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faion-devops-engineerfaion 开发工程师

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

312

周安装

13

GitHub Stars

2

下载量

104
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

3

许可证

MIT

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:faion-devops-engineer(faion 开发工程师)
来源仓库:https://github.com/faionfaion/faion-network
仓库路径:skills/faion-devops-engineer
安装命令:
npx skills add https://github.com/faionfaion/faion-network --skill faion-devops-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/faionfaion/faion-network --skill faion-devops-engineer

简介

faion-devops-engineer 协调基础设施与 CI/CD 任务,整合云资源、容器化和运维自动化。

  • 适合检查 Docker、Kubernetes 配置,并生成部署与排障指导。
  • 可辅助分析日志、监控指标和安全策略,但不直接操作生产环境。
  • 安装命令:npx skills add https://github.com/faionfaion/faion-network --skill faion-devops-engineer。
  • 执行删除或重启操作前必须二次确认,避免服务中断。

SKILL.md

Entry point: /faion-net — invoke this skill for automatic routing to the appropriate domain.

DevOps Engineer Orchestrator

Communication: User's language. Config/code: English.

Purpose

Orchestrates DevOps activities by coordinating two specialized sub-skills:

  • faion-infrastructure-engineer - Infrastructure, cloud, containerization
  • faion-cicd-engineer - CI/CD, monitoring, security, operations

Context Discovery

Auto-Investigation

Check for existing infrastructure and DevOps setup:

SignalHow to CheckWhat It Tells Us
DockerfileGlob("**/Dockerfile*")Docker used
docker-compose.ymlGlob("**/docker-compose*.yml")Compose setup
*.tf filesGlob("**/*.tf")Terraform used
k8s/ or kubernetes/Glob("**/k8s/**")Kubernetes configs
.github/workflows/Glob("**/.github/workflows/*.yml")GitHub Actions
.gitlab-ci.ymlGlob("**/.gitlab-ci.yml")GitLab CI
JenkinsfileGlob("**/Jenkinsfile")Jenkins used
AWS config`Grep("aws\AWS", "**/*.tf")`AWS provider
GCP config`Grep("google\gcp", "**/*.tf")`GCP provider

Read existing configs:

  • Dockerfile for current setup
  • docker-compose for service architecture
  • CI/CD workflows for deployment pipeline

Discovery Questions

Use AskUserQuestion to understand DevOps needs.

Q1: DevOps Goal

question: "What DevOps task do you need help with?"
header: "Task"
multiSelect: false
options:
  - label: "Containerize application"
    description: "Docker, multi-stage builds"
  - label: "Set up CI/CD pipeline"
    description: "Automated builds, tests, deployment"
  - label: "Infrastructure provisioning"
    description: "Cloud resources, Terraform, IaC"
  - label: "Kubernetes deployment"
    description: "K8s configs, Helm charts"
  - label: "Monitoring & observability"
    description: "Metrics, logs, alerts"

Routing:

  • "Containerize" → Skill(faion-infrastructure-engineer) → docker-*
  • "CI/CD" → Skill(faion-cicd-engineer) → github-actions/gitlab-ci
  • "Infrastructure" → Skill(faion-infrastructure-engineer) → terraform-*
  • "Kubernetes" → Skill(faion-infrastructure-engineer) → kubernetes-*
  • "Monitoring" → Skill(faion-cicd-engineer) → prometheus, grafana

Q2: Cloud Provider (if infrastructure task)

question: "Which cloud provider are you using?"
header: "Cloud"
multiSelect: false
options:
  - label: "AWS"
    description: "Amazon Web Services"
  - label: "GCP"
    description: "Google Cloud Platform"
  - label: "Azure"
    description: "Microsoft Azure"
  - label: "Hetzner / DigitalOcean"
    description: "Budget-friendly VPS"
  - label: "Self-hosted / On-premise"
    description: "Own servers"

Routing:

  • "AWS" → aws-* methodologies
  • "GCP" → gcp-* methodologies
  • "Azure" → azure patterns (limited)
  • "Hetzner/DO" → Simpler setup, manual provisioning
  • "Self-hosted" → Docker Compose, systemd, nginx

Q3: CI/CD Platform (if CI/CD task)

question: "Where is your code hosted?"
header: "Platform"
multiSelect: false
options:
  - label: "GitHub"
    description: "Use GitHub Actions"
  - label: "GitLab"
    description: "Use GitLab CI"
  - label: "Bitbucket"
    description: "Use Bitbucket Pipelines"
  - label: "Self-hosted"
    description: "Jenkins, ArgoCD, or other"

Routing:

  • "GitHub" → github-actions-*
  • "GitLab" → gitlab-ci-*
  • "Bitbucket" → Basic pipeline config
  • "Self-hosted" → jenkins or argocd-gitops

Q4: Current State

question: "What's your current setup?"
header: "Current"
multiSelect: false
options:
  - label: "Nothing (greenfield)"
    description: "Starting from scratch"
  - label: "Local only (no deployment)"
    description: "Runs on laptop, need production"
  - label: "Basic deployment (manual)"
    description: "Have server, deploy manually"
  - label: "Have CI/CD, need improvements"
    description: "Pipeline exists, need optimization"

Context impact:

  • "Greenfield" → Full setup, best practices from start
  • "Local only" → Containerize first, then deploy
  • "Manual" → Add CI/CD, automate deployment
  • "Improvements" → Optimize existing, add monitoring

Sub-Skills

faion-infrastructure-engineer

Focus: Infrastructure provisioning, containerization, orchestration, cloud platforms

Methodologies (30):

  • Docker (6): containerization, Compose, patterns, optimization
  • Kubernetes (6): basics, resources, deployment, Helm
  • Terraform & IaC (6): basics, modules, state, patterns
  • AWS (7): foundations, services, EC2/ECS, Lambda, S3, networking
  • GCP (6): basics, patterns, compute, Cloud Run, storage, networking

When to use:

  • Docker containers and multi-stage builds
  • Kubernetes deployments and Helm charts
  • Infrastructure as Code with Terraform
  • AWS/GCP cloud infrastructure setup
  • Container orchestration

faion-cicd-engineer

Focus: CI/CD pipelines, monitoring, observability, security, operations

Methodologies (28):

  • CI/CD & GitOps (7): GitHub Actions, GitLab CI, Jenkins, ArgoCD
  • Monitoring (5): Prometheus, Grafana, ELK, AIOps
  • Security (6): secrets, SSL/TLS, security as code, nginx, load balancing
  • Backup & Cost (4): backup strategies, FinOps
  • Modern Practices (2): Platform Engineering, DORA metrics
  • Azure (2): compute, networking
  • Optimization (2): Docker optimization

When to use:

  • CI/CD pipeline setup
  • Monitoring and observability
  • Logging and alerting
  • Security and secrets management
  • Backup and disaster recovery
  • Cost optimization
  • GitOps workflows

Quick Decision Tree

NeedSub-SkillReason
Dockerfile, Docker Composeinfrastructure-engineerContainerization
K8s deployment, Helminfrastructure-engineerOrchestration
Terraform, IaCinfrastructure-engineerInfrastructure provisioning
AWS/GCP setupinfrastructure-engineerCloud platforms
GitHub Actions, GitLab CIcicd-engineerCI/CD pipelines
Prometheus, Grafanacicd-engineerMonitoring
Secrets, SSL/TLScicd-engineerSecurity
ArgoCD, GitOpscicd-engineerGitOps deployment
Backup strategiescicd-engineerOperations
Cost optimizationcicd-engineerFinOps

Common Workflows

Full Stack Deployment

1. infrastructure-engineer: Create Dockerfile
2. infrastructure-engineer: Setup K8s cluster
3. infrastructure-engineer: Provision cloud resources with Terraform
4. cicd-engineer: Setup CI/CD pipeline
5. cicd-engineer: Configure monitoring and alerts
6. cicd-engineer: Setup backup and disaster recovery

New Project Setup

1. infrastructure-engineer: docker-containerization
2. infrastructure-engineer: docker-compose for local dev
3. cicd-engineer: github-actions-cicd
4. infrastructure-engineer: iac-basics with Terraform
5. cicd-engineer: secrets-management
6. cicd-engineer: prometheus-monitoring

Production Deployment

1. infrastructure-engineer: kubernetes-deployment
2. infrastructure-engineer: helm-charts
3. cicd-engineer: argocd-gitops
4. cicd-engineer: prometheus-monitoring
5. cicd-engineer: elk-stack-logging
6. cicd-engineer: backup-basics

Tool Selection Guide

Containerization

ToolSub-SkillUse Case
Dockerinfrastructure-engineerContainerization, local dev
Kubernetesinfrastructure-engineerContainer orchestration
Helminfrastructure-engineerK8s package management

Cloud Providers

ProviderSub-SkillStrengths
AWSinfrastructure-engineerMost services, enterprise
GCPinfrastructure-engineerKubernetes, ML, BigQuery
Azurecicd-engineerMicrosoft ecosystem

CI/CD Tools

ToolSub-SkillBest For
GitHub Actionscicd-engineerGitHub repos, simple pipelines
GitLab CIcicd-engineerGitLab repos, full DevOps
Jenkinscicd-engineerComplex pipelines, self-hosted
ArgoCDcicd-engineerGitOps, K8s deployments

Monitoring

ToolSub-SkillPurpose
Prometheuscicd-engineerMetrics collection
Grafanacicd-engineerDashboards and visualization
ELK Stackcicd-engineerLog aggregation and analysis

Orchestration Logic

Single Sub-Skill Tasks

If task clearly belongs to one domain, invoke that sub-skill directly.

Multi Sub-Skill Tasks

For tasks spanning both domains, coordinate sequentially:

  1. infrastructure-engineer for cloud/container setup
  2. cicd-engineer for pipeline/monitoring setup

Related Skills

SkillRelationship
faion-netParent orchestrator
faion-software-developerProvides code to deploy
faion-ml-engineerML model deployment

Sub-Skill Details

faion-infrastructure-engineer

faion-cicd-engineer


*DevOps Engineer Orchestrator v2.0* *2 Sub-Skills | 58 Total Methodologies* *Infrastructure + CI/CD/Monitoring*

适合场景

01

用户想查找某类 Agent Skill 时

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

github-copilot

27.92%
按下载量换算29

Claude Code

20.52%
按下载量换算21

windsurf

17.51%
按下载量换算18

trae

13.25%
按下载量换算14

OpenCode

8.29%
按下载量换算9

Codex

3.61%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

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 warning/failed 结果,不能写成本站确认安全。

来源信息

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