“devops”的搜索结果

Improve resumes for software engineering, technical product management, data, and DevOps roles. Organize technical skills, connect achievements to business results, and highlight projects in a format suited to applicant tracking systems, software used to process job applications, and recruiters.

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• Organize technical skills for a target role
• Rewrite experience to show technical and business impact
• Choose projects to highlight during a career change

Plan Azure infrastructure around application needs, scale, and budget. Generate Bicep templates, files that define cloud resources as code, then review estimated costs, configure deployment pipelines, and check security settings before production.

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• Planning Azure infrastructure for a web app
• Choosing services for microservices or event-driven processing
• Generating Bicep templates and deployment pipelines

Create CI/CD configurations, which automate build, test, and deployment steps, alongside Terraform infrastructure templates and Kubernetes deployment files. Generate health-check and rollback instructions to review before applying changes to cloud infrastructure or application environments.

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• Setting up GitHub Actions or CircleCI pipelines
• Creating Terraform modules for AWS, GCP, or Azure
• Preparing blue/green or rolling deployments

Assess security weaknesses in CI/CD systems that automate software builds and delivery. Covering GitHub Actions, Jenkins, GitLab CI, and Azure DevOps, the skill examines unsafe inputs, excessive permissions, exposed credentials, and tampered build outputs, alongside detection and defensive controls.

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• Reviewing workflow inputs and execution triggers
• Assessing pipeline permissions and credential exposure
• Checking build artifact handoffs for tampering risks

Operate a live AWS workload with AWS DevOps Agent — incident investigation, root-cause analysis, and release-readiness review — for startups with no dedicated DevOps or SRE engineer. Use when a live AWS workload is misbehaving (production is down, 5xx errors, latency spike, timeouts, it broke after the last deploy, an alarm fired, a pasted CloudWatch alarm or stack trace, find the root cause, write a postmortem, no one on call), for pre-merge review (is this PR safe to ship, blast radius), or to set up, pause, stop, or check the cost of AWS DevOps Agent. Detects existing setup first and never re-onboards. Asks one explicit Yes/No covering cost (two-month trial, Activate credits) and account access before any setup; code egress stays off unless asked. Do not use for: new architecture (architect-for-startups), scaffolding (start-building-for-startups), migrations (gcp-to-aws, azure-to-aws, heroku-to-aws, llm-to-bedrock), or general Activate and credits questions (knowledge-base-for-startups).

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Azure DevOps integration. Manage data, records, and automate workflows. Use when the user wants to interact with Azure DevOps data.

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Use when adding, removing, or updating a local organizer on a devopsdays event team - covers the team_members entry, the photo, and the mandatory email to info@devopsdays.org that gates the merge.

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软件架构 (含 应用架构 / 系统架构 / 分布式 后端架构 / 前后端 数据流 与 数据模型 设计 / API 边界 / 可扩展性 / 演进式架构 — 不含 硬件架构 / 纯企业架构 / 纯 DevOps / 纯安全架构) (software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines).) Master OS — automated mastery of software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines).: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines). problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「软件架构」「系统设计」「system design」「应用架构」「service design」

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Azure DevOps migration to GitHub Actions — syntax mappings and the migration report template for YAML pipelines, templates, variable groups, service connections, deployment jobs, stages, conditional logic. Load with `migration-core` when migrating Azure DevOps sources to GitHub Actions.

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DevOps e deploy de aplicacoes — Docker, CI/CD com GitHub Actions, AWS Lambda, SAM, Terraform, infraestrutura como codigo e monitoramento.

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DevOps infra v2 — VPS, Docker, Coolify, CI/CD, monitoring, Tailscale

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DevOps & Infrastructure IA — Gère le VPS, Docker, déploiements, monitoring, sécurité, tunnels Cloudflare. Expert Hetzner + Coolify + self-hosting.

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Product-fleet ops desk (Busabase App-in-Skill) for uptime/service health, SSL certificate expiry, domain renewal, API key rotation, cloud spend anomalies, and a review queue of agent-proposed action cards. Use when the user invokes $kelly-devops or /kelly-devops, or asks about uptime, service health checks, SSL certificate expiry, domain renewal, domain expiry, API key rotation, token rotation reminders, cloud spend anomaly, billing spikes, ops desk, incident review, or reviewing agent-proposed action cards (renew domain, rotate key, investigate spend, restart service, acknowledge incident).

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Cria e mantém o inventário da plataforma — contas AWS, clusters, ambientes, bancos, hosts e o mapeamento que distingue produção de staging. Use quando o usuário disser "configurar devops", "mapear a infra", "qual o ambiente", "cadastrar cluster", ou quando qualquer skill não encontrar .claude/pwdev-devops-context.md. Fundação: sem este arquivo, o plugin não sabe o que é produção — e trata tudo como produção.

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Design and review infrastructure and release workflows with checks tailored to the environment. Covers automated build and deployment pipelines, containers, health checks, rollback plans, feature flags, and mobile releases to help assess readiness before deployment.

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• Reviewing deployment and rollback plans
• Designing automated build and deployment pipelines
• Checking Docker and Kubernetes configurations

Create rollout plans for application and infrastructure changes. Organize readiness checks, deployment steps, health indicators, rollback procedures, and stakeholder communications, adapting the detail to the target environment, change type, and level of risk.

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• Prepare a production deployment plan
• Define rollback steps and decision criteria
• Set post-deployment health checks

Organize responses to service outages and degraded performance, from initial assessment through recovery review. Classify severity, reconstruct event timelines, draft stakeholder updates, and create response guides and follow-up actions based on incident findings.

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• Classify outage severity and plan initial response
• Reconstruct an incident timeline from scattered events
• Draft incident updates for customers and internal teams

Find the engineering specialist skill that matches a task, from system design and frontend development to testing, security, and AI. This index explains each area of focus and directs agents to load the relevant skill’s instructions.

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• Choosing a skill for system design or implementation
• Finding guidance for testing and code review
• Locating specialists for AI and data work

Create Dockerfiles, automated build and deployment pipelines, Kubernetes configurations, and infrastructure templates. The skill also prepares deployment checks, rollback procedures, and incident response runbooks to support application releases and production operations.

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• Setting up automated build and deployment pipelines
• Packaging applications with Docker
• Managing Kubernetes and cloud infrastructure as code

Helps configure Playwright tests in automated CI/CD pipelines across major providers. Covers splitting tests across runners, Docker execution, shared login setup, code coverage, and saving reports and debugging artifacts to investigate failures.

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• Running Playwright tests in GitHub Actions or GitLab CI
• Splitting tests across multiple runners
• Saving traces and reports after test failures

Coordinate the AWS DevOps Agent across multiple AgentSpaces from one Claude Code session — route questions to the right space (prod vs staging vs knowledge), query several spaces in parallel and synthesize, or compare findings across accounts. Use whenever the user has more than one AgentSpace configured, mentions multiple AWS accounts, or asks something like "check both prod and staging", "compare across accounts", or "ask the knowledge space".

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Run a deep root-cause investigation on the AWS DevOps Agent. Use when the user describes an incident, alarm, outage, or unexplained behavior — keywords like "5xx", "503", "OOM", "latency spike", "deployment failure", "rollback", "sev1", "investigate", "root cause", "debug", "alarm fired", "service down". Polls and streams progress, then surfaces recommendations.

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Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics — anything that needs a 5-30 second answer rather than a 5-8 minute deep investigation. Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if.

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Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.

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