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Agent Skill · 运维和基础设施

platform-engineer(平台工程师)

platform-engineer 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。

platform-engineer 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 570。

总安装 2,594周安装 107GitHub Stars 76下载 847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
MIT

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:platform-engineer(平台工程师)
来源仓库:https://github.com/404kidwiz/claude-supercode-skills
仓库路径:skills/platform-engineer
安装命令:
npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill platform-engineer
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill platform-engineer

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理和分析。通过 npx skills add 命令从 GitHub 仓库安装,需结合原始 README 核验用法。安装前建议确认权限范围、维护状态及是否会触发联网或文件读写。

可配合来源仓库进一步了解技能的具体实现和功能边界。

来源仓库内路径:skills/platform-engineer

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/404kidwiz/claude-supercode-skills --skill plat…;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

    它需要需要联网,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

platform-engineer 怎么安装?

在终端执行 npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill platform-engin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

platform-engineer 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。

platform-engineer 需要什么权限?

权限级别是需要联网。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。

platform-engineer 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

platform-engineer 用的人多吗?

公开数据是累计安装 2,594 次,近一周安装 107 次,下载 847 次,GitHub 76 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。

platform-engineer 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
platform-engineer

平台工程师 · 本页

2,59476需要联网MIT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

Platform Engineer

Purpose

Provides Internal Developer Platform (IDP) expertise specializing in developer experience optimization, self-service infrastructure, and Golden Path templates. Builds platforms that reduce cognitive load for developers using Backstage, Crossplane, and GitOps.

When to Use

  • Building an Internal Developer Platform (IDP) from scratch
  • Implementing a Service Catalog or Developer Portal (Backstage)
  • Creating "Golden Path" templates for microservices (Spring Boot, Node.js, Go)
  • Abstracting cloud resources (RDS, S3) into custom platform APIs (Crossplane)
  • Designing self-service ephemeral environments
  • Measuring DORA metrics and Developer Experience (DevEx) KPIs

Examples

Example 1: Building a Developer Portal with Backstage

Scenario: A mid-sized tech company wants to reduce developer onboarding time from 2 weeks to 2 days.

Implementation:

  1. Deployed Backstage with standard integrations
  2. Created software templates for common service types (Go, Node.js, Python)
  3. Integrated with CI/CD (GitHub Actions) for automated provisioning
  4. Built service catalog with ownership and documentation
  5. Implemented TechDocs for centralized documentation

Results:

  • New service creation reduced from 2 weeks to 4 hours
  • Developer satisfaction increased 45%
  • Documentation coverage improved from 60% to 95%
  • Deployment frequency increased 3x

Example 2: Golden Path Templates for Microservices

Scenario: A microservices platform needs to reduce time-to-production for new services.

Implementation:

  1. Created standardized service templates with best practices embedded
  2. Implemented automated security scanning in templates
  3. Added observability (metrics, logging, tracing) by default
  4. Configured CI/CD pipelines with security gates
  5. Provided clear documentation and examples

Results:

  • 80% of new services use Golden Paths
  • Time to first production deployment reduced from 2 weeks to 2 days
  • Security compliance automated (zero manual review needed)
  • Developer productivity score improved 35%

Example 3: Crossplane Platform API

Scenario: Need to enable developers to provision cloud resources without direct access.

Implementation:

  1. Defined Crossplane XRDs for common infrastructure patterns
  2. Created composite resources for databases, queues, buckets
  3. Implemented RBAC with quotas and approvals
  4. Built self-service portal using Backstage plugin
  5. Integrated with existing workflows and tools

Results:

  • Developers can provision resources in minutes, not days
  • Cloud spend visibility improved (developers see cost impact)
  • Security posture improved (no direct cloud console access)
  • 60% reduction in infrastructure tickets

Best Practices

Platform Design

  • Aggregator, Not Replacement: Link to native tools, don't rebuild them
  • Golden Path, Not Golden Cage: Offer value, don't mandate usage
  • Developer Experience First: Treat developers as customers
  • Iterative Improvement: Start small, iterate based on feedback

Self-Service

  • Fast Provisioning: Complete resource provisioning in minutes
  • Clear Documentation: Self-documenting templates and workflows
  • Escape Hatches: Allow manual overrides when needed
  • Feedback Loops: Collect and act on developer feedback

Governance

  • Security by Default: Embed security in templates, not as add-ons
  • Compliance Automation: Automate compliance checks
  • Cost Visibility: Show cost impact to developers
  • Audit Trails: Log all actions for accountability

Operations

  • High Availability: Platform must be as reliable as production
  • Monitoring: Monitor platform health and adoption metrics
  • Incident Response: Have runbooks for platform issues
  • Continuous Improvement: Regular platform health reviews


Core Capabilities

Internal Developer Platform

  • Building self-service infrastructure platforms
  • Implementing service catalogs with Backstage
  • Creating developer portals and documentation hubs
  • Managing platform governance and policies

Golden Path Templates

  • Developing standardized application templates
  • Creating infrastructure-as-code modules
  • Implementing security and compliance controls
  • Automating service onboarding

GitOps and Infrastructure

  • Implementing GitOps workflows with ArgoCD/Flux
  • Managing Kubernetes clusters and operators
  • Configuring Crossplane for cloud resource abstraction
  • Setting up ephemeral environments

Developer Experience

  • Measuring DORA metrics and DevEx KPIs
  • Reducing developer cognitive load
  • Implementing internal tooling and automation
  • Managing developer onboarding and training


Workflow 2: Infrastructure Composition (Crossplane)

Goal: Allow developers to request a PostgreSQL DB via Kubernetes Manifest (YAML) without knowing AWS details.

Steps:

  1. Define Composite Resource Definition (XRD) # postgres-xrd.yaml apiVersion: apiextensions.crossplane.io/v1 kind: CompositeResourceDefinition metadata: name: xpostgresqlinstances.database.example.org spec: group: database.example.org names: kind: XPostgreSQLInstance plural: xpostgresqlinstances claimNames: kind: PostgreSQLInstance plural: postgresqlinstances versions: - name: v1alpha1 served: true referenceable: true schema: openAPIV3Schema: type: object properties: spec: properties: storageGB: type: integer
  2. Define Composition (AWS Implementation) # aws-composition.yaml apiVersion: apiextensions.crossplane.io/v1 kind: Composition metadata: name: xpostgresqlinstances.aws.database.example.org spec: compositeTypeRef: apiVersion: database.example.org/v1alpha1 kind: XPostgreSQLInstance resources: - base: apiVersion: rds.aws.crossplane.io/v1alpha1 kind: DBInstance spec: forProvider: region: us-east-1 dbInstanceClass: db.t3.micro masterUsername: masteruser allocatedStorage: 20 patches: - fromFieldPath: "spec.storageGB" toFieldPath: "spec.forProvider.allocatedStorage"
  3. Developer Experience

- Developer applies: apiVersion: database.example.org/v1alpha1 kind: PostgreSQLInstance metadata: name: my-db namespace: my-app spec: storageGB: 50 - Crossplane provisions RDS instance automatically.



4. Patterns & Templates

Pattern 1: The "Golden Path" Repository

Use case: Centralized template management.

/templates
  /spring-boot-microservice
    /src
    /Dockerfile
    /chart
    /catalog-info.yaml
    /mkdocs.yml
  /react-frontend
    /src
    /Dockerfile
    /nginx.conf
  /python-data-worker
    /src
    /requirements.txt

Pattern 2: Scorecards (Gamification)

Use case: Encouraging best practices via Backstage.

  • Bronze Level:

- Has catalog-info.yaml - Has README.md - CI builds passing

  • Silver Level:

- Code coverage > 80% - Alerts defined in Prometheus - Runbook link exists

  • Gold Level:

- DORA Metrics tracked - Security scan passing (0 High/Critical) - SLOs defined

Pattern 3: TechDocs (Docs-as-Code)

Use case: Keeping documentation close to code.

# mkdocs.yml
site_name: My Service Docs
nav:
  - Home: index.md
  - API: api.md
  - Architecture: architecture.md
  - Runbook: runbook.md
plugins:
  - techdocs-core


6. Integration Patterns

kubernetes-specialist:

  • Handoff: Platform Engineer defines abstract PostgreSQL claim → Kubernetes Specialist implements the operator/driver logic.
  • Collaboration: Designing the underlying cluster topology for the IDP.
  • Tools: Crossplane, ArgoCD.

security-engineer:

  • Handoff: Platform Engineer builds the template → Security Engineer adds SAST/SCA steps to the CI skeleton.
  • Collaboration: "Secure by Default" configurations in Golden Paths.
  • Tools: OPA Gatekeeper, Snyk.

sre-engineer:

  • Handoff: Platform Engineer exposes "Create Alert" capability → SRE defines the default alert rules.
  • Collaboration: Defining SLI/SLO templates for services.
  • Tools: Prometheus, PagerDuty.

backend-developer:

  • Handoff: Platform Engineer provides the "Create Service" button → Backend Developer uses it to ship code.
  • Collaboration: Gathering feedback on the template ("Is it too bloated?").
  • Tools: Backstage.

平台分布

Claude Code

31.75%
按下载量换算269

OpenCode

23.97%
按下载量换算203

Codex

18.57%
按下载量换算157

Gemini CLI

12.26%
按下载量换算104

Cursor

8.63%
按下载量换算73

windsurf

3.32%
按下载量换算28

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。

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