Token导航 LogoToken导航

Agent Skill · 研究检索

layered-rails(layered Rails 搜索)

layered-rails 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

layered-rails 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 48,626。

总安装 682周安装 29GitHub Stars 335下载 239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:layered-rails(layered Rails 搜索)
来源仓库:https://github.com/palkan/skills
仓库路径:skills/layered-rails
安装命令:
npx skills add https://github.com/palkan/skills --skill layered-rails
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/palkan/skills --skill layered-rails

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

layered-rails 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

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。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/layered-rails

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/palkan/skills --skill layered-rails;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

layered-rails 怎么安装?

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

layered-rails 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。

layered-rails 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

layered-rails 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。

layered-rails 用的人多吗?

公开数据是累计安装 682 次,近一周安装 29 次,下载 239 次,GitHub 335 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。

layered-rails 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
layered-rails

layered Rails 搜索 · 本页

682335调用外部服务未明确有提醒

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

Layered Rails

Design and review Rails applications using layered architecture principles.

Quick Start

Rails applications are organized into four architecture layers with unidirectional data flow:

┌─────────────────────────────────────────┐
│           PRESENTATION LAYER            │
│  Controllers, Views, Channels, Mailers  │
└─────────────────────────────────────────┘
                    ↓
┌─────────────────────────────────────────┐
│           APPLICATION LAYER             │
│   Service Objects, Form Objects, etc.   │
└─────────────────────────────────────────┘
                    ↓
┌─────────────────────────────────────────┐
│             DOMAIN LAYER                │
│  Models, Value Objects, Domain Events   │
└─────────────────────────────────────────┘
                    ↓
┌─────────────────────────────────────────┐
│          INFRASTRUCTURE LAYER           │
│  Active Record, APIs, File Storage      │
└─────────────────────────────────────────┘

Core Rule: Lower layers must never depend on higher layers.

What Would You Like To Do?

  1. Analyze codebase - Run /layers:analyze for full analysis or /layers:analyze:callbacks, /layers:analyze:gods for specific checks
  2. Review code changes - Run /layers:review for layered architecture review
  3. Run specification test - Run /layers:spec-test on specific files
  4. Plan gradual adoption - Run /layers:gradual [goal] to plan incremental layerification
  5. Plan feature implementation - I'll guide you using layered principles
  6. Implement specific pattern - I'll help with authorization, notifications, view components, AI integration, etc.

Core Principles

The Four Rules

  1. Unidirectional Data Flow - Data flows top-to-bottom only
  2. No Reverse Dependencies - Lower layers never depend on higher layers
  3. Abstraction Boundaries - Each abstraction belongs to exactly one layer
  4. Minimize Connections - Fewer inter-layer connections = looser coupling

Common Violations

ViolationExampleFix
Model uses CurrentCurrent.user in modelPass user as explicit parameter
Service accepts requestparam:request in serviceExtract value object from request
Controller has business logicPricing calculations in actionExtract to service or model
Anemic modelsAll logic in servicesKeep domain logic in models

See Anti-Patterns Reference for complete list.

The Specification Test

If the specification of an object describes features beyond the primary responsibility of its abstraction layer, such features should be extracted into lower layers.

How to apply:

  1. List responsibilities the code handles
  2. Evaluate each against the layer's primary concern
  3. Extract misplaced responsibilities to appropriate layers

See Specification Test Reference for detailed guide.

Pattern Catalog

PatternLayerUse WhenReference
Service ObjectApplicationOrchestrating domain operationsservice-objects.md
Query ObjectDomainComplex, reusable queriesquery-objects.md
Form ObjectPresentationMulti-model forms, complex validationform-objects.md
Filter ObjectPresentationRequest parameter transformationfilter-objects.md
PresenterPresentationView-specific logic, multiple modelspresenters.md
SerializerPresentationAPI response formattingserializers.md
Policy ObjectApplicationAuthorization decisionspolicy-objects.md
Value ObjectDomainImmutable, identity-less conceptsvalue-objects.md
State MachineDomainStates, events, transitionsstate-machines.md
ConcernDomainShared behavioral extractionconcerns.md

Pattern Selection Guide

"Where should this code go?"

If you have...Consider...
Complex multi-model formForm Object
Request parameter filtering/transformationFilter Object
View-specific formattingPresenter
Complex database query used in multiple placesQuery Object
Business operation spanning multiple modelsService Object (as waiting room)
Authorization rulesPolicy Object
Multi-channel notificationsDelivery Object (Active Delivery)

Remember: Services are a "waiting room" for code until proper abstractions emerge. Don't let app/services become a bag of random objects.

Commands Reference

CommandPurpose
/layers:reviewReview code changes from layered architecture perspective
/layers:spec-testRun specification test on specific files
/layers:analyzeFull codebase abstraction layer analysis
/layers:analyze:callbacksScore model callbacks, find extraction candidates
/layers:analyze:godsFind God objects via churn × complexity
/layers:gradual [goal]Plan gradual adoption of layered patterns

Topic References

For deep dives on specific topics:

TopicReference
Authorization (RBAC, ABAC, policies)authorization.md
Notifications (multi-channel delivery)notifications.md
View Componentsview-components.md
AI Integration (LLM, agents, RAG, MCP)ai-integration.md
Configurationconfiguration.md
Callbacks (scoring, extraction)callbacks.md
Current Attributescurrent-attributes.md
Instrumentation (logging, metrics)instrumentation.md

Gem References

For library-specific guidance:

GemPurposeReference
action_policyAuthorization frameworkaction-policy.md
view_componentComponent frameworkview-component.md
anyway_configTyped configurationanyway-config.md
active_deliveryMulti-channel notificationsactive-delivery.md
albaJSON serializationalba.md
workflowState machinesworkflow.md
rubanokFilter/transformation DSLrubanok.md
active_agentAI agent frameworkactive-agent.md
active_job-performsEliminate anemic jobsactive-job-performs.md

Extraction Signals

When to extract from models:

SignalMetricAction
God objectHigh churn × complexityDecompose into concerns, delegates, or separate models
Operation callbackScore 1-2/5Extract to service or event handler
Code-slicing concernGroups by artifact typeConvert to behavioral concern or extract
Current dependencyModel reads Current.*Pass as explicit parameter

Callback Scoring:

TypeScoreKeep?
Transformer (compute values)5/5Yes
Normalizer (sanitize input)4/5Yes
Utility (counter caches)4/5Yes
Observer (side effects)2/5Maybe
Operation (business steps)1/5Extract

See Extraction Signals Reference for detailed guide.

Model Organization

Recommended order within model files:

class User < ApplicationRecord
  # 1. Gems/DSL extensions
  has_secure_password

  # 2. Associations
  belongs_to :account
  has_many :posts

  # 3. Enums
  enum :status, { pending: 0, active: 1 }

  # 4. Normalization
  normalizes :email, with: -> { _1.strip.downcase }

  # 5. Validations
  validates :email, presence: true

  # 6. Scopes
  scope :active, -> { where(status: :active) }

  # 7. Callbacks (transformers only)
  before_validation :set_defaults

  # 8. Delegations
  delegate :name, to: :account, prefix: true

  # 9. Public methods
  def full_name = "#{first_name} #{last_name}"

  # 10. Private methods
  private

  def set_defaults
    self.locale ||= I18n.default_locale
  end
end

Success Checklist

Well-layered code:

  • No reverse dependencies (lower layers don't depend on higher)
  • Models don't access Current attributes
  • Services don't accept request objects
  • Controllers are thin (HTTP concerns only)
  • Domain logic lives in models, not services
  • Callbacks score 4+ or are extracted
  • Concerns are behavioral, not code-slicing
  • Abstractions don't span multiple layers
  • Tests verify appropriate layer responsibilities

Guidelines

  • Use domain language - Name models after business concepts (Participant, not User; Cloud, not GeneratedImage)
  • Patterns before abstractions - Let code age before extracting; premature abstraction is worse than duplication
  • Services as waiting room - Don't let app/services become permanent residence for code
  • Explicit over implicit - Prefer explicit parameters over Current attributes
  • Extraction thresholds - Consider extraction when methods exceed 15 lines or call external APIs

平台分布

Codex

33.56%
按下载量换算80

Claude

29.74%
按下载量换算71

Cursor

19.1%
按下载量换算46

Gemini CLI

8.73%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills