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dlskilltagview

The DLSkillTagView project provides a customizable and straightforward way for individuals to display and interact with skill tags, enriching user interfaces especially in personal profiling and skill listing scenarios.

The DLSkillTagView, crafted by Didin Leo, is an open-source project designed for displaying skill tags. It is built upon the Flutter framework, offering a rich set of customization options for styling and animations. The features of DLSkillTagView are inclusive but not limited to:

  1. Customizable tag styles encompassing color, size, and font.
  2. An array of animations for tags like fade-in, fade-out, and scaling.
  3. Arranging tags in a particular order.
  4. Clickable tags triggering events.

Utilizing DLSkillTagView is a straightforward process. Below is a snippet of Dart code demonstrating its implementation:


import 'package:dlskilltagview/dlskilltagview.dart';

void main() {
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
        body: DLSkillTagView(
          tags: [
            'Flutter',
            'Dart',
            'Github',
            'Coding',
            'Learning',
          ],
          tagStyle: const DLTagStyle(
            color: Colors.blue,
            fontSize: 16,
          ),
          tagAnimation: const DLTagAnimation(
            animationType: DLTagAnimationType.fadeIn,
          ),
        ),
      ),
    );
  }
}

Exercise caution while using the code. For an in-depth understanding, you can refer to the README file in the project repository.

The output will display the following tags:

  • Flutter
  • Dart
  • Github
  • Coding
  • Learning

The DLSkillTagView stands out due to its robust functionality, ease of use with just a few lines of code, and its open-source nature making it accessible to everyone. It finds its utility in scenarios where there's a need to showcase skill tags, like in personal profiles or skill listings.

About the author
Robert Harris

Robert Harris

I am a zealous AI info-collector and reporter, shining light on the latest AI advancements. Through various channels, I encapsulate and share innovation with a broader audience.

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