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Agent Skill · 前端设计

flutter-parallel-agents(Flutter parallel Agent 命令行)

flutter-parallel-agents 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

flutter-parallel-agents 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 7,570。

总安装 364周安装 15GitHub Stars 6下载 119核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:flutter-parallel-agents(Flutter parallel Agent 命令行)
来源仓库:https://github.com/vp-k/flutter-craft
仓库路径:skills/flutter-parallel-agents
安装命令:
npx skills add https://github.com/vp-k/flutter-craft --skill flutter-parallel-agents
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vp-k/flutter-craft --skill flutter-parallel-agents

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

flutter-parallel-agents 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定仓库安装并使用该技能。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/flutter-parallel-agents

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/vp-k/flutter-craft --skill flutter-parallel-ag…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

flutter-parallel-agents 怎么安装?

在终端执行 npx skills add https://github.com/vp-k/flutter-craft --skill flutter-parallel-agents。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

flutter-parallel-agents 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

flutter-parallel-agents 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

flutter-parallel-agents 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

flutter-parallel-agents 用的人多吗?

公开数据是累计安装 364 次,近一周安装 15 次,下载 119 次,GitHub 6 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

flutter-parallel-agents 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
flutter-parallel-agents

Flutter parallel Agent 命令行 · 本页

3646权限未标注未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Dispatching Parallel Flutter Agents

Overview

When you have multiple unrelated tasks (different features, different test files, different bugs), working on them sequentially wastes time. Each investigation is independent and can happen in parallel.

Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.

Announce at start: "I'm using the flutter-parallel-agents skill to handle these tasks."

When to Use

Multiple tasks/failures?
├─ NO  → Single agent handles it
└─ YES → Are they independent?
         ├─ NO (related) → Single agent investigates all
         └─ YES → Can they work in parallel?
                  ├─ NO (shared state/files) → Sequential agents
                  └─ YES → Parallel dispatch (this skill)

Use when:

  • Multiple test files failing with different root causes
  • Multiple features to implement in different areas
  • Each problem can be understood without context from others
  • No shared state between investigations
  • Different Clean Architecture layers to work on

Don't use when:

  • Failures are related (fix one might fix others)
  • Tasks modify same files
  • Tasks have dependencies on each other
  • Need to understand full system state first

Flutter-Specific Parallel Scenarios

Independent Layer Tasks

lib/features/auth/
├── domain/      ← Agent 1: Implement entities & interfaces
├── data/        ← Agent 2: Implement models & datasources
└── presentation/ ← Wait for Agents 1 & 2 (has dependencies)

Can parallelize: Domain + Data layers (different files) Cannot parallelize: Presentation depends on Domain

Independent Feature Tasks

lib/features/
├── auth/        ← Agent 1: Auth feature
├── profile/     ← Agent 2: Profile feature
└── settings/    ← Agent 3: Settings feature

Can parallelize: All three (different feature folders)

Independent Test Fixes

test/features/
├── auth/data/repositories/auth_repo_test.dart      ← Agent 1
├── profile/presentation/bloc/profile_bloc_test.dart ← Agent 2
└── settings/data/datasources/settings_ds_test.dart  ← Agent 3

Can parallelize: Different test files, different features

The Pattern

1. Identify Independent Domains

Group tasks by what's affected:

  • Feature A: User authentication
  • Feature B: Profile management
  • Feature C: Settings storage

Each domain is independent - fixing auth doesn't affect settings.

2. Create Focused Agent Tasks

Each agent gets:

  • Specific scope: One feature or test area
  • Clear goal: What to implement/fix
  • Constraints: Don't change other features
  • Expected output: Summary of what was done

3. Dispatch in Parallel

Task("Implement auth domain layer - entities and repository interface")
Task("Implement profile domain layer - entities and repository interface")
Task("Implement settings domain layer - entities and repository interface")
// All three run concurrently

4. Review and Integrate

When agents return:

  • Read each summary
  • Verify fixes don't conflict
  • Run flutter analyze
  • Run flutter test
  • Integrate all changes

Agent Prompt Structure

Implement the [Layer] layer for [Feature] feature.

## Scope
lib/features/[feature]/[layer]/

## Files to Create
- entities/[entity].dart
- repositories/[repository].dart (interface)

## Requirements
[Paste specific requirements from plan]

## Constraints
- ONLY modify files in lib/features/[feature]/[layer]/
- Do NOT touch other features
- Follow Clean Architecture principles
- Run flutter analyze before committing

## Expected Output
- Summary of what you created
- flutter analyze result
- Commit message used

Example: Parallel Feature Implementation

Scenario: Need to implement domain layers for 3 features

Decision: Each domain layer is independent

Dispatch:

Agent 1 → Implement auth/domain/ (User entity, AuthRepository interface)
Agent 2 → Implement profile/domain/ (Profile entity, ProfileRepository interface)
Agent 3 → Implement settings/domain/ (Settings entity, SettingsRepository interface)

Results:

  • Agent 1: Created User entity, AuthRepository ✅
  • Agent 2: Created Profile entity, ProfileRepository ✅
  • Agent 3: Created Settings entity, SettingsRepository ✅

Integration:

flutter analyze  # All clean
flutter test     # All pass
git log --oneline -3  # See all three commits

Common Mistakes

❌ Too broad: "Implement all features" - agent gets lost ✅ Specific: "Implement auth/domain layer" - focused scope

❌ Dependent tasks in parallel: Data layer before Domain ✅ Correct order: Domain first, then Data in parallel

❌ Same files: Two agents editing pubspec.yaml ✅ No conflicts: Each agent has isolated file scope

When NOT to Use

  • Sequential dependencies: Data layer needs Domain layer first
  • Shared files: Multiple agents need same file
  • Cross-feature dependencies: Feature B imports from Feature A
  • Need global context: Understanding requires seeing entire app

Verification

After agents return:

  1. Review each summary - Understand what changed
  2. Check for conflicts - Did agents edit same files?
  3. Run flutter analyze - Verify all code is clean
  4. Run flutter test - Verify tests pass
  5. Check imports - No circular dependencies
flutter analyze
flutter test
git diff --stat  # See all changes

Benefits

  1. Parallelization - Multiple implementations simultaneously
  2. Focus - Each agent has narrow scope
  3. Independence - Agents don't interfere
  4. Speed - N problems solved in time of 1

平台分布

Codex

33.74%
按下载量换算40

Claude

30.23%
按下载量换算36

Cursor

18.09%
按下载量换算22

Gemini CLI

9.55%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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