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Agent Skill · 研究检索

devops-workflow-engineer(DevOps 工作流程工程师)

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。

devops-workflow-engineer 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,权限为执行命令;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 34,018。

总安装 2,277周安装 93GitHub Stars 103下载 729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:devops-workflow-engineer(DevOps 工作流程工程师)
来源仓库:https://github.com/borghei/claude-skills
仓库路径:skills/devops-workflow-engineer
安装命令:
npx skills add https://github.com/borghei/claude-skills --skill devops-workflow-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。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/borghei/claude-skills --skill devops-workflow-engineer

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。

用于生成 GitHub Actions 工作流、优化现有流水线并制定部署策略。支持 CI/CD 流程设计、健康检查配置和回滚机制规划。可分析管道瓶颈,推荐 canary 发布等高级部署模式。输出 YAML 文件与执行脚本,便于集成到开发流程中。

devops-workflow-engineer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/devops-workflow-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/borghei/claude-skills --skill devops-workflow-…;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

    它需要执行命令,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

devops-workflow-engineer 怎么安装?

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

devops-workflow-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。

devops-workflow-engineer 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/borghei/claude-skills --skill devops-workflow-engineer 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

devops-workflow-engineer 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。

devops-workflow-engineer 用的人多吗?

公开数据是累计安装 2,277 次,近一周安装 93 次,下载 729 次,GitHub 103 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。

devops-workflow-engineer 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
devops-workflow-engineer

DevOps 工作流程工程师 · 本页

2,277103执行命令未明确有提醒

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

DevOps Workflow Engineer

The agent generates GitHub Actions workflow YAML, analyzes existing pipelines for optimization opportunities, and creates deployment plans with strategy selection, health checks, and rollback procedures.


Quick Start

# Generate a CI workflow
python scripts/workflow_generator.py --type ci --language python --test-framework pytest

# Analyze existing pipelines for optimization
python scripts/pipeline_analyzer.py .github/workflows/ --format json

# Plan a deployment strategy
python scripts/deployment_planner.py --type webapp --environments dev,staging,prod --strategy canary

Tools Overview

ToolInputOutput
workflow_generator.pyWorkflow type + languageGitHub Actions YAML (ci, cd, release, security-scan, docs-check)
pipeline_analyzer.pyWorkflow file or directoryOptimization findings, cost estimates, severity ratings
deployment_planner.pyProject type + environmentsDeployment plan with strategy, health checks, rollback

All tools support --format json and --output for file writing.


Workflow 1: CI Pipeline Design

The agent generates pipelines following fail-fast ordering:

  1. Lint and format (~30s) -- cheapest gate first
  2. Unit tests (~2-5m) -- matrix across versions
  3. Build verification (~3-8m)
  4. Integration tests (~5-15m, parallel with build)
  5. Security scanning (~2-5m)
jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: make lint

  test:
    needs: lint
    strategy:
      matrix:
        python-version: ['3.10', '3.11', '3.12']
    steps:
      - uses: actions/setup-python@v5
        with: { python-version: "${{ matrix.python-version }}", cache: pip }
      - run: pip install -r requirements.txt
      - run: pytest --junitxml=results.xml

  security:
    needs: lint
    steps:
      - run: pip-audit -r requirements.txt

CI targets:

MetricTargetFix
Total CI time< 10 minParallelize, add caching
Lint step< 1 minUse pre-commit locally
Unit tests< 5 minSplit suites, use matrix
Flaky rate< 1%Quarantine flaky tests
Cache hit rate> 80%Review cache keys

Workflow 2: CD Pipeline and Multi-Environment Deployment

python scripts/deployment_planner.py --type webapp --environments dev,staging,prod --format json

Environment promotion flow:

Build -> Dev (auto) -> Staging (auto) -> Production (manual approval)
                                              |
                                        Canary (10%) -> Full rollout
AspectDevStagingProduction
TriggerEvery pushMerge to mainManual approval
Replicas123+ (auto-scaled)
SecretsRepositoryEnvironmentVault/OIDC
MonitoringBasic logsFull observabilityFull + alerting

Key CD rules:

  • Build once, deploy the same artifact everywhere
  • Tag artifacts with commit SHA for traceability
  • Use environment protection rules for production gates
  • Maintain rollback capability at every stage

Workflow 3: Pipeline Optimization

python scripts/pipeline_analyzer.py .github/workflows/ --format json -o report.json

The agent checks for:

  1. Missing caching -- dependencies reinstalled every run
  2. No timeouts -- stuck jobs burn budget
  3. Sequential chains that could parallelize
  4. Deprecated actions with newer versions available
  5. Security issues -- secrets in logs, missing permissions scoping
  6. Cost inefficiency -- oversized runners, no path filtering

Optimization techniques:

Path-based filtering -- skip CI for docs-only changes:

on:
  push:
    paths: ['src/**', 'tests/**', 'requirements*.txt']
    paths-ignore: ['docs/**', '*.md']

Concurrency cancellation -- cancel superseded runs:

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

Dependency caching:

- uses: actions/cache@v4
  with:
    path: ~/.cache/pip
    key: ${{ runner.os }}-deps-${{ hashFiles('**/requirements.txt') }}

Deployment Strategies

Decision tree:

Zero-downtime required?
  No  -> Rolling deployment
  Yes -> Need instant rollback?
    No  -> Rolling with health checks
    Yes -> Budget for 2x infrastructure?
      Yes -> Blue-green
      No  -> Canary

Canary traffic split schedule:

Phase%DurationGate
15%15 minError rate < 0.1%
225%30 minP99 latency < 200ms
350%60 minBusiness metrics stable
4100%--Full promotion

GitHub Actions Patterns

Reusable workflows -- define once, call everywhere:

# .github/workflows/reusable-deploy.yml
on:
  workflow_call:
    inputs:
      environment: { required: true, type: string }
      image_tag: { required: true, type: string }
    secrets:
      DEPLOY_KEY: { required: true }

OIDC authentication -- no long-lived credentials:

permissions:
  id-token: write
  contents: read
steps:
  - uses: aws-actions/configure-aws-credentials@v4
    with:
      role-to-assume: arn:aws:iam::123456789:role/github-actions
      aws-region: us-east-1

Secrets hierarchy: Organization > Repository > Environment. Never echo secrets; use add-mask for dynamic values. Prefer OIDC for cloud auth.


Runner Cost Optimization

RunnervCPURAMCost/minBest For
2-core27 GB$0.008Standard tasks
4-core416 GB$0.016Build-heavy
8-core832 GB$0.032Large compilations
16-core1664 GB$0.064Parallel test suites

Monthly estimate: (runs/day) x (avg min/run) x 30 x (cost/min) Example: 50 pushes/day x 8 min x 30 = 12,000 min x $0.008 = $96/month.


Anti-Patterns

Anti-PatternProblemFix
Monolithic workflow45-min single workflowSplit into parallel jobs
No cachingReinstall deps every runCache dependencies and builds
Secrets in logsLeaked credentialsadd-mask, avoid echo
No timeoutStuck jobs burn budgettimeout-minutes on every job
Full matrix every push30-min matrix on every commitFull nightly; reduced on push
No rollback planStuck with broken deployAutomate rollback in CD pipeline

Troubleshooting

ProblemCauseSolution
Workflow never triggersWrong on: config or branch name mismatchVerify triggers match branching strategy
Cache miss every runVolatile cache key (timestamp)Use hashFiles() on lock files
Matrix fails on one OS onlyPlatform-specific paths or depsUse shell: bash; install OS deps per matrix entry
Secret not availableWrong environment scopeEnsure job declares correct environment:
Health check fails after deployApp not started before checkAdd retry loop with backoff
Concurrency cancels needed runsOverly broad group keyScope to workflow-ref; separate groups for deploy

References

GuidePath
GitHub Actions Patternsreferences/github-actions-patterns.md
Deployment Strategiesreferences/deployment-strategies.md
Agentic Workflows Guidereferences/agentic-workflows-guide.md

Integration Points

SkillIntegration
release-orchestratorRelease workflows align with versioning and changelog
senior-devopsDeployment strategies complement infra automation
senior-secopsSecurity scanning steps feed SecOps dashboards
senior-qaCI quality gates map to QA acceptance criteria
incident-commanderRollback procedures connect to incident playbooks

Last Updated: April 2026 Version: 1.1.0

平台分布

Codex

37.94%
按下载量换算277

Claude

32.08%
按下载量换算234

Cursor

18.77%
按下载量换算137

Gemini CLI

8.81%
按下载量换算64

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/borghei/claude-skills --skill devops-workflow-engineer 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

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