DevOps 与云
部署、CI/CD、云平台和基础设施
Skills 列表

devops-rollout-plan
生成全面的发布计划,包括预检检查、分步部署、验证信号、回滚流程以及基础设施和应用变更的沟通计划。
github
dotnet-upgrade
用于全面 .NET 框架升级分析和执行的即用提示词
github
breakdown-epic-arch
用于根据产品需求文档创建Epic的高层技术架构的提示词。
github
azure-deployment-preflight
对 Azure 的 Bicep 部署执行全面的预检验证,包括模板语法验证、what-if 分析和权限检查。在部署到 Azure 之前使用此技能,以预览更改、识别潜在问题并确保部署成功。当用户提到部署到 Azure、验证 Bicep 文件、检查部署权限、预览基础设施更改、运行 what-if 或准备 azd provision 时激活。
github
excalidraw-diagram-generator
根据自然语言描述生成 Excalidraw 图表。当用户要求“创建图表”、“制作流程图”、“可视化流程”、“绘制系统架构”、“创建思维导图”或“生成 Excalidraw 文件”时使用。支持流程图、关系图、思维导图和系统架构图。输出可直接在 Excalidraw 中打开的 .excalidraw JSON 文件。
github
analyzing-dns-logs-for-exfiltration
'Analyzes DNS query logs to detect data exfiltration via DNS tunneling,
mukul975
analyzing-apt-group-with-mitre-navigator
Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups' TTPs for detection-gap analysis. Use to compare threat-actor technique coverage, find gaps in detection engineering, or produce Navigator visualizations for threat-intel reporting.
mukul975
analyzing-indicators-of-compromise
'Analyzes indicators of compromise (IOCs) including IP addresses, domains,
mukul975
analyzing-linux-elf-malware
'Analyze malicious Linux ELF binaries — botnets, cryptominers, ransomware,
mukul975
claude-automation-recommender
分析代码库并推荐适合的 Claude Code 自动化方案(包含 Hooks、Subagents、Skills、Plugins 以及 MCP 服务端)。当用户询问自动化推荐、希望优化其 Claude Code 配置、提及改进 Claude Code 工作流、询问如何为新项目首次配置 Claude Code,或想了解应该使用哪些 Claude Code 功能时使用。
anthropics
c4-architecture
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
davila7
draw-io
draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.
davila7
hyperframes-cli
HyperFrames CLI 开发循环。用于运行 npx hyperframes init、add、catalog、capture、lint、validate、inspect、layout、snapshot、preview、play、render、publish、lambda、doctor、browser、info、upgrade、skills、compositions、docs、benchmark、telemetry、transcribe、tts 或 remove-background 时,或排查 HyperFrames 构建/渲染环境问题时。AWS Lambda 云端渲染的入口点(`hyperframes lambda deploy / render / progress / destroy / policies`)。
heygen-com
vercel-cli-with-tokens
使用基于令牌的身份验证在 Vercel 上部署和管理项目。当使用 Vercel CLI 通过访问令牌而非交互式登录时使用——例如“部署到 Vercel”、“设置 Vercel”、“向 Vercel 添加环境变量”。
vercel-labs
chief-ai-officer-advisor
Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI Act, NIST AI RMF, AI governance, model risk, or AI economics. Strategic only — does not duplicate engineering AI/ML skills.
alirezarezvani
ci-cd-pipeline-builder
Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.
alirezarezvani
cmux-backend
cmux 的后端 TypeScript 与云端虚拟机(Cloud VM)开发规范。适用于修改 web/app/api、web/services、后端脚本、云端 VM 生命周期、云厂商集成、Postgres、Stack Auth 付费门槛限制、数据库迁移(migrations)以及云厂商镜像构建脚本等场景。
manaflow-ai
baoyu-diagram
创建专业的深色主题SVG图表,涵盖架构图、流程图、时序图、结构图、思维导图、时间线、说明/概念图等多种类型。当用户请求任何技术或概念图表、系统可视化、流程、数据流、组件关系、网络拓扑、决策树、组织架构图、状态机或任何结构/逻辑/过程的可视化表示时,使用此技能。当用户说“画个图”“画一个架构图”“diagram”“flowchart”“sequence diagram”“draw me a ...”或上传内容并要求可视化时,也会触发。输出始终是一个独立的.svg文件。
jimliu
baoyu-image-gen
支持使用 OpenAI GPT Image 2、Azure OpenAI、Google、OpenRouter、DashScope(阿里通义万象)、Z.AI GLM-Image、MiniMax、即梦(Jimeng)、豆包(Seedream)、Replicate 及 Agnes API 进行 AI 图像生成。支持文生图、参考图(垫图)、宽高比设置,以及基于已保存 Prompt 文件的批量生成。默认串行生成;当用户已有多个 Prompt 或需要稳定的多图吞吐量时,推荐使用批量并行生成。适用于用户要求生成、创建或绘制图片的场景。
jimliu
cloud-run-alert-configuration
Configures best-practice, high-signal alerting policies for Google Cloud Run resources (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), request latency, container instance saturation (warning/critical), container CPU/memory utilization and allocation, billable instance time, job execution status, and worker pool queue backlog. Don't use for GKE workloads (use gke-alert-configuration) or Compute Engine VMs.
google
context-mode
Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process data", "parse JSON", "filter results", "extract errors", "check build output", "analyze dependencies", "process API response", "large file analysis", "page snapshot", "browser snapshot", "DOM structure", "inspect page", "accessibility tree", "Playwright snapshot", "run tests", "test output", "coverage report", "git log", "recent commits", "diff between branches", "list containers", "pod status", "disk usage", "fetch docs", "API reference", "index documentation", "call API", "check response", "query results", "find TODOs", "count lines", "codebase statistics", "security audit", "outdated packages", "dependency tree", "cloud resources", "CI/CD output". Also triggers on ANY MCP tool output that may exceed 20 lines. Subagent routing is handled automatically via PreToolUse hook.
mksglu
google-cloud-solution-hybrid-search-alloydb
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.
google
gke-alert-configuration
Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, error rates using Multi-Window Multi-Burn-Rate SLO alerts, memory saturation, and cluster health such as CrashLoopBackOff and Node NotReady conditions. Don't use for non-GKE compute runtimes such as standalone Compute Engine VMs or standalone Cloud Run services without GKE.
google
google-cloud-solution-multi-agent-security
Designs, deploys, and secures Google Cloud Agent Gateway solutions. Use when the user needs to configure multi-agent security, ingress (CLIENT_TO_AGENT), or egress (AGENT_TO_ANYWHERE) patterns involving Model Armor, IAP, and Agent Registry. Don't use for general Cloud Load Balancing or basic VPC setup not related to Agent Gateways.
google