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Flutter Use Http Package

OrganizationPopular
flutter
flutter-use-http-package

Use the `http` package to execute GET, POST, PUT, or DELETE requests. Use when you need to fetch from or send data to a REST API.

Overview

Publisherflutter
Repositoryagent-plugins
Skill nameflutter-use-http-package
Stars
3K
Forks
182
Bundled files
Instructions only
LicenseBSD-3-Clause
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Flutter Use Http Package 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/flutter/agent-plugins/tree/main/skills/flutter-use-http-package
  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/flutter/agent-plugins.git /tmp/agent-plugins
mkdir -p .claude/skills
cp -r /tmp/agent-plugins/skills/flutter-use-http-package .claude/skills/flutter-use-http-package
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flutter Use Http Package 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 Flutter Use Http Package 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 Flutter Use Http Package 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 Flutter Networking

Contents

Configuration & Permissions

Configure the environment and platform-specific permissions required for network access.

  1. Add the http package dependency via the terminal:
    bash
    flutter pub add http
  2. Import the package in your Dart files:
    dart
    import 'package:http/http.dart' as http;
  3. Configure Android permissions by adding the Internet permission to android/app/src/main/AndroidManifest.xml:
    xml
    <uses-permission android:name="android.permission.INTERNET" />
  4. Configure macOS entitlements by adding the network client key to both macos/Runner/DebugProfile.entitlements and macos/Runner/Release.entitlements:
    xml
    <key>com.apple.security.network.client</key>
    <true/>

Request Execution & Response Handling

Execute HTTP operations and map responses to strongly typed Dart objects.

  • URIs: Always parse URL strings using Uri.parse('your_url').
  • Headers: Inject authorization and content-type headers via the headers parameter map. Use HttpHeaders.authorizationHeader for auth tokens.
  • Payloads: For POST and PUT requests, encode the body using jsonEncode() from dart:convert.
  • Status Validation: Evaluate response.statusCode. Treat 200 OK (GET/PUT/DELETE) and 201 CREATED (POST) as success.
  • Error Handling: Throw explicit exceptions for non-success status codes. Never return null on failure, as this prevents FutureBuilder from triggering its error state and causes infinite loading indicators.
  • Deserialization: Parse the raw string using jsonDecode(response.body) and map it to a custom Dart object using a factory constructor (e.g., fromJson).

Background Parsing

Offload expensive JSON parsing to a separate Isolate to prevent UI jank (frame drops).

  • Import package:flutter/foundation.dart.
  • Use the compute() function to run the parsing logic in a background isolate.
  • Ensure the parsing function passed to compute() is a top-level function or a static method, as closures or instance methods cannot be passed across isolates.

Workflow: Executing Network Operations

Use the following checklist to implement and validate network operations.

Task Progress:

  • 1. Define the strongly typed Dart model with a fromJson factory constructor.
  • 2. Implement the network request method returning a Future<Model>.
  • 3. Apply conditional logic based on the operation type:
    • If fetching data (GET): Append query parameters to the URI.
    • If mutating data (POST/PUT): Set 'Content-Type': 'application/json; charset=UTF-8' and attach the jsonEncode body.
    • If deleting data (DELETE): Return an empty model instance on success (200 OK).
  • 4. Validate the statusCode and throw an Exception on failure.
  • 5. Integrate the Future into the UI using FutureBuilder.
  • 6. Handle snapshot.hasData, snapshot.hasError, and default to a CircularProgressIndicator.
  • 7. Feedback Loop: Run the app -> trigger the network request -> review console for unhandled exceptions -> fix parsing or permission errors.

Examples

High-Fidelity Implementation: Fetching and Parsing in the Background

dart
import 'dart:async';
import 'dart:convert';
import 'dart:io';
import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';
import 'package:http/http.dart' as http;

// 1. Top-level parsing function for Isolate
List<Photo> parsePhotos(String responseBody) {
  final parsed = (jsonDecode(responseBody) as List<Object?>)
      .cast<Map<String, Object?>>();
  return parsed.map<Photo>(Photo.fromJson).toList();
}

// 2. Network execution with background parsing
Future<List<Photo>> fetchPhotos() async {
  final response = await http.get(
    Uri.parse('https://jsonplaceholder.typicode.com/photos'),
    headers: {
      HttpHeaders.authorizationHeader: 'Bearer your_token_here',
      HttpHeaders.acceptHeader: 'application/json',
    },
  );

  if (response.statusCode == 200) {
    // Offload heavy parsing to a background isolate
    return compute(parsePhotos, response.body);
  } else {
    throw Exception('Failed to load photos. Status: ${response.statusCode}');
  }
}

// 3. Strongly typed model
class Photo {
  final int id;
  final String title;
  final String thumbnailUrl;

  const Photo({
    required this.id,
    required this.title,
    required this.thumbnailUrl,
  });

  factory Photo.fromJson(Map<String, dynamic> json) {
    return Photo(
      id: json['id'] as int,
      title: json['title'] as String,
      thumbnailUrl: json['thumbnailUrl'] as String,
    );
  }
}

// 4. UI Integration
class PhotoGallery extends StatefulWidget {
  const PhotoGallery({super.key});

  @override
  State<PhotoGallery> createState() => _PhotoGalleryState();
}

class _PhotoGalleryState extends State<PhotoGallery> {
  late Future<List<Photo>> _futurePhotos;

  @override
  void initState() {
    super.initState();
    // Initialize Future once to prevent re-fetching on rebuilds
    _futurePhotos = fetchPhotos();
  }

  @override
  Widget build(BuildContext context) {
    return FutureBuilder<List<Photo>>(
      future: _futurePhotos,
      builder: (context, snapshot) {
        if (snapshot.hasData) {
          final photos = snapshot.data!;
          return ListView.builder(
            itemCount: photos.length,
            itemBuilder: (context, index) => ListTile(
              leading: Image.network(photos[index].thumbnailUrl),
              title: Text(photos[index].title),
            ),
          );
        } else if (snapshot.hasError) {
          return Center(child: Text('Error: ${snapshot.error}'));
        }
        
        // Default loading state
        return const Center(child: CircularProgressIndicator());
      },
    );
  }
}

Frequently asked questions

What does the Flutter Use Http Package AI skill do?

Use the `http` package to execute GET, POST, PUT, or DELETE requests. Use when you need to fetch from or send data to a REST API.

Why use Flutter Use Http Package on TypingMind?

Because you install it once and use it with any model. Flutter Use Http Package 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 Flutter Use Http Package in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/flutter/agent-plugins/tree/main/skills/flutter-use-http-package. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Flutter Use Http Package?

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 Flutter Use Http Package?

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

Is the Flutter Use Http Package AI skill free?

Yes. It is published on GitHub by flutter under the BSD-3-Clause license. 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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