syncfusion Maui Smart Datagrid is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Syncfusion Maui Smart Datagrid in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/syncfusion/maui-ui-components-skills/tree/master/skills/syncfusion-maui-smart-datagrid. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Syncfusion Maui Smart Datagrid?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Syncfusion Maui Smart Datagrid?

As many as you like. As long as a model supports skills, you can use Syncfusion Maui Smart Datagrid with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Syncfusion Maui Smart Datagrid AI skill free?

It is published on GitHub by syncfusion. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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