Total 44,134 skills, DevOps & Cloud Services has 2731 skills
Showing 12 of 2731 skills
Interact with Google Cloud Storage to manage buckets, objects, and access controls for scalable data storage.
通用发布工作流。自动检测版本文件和变更日志。支持 Node.js、Python、Rust、Claude 插件和通用项目。当用户说"发布"、"release"、"新版本"、"bump version"、"push"、"推送"时使用。
GitHub Actions workflow patterns for React Native iOS simulator and Android emulator cloud builds with downloadable artifacts. Use when setting up CI build pipelines or downloading GitHub Actions artifacts via gh CLI and GitHub API.
Automate deployment to Vercel platform. Manages deployment configuration, environment setup, and CI/CD integration.
Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to AWS, use deploy-on-aws plugin instead.
Create and manage Azure Bot resources using the Azure CLI. Covers the full lifecycle: identity creation, bot registration, channel configuration (Teams, Slack, Telegram, Direct Line, and more), and deployment to Azure App Service. ESPECIALLY for OpenClaw agents.
Use for kubectl, CNPG, and kustomize/helm operations in this repo, including rollouts and cluster debugging.
Execute Instantly incident response procedures with triage, mitigation, and postmortem. Use when responding to Instantly-related outages, investigating errors, or running post-incident reviews for Instantly integration failures. Trigger with phrases like "instantly incident", "instantly outage", "instantly down", "instantly on-call", "instantly emergency", "instantly broken".
Cross-compile OBS Studio plugins from Linux to Windows using MinGW, CMake presets, and CI/CD workflows. Covers toolchain files, headers-only linking, OBS SDK fetching, and multi-platform artifact packaging. Use when building OBS plugins for Windows from Linux or setting up CI pipelines.
Implement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native applications with BigQuery, Cloud Run, GKE, Vertex AI, and other GCP services.
Hydra Head guidance: setup, keys, peers, lifecycle. Best practices from hydra.family. Use operator skill for execution.
Use when starting infrastructure, testing, deployment, or framework-specific tasks - automatically searches PRPM registry for relevant expertise packages and suggests installation to enhance capabilities for the current task