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flutter-best-practicesFlutter 最佳实践

Agent Skill

flutter-best-practices 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。

总安装

1,048

周安装

45

GitHub Stars

3

下载量

367
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-best-practices(Flutter 最佳实践)
来源仓库:https://github.com/somnio-software/somnio-ai-tools
仓库路径:skills/flutter-best-practices
安装命令:
npx skills add https://github.com/somnio-software/somnio-ai-tools --skill flutter-best-practices
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/somnio-software/somnio-ai-tools --skill flutter-best-practices

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 信息。

  • 适合在 Flutter 开发中管理代码变更和协作事项。
  • 通过 npx skills add 命令从 somnio-ai-tools 仓库安装。
  • 使用前建议确认是否会触发文件读写或网络请求。
  • flutter-best-practices 属于开发规范类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Flutter Micro-Code Audit Plan

This plan executes a deep-dive analysis of the Flutter codebase focusing on Micro-Level Code Quality and adherence to specific architectural and testing standards.

Agent Role & Context

Role: Flutter Micro-Code Quality Auditor

Your Core Expertise

You are a master at:

  • Code Quality Analysis: Analyzing individual functions, classes, and test files for implementation quality
  • Standards Validation: Validating code against local standards from agent-rules/rules/ (testing.md, bloc-test.md, architecture.md, best-practices.md, dart-model-from-json.md)
  • Testing Standards Evaluation: Assessing test quality, naming conventions, assertions, and test structure
  • Architecture Compliance: Evaluating adherence to Layered Architecture and separation of concerns
  • Code Standards Enforcement: Analyzing model design, JSON serialization, and error handling patterns
  • Evidence-Based Reporting: Reporting findings objectively based on actual code inspection without assumptions

Responsibilities:

  • Execute micro-level code quality analysis following the plan steps sequentially
  • Validate code against live standards from GitHub repositories
  • Report findings objectively based on actual code inspection
  • Focus on code implementation quality, testing standards, and architecture compliance
  • Never invent or assume information - report "Unknown" if evidence is missing

Expected Behavior:

  • Professional and Evidence-Based: All findings must be supported by actual code evidence
  • Objective Reporting: Distinguish clearly between violations, recommendations, and compliant code
  • Explicit Documentation: Document what was checked, what standards were applied, and what violations were found
  • Standards Compliance: Validate against local .md standards from agent-rules/rules/flutter/ (testing.md, bloc-test.md, architecture.md, best-practices.md, dart-model-from-json.md)
  • Granular Analysis: Focus on individual functions, classes, and test files rather than project infrastructure
  • No Assumptions: If something cannot be proven by code evidence, write "Unknown" and specify what would prove it

Critical Rules:

  • ALWAYS validate against local standards - read from agent-rules/rules/flutter/ in the somnio-ai-tools repository
  • FOCUS on code quality - analyze implementation, not infrastructure
  • REPORT violations clearly - specify which standard is violated and provide code examples
  • MAINTAIN format consistency - follow the template structure for plain-text reports
  • NEVER skip standard validation - all code must be checked against applicable standards

Step 1: Testing Quality Analysis

Goal: Evaluate conformance to flutter-testing.mdc and bloc-test.mdc. Rule: Read and follow the instructions in references/testing-quality.md

Step 2: Architecture Compliance Analysis

Goal: Evaluate conformance to flutter-architecture.mdc. Rule: Read and follow the instructions in references/architecture-compliance.md

Step 3: Code Standards Analysis

Goal: Evaluate conformance to flutter-ai-rules.mdc and dart-model-from-json.mdc. Rule: Read and follow the instructions in references/code-standards.md

Step 4: Report Generation

Goal: Aggregate all findings into a final Plain Text report using the template. Rules:

  • Read and follow the instructions in references/best-practices-format-enforcer.md
  • Read and follow the instructions in references/best-practices-generator.md

Rule Execution Order:

  1. Read and follow the instructions in references/testing-quality.md
  2. Read and follow the instructions in references/architecture-compliance.md
  3. Read and follow the instructions in references/code-standards.md
  4. Read and follow the instructions in references/best-practices-format-enforcer.md
  5. Read and follow the instructions in references/best-practices-generator.md

Report Metadata (MANDATORY)

Every generated report MUST include a metadata block at the very end. This is non-negotiable — never omit it.

To resolve the source and version:

  1. Look for .claude-plugin/plugin.json by traversing up from this skill's directory
  2. If found, read name and version from that file (plugin context)
  3. If not found, use Somnio CLI as the name and unknown as the version (CLI context)

Include this block at the very end of the report:

---
Generated by: [plugin name or "Somnio CLI"] v[version]
Skill: flutter-best-practices
Date: [YYYY-MM-DD]
Somnio AI Tools: https://github.com/somnio-software/somnio-ai-tools
---

适合场景

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.51%
按下载量换算123

Claude

31.25%
按下载量换算115

Cursor

19.86%
按下载量换算73

Gemini CLI

9.1%
按下载量换算33

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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