#312

Global Rank · of 600 Skills

flutter-handling-http-and-json AI Agent Skill

View Source: flutter/skills

Medium

Installation

npx skills add flutter/skills --skill flutter-handling-http-and-json

6.3K

Installs

Handling HTTP and JSON

Contents

Core Guidelines

  • Enforce HTTPS: iOS and Android disable cleartext (HTTP) connections by default. Always use HTTPS endpoints. If HTTP is strictly required for debugging, configure network_security_config.xml (Android) and NSAppTransportSecurity (iOS).
  • Construct URIs Safely: Always use Uri.https(authority, unencodedPath, [queryParameters]) to safely build URLs. This handles encoding and formatting reliably, preventing string concatenation errors.
  • Handle Status Codes: Always validate the http.Response.statusCode. Treat 200 (OK) and 201 (Created) as success. Throw explicit exceptions for other codes (do not return null).
  • Prevent UI Jank: Move expensive JSON parsing operations (taking >16ms) to a background isolate using the compute() function.
  • Structured AI Output: When integrating LLMs, enforce reliable JSON output by specifying a strict JSON schema in the system prompt and setting the response MIME type to application/json.

Workflow: Executing HTTP Operations

Use this workflow to implement network requests using the http package.

Task Progress:

  • Add the http package to pubspec.yaml.
  • Configure platform permissions (Internet permission in AndroidManifest.xml and macOS .entitlements).
  • Construct the target Uri.
  • Execute the HTTP method.
  • Validate the response and parse the JSON payload.

Conditional Implementation:

  • If fetching data (GET): Use http.get(uri).
  • If sending new data (POST): Use http.post(uri, headers: {...}, body: jsonEncode(data)). Ensure Content-Type is application/json; charset=UTF-8.
  • If updating data (PUT): Use http.put(uri, headers: {...}, body: jsonEncode(data)).
  • If deleting data (DELETE): Use http.delete(uri, headers: {...}).

Feedback Loop: Validation & Error Handling

  1. Run the HTTP request.
  2. Check response.statusCode.
  3. If 200 or 201, call jsonDecode(response.body) and map to a Dart object.
  4. If any other code, throw an Exception('Failed to load/update/delete resource').
  5. Review errors -> fix endpoint, headers, or payload structure.

Workflow: Implementing JSON Serialization

Choose the serialization strategy based on project complexity.

Conditional Implementation:

  • If building a small prototype or simple models: Use manual serialization with dart:convert.
  • If building a production app with complex/nested models: Use code generation with json_serializable.

Manual Serialization Setup

Task Progress:

  • Import dart:convert.
  • Define the Model class with final properties.
  • Implement a factory Model.fromJson(Map<String, dynamic> json) constructor.
  • Implement a Map<String, dynamic> toJson() method.

Code Generation Setup (json_serializable)

Task Progress:

  • Add dependencies: flutter pub add json_annotation and flutter pub add -d build_runner json_serializable.
  • Import json_annotation.dart in the model file.
  • Add the part 'model_name.g.dart'; directive.
  • Annotate the class with @JsonSerializable(). Use explicitToJson: true if the class contains nested models.
  • Define the fromJson factory and toJson method delegating to the generated functions.
  • Run the generator: dart run build_runner build --delete-conflicting-outputs.

Workflow: Parsing Large JSON in the Background

Use this workflow to prevent frame drops when parsing large JSON payloads (e.g., lists of 1000+ items).

Task Progress:

  • Create a top-level or static function that takes a String (the response body) and returns the parsed Dart object (e.g., List<Model>).
  • Inside the function, call jsonDecode and map the results to the Model class.
  • In the HTTP fetch method, pass the top-level parsing function and the response.body to Flutter's compute() function.

Examples

Example 1: HTTP GET with Manual Serialization

import 'dart:convert';
import 'package:http/http.dart' as http;

class Album {
  final int id;
  final String title;

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

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

Future<Album> fetchAlbum() async {
  final uri = Uri.https('jsonplaceholder.typicode.com', '/albums/1');
  final response = await http.get(uri);

  if (response.statusCode == 200) {
    return Album.fromJson(jsonDecode(response.body) as Map<String, dynamic>);
  } else {
    throw Exception('Failed to load album');
  }
}

Example 2: HTTP POST Request

Future<Album> createAlbum(String title) async {
  final uri = Uri.https('jsonplaceholder.typicode.com', '/albums');
  final response = await http.post(
    uri,
    headers: <String, String>{
      'Content-Type': 'application/json; charset=UTF-8',
    },
    body: jsonEncode(<String, String>{'title': title}),
  );

  if (response.statusCode == 201) {
    return Album.fromJson(jsonDecode(response.body) as Map<String, dynamic>);
  } else {
    throw Exception('Failed to create album.');
  }
}

Example 3: Background Parsing with compute

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

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

// 2. Fetch function using compute
Future<List<Photo>> fetchPhotos(http.Client client) async {
  final uri = Uri.https('jsonplaceholder.typicode.com', '/photos');
  final response = await client.get(uri);

  if (response.statusCode == 200) {
    // Run parsePhotos in a separate isolate
    return compute(parsePhotos, response.body);
  } else {
    throw Exception('Failed to load photos');
  }
}

Example 4: Code Generation (json_serializable)

import 'package:json_annotation/json_annotation.dart';

part 'user.g.dart';

@JsonSerializable(explicitToJson: true)
class User {
  final String name;
  
  @JsonKey(name: 'registration_date_millis')
  final int registrationDateMillis;

  User(this.name, this.registrationDateMillis);

  factory User.fromJson(Map<String, dynamic> json) => _$UserFromJson(json);
  Map<String, dynamic> toJson() => _$UserToJson(this);
}

Installs

Installs 6.3K
Global Rank #312 of 600

Security Audit

ath Safe
socket Safe
Alerts: 0 Score: 90
snyk Medium
zeroleaks Safe
Score: 93
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How to use this skill

1

Install flutter-handling-http-and-json by running npx skills add flutter/skills --skill flutter-handling-http-and-json in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of flutter-handling-http-and-json, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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