Cloud, CI/CD, monitoring, and deployment (6.8K skills)
Design automated build, test, and deployment workflows for GitHub Actions, GitLab CI/CD, and Jenkins. Covers job ordering, dependency caching, secret handling, and gradual releases that use health checks before expanding deployment.
Plan and operate Google Cloud Platform infrastructure using services such as Cloud Run and GKE, Google's managed Kubernetes service. Get guidance on deployment, access permissions, networking, monitoring, and cost controls for the system's requirements.
Helps write and review Nginx configurations for websites and APIs. Covers forwarding requests to application servers, distributing traffic, HTTPS settings, caching, compression, and logs to support performance tuning and investigation of slow responses.
Build, run, and troubleshoot Docker containers, which package applications and their dependencies. Improve Dockerfiles and Compose configurations to create smaller images, manage persistent data, and address startup, networking, and resource issues.
Helps design and provision Microsoft Azure infrastructure using az CLI and Bicep configuration files. Covers choosing application hosting services, managing identities and secrets, designing networks, setting up monitoring, and organizing resources for cost management.
Create reusable Helm charts, packages of Kubernetes deployment templates and settings. The skill guides environment configuration, dependency management, shared templates, and release procedures so applications can be deployed across environments with fewer template changes.
Helps configure and troubleshoot Linux networks, including firewalls, routing, and DNS, which translates domain names into addresses. Covers traffic capture, isolated test networks, WireGuard VPN setup, and TCP tuning across physical servers, virtual machines, and containers.
Helps deploy, manage, and troubleshoot applications on Kubernetes using kubectl and Helm. Covers container logs, resource settings, network access, and deployment strategies to investigate failures and review how applications run.
Design infrastructure for agents that run in isolated remote environments. Plan faster session startup, saved work states, shared sessions, authentication, and delivery of code changes and other results back to users.
Rent and manage vast.ai GPUs based on the training task rather than a chosen hardware model. The skill estimates requirements, compares offers by total expected cost, prepares the selected instance, and retrieves results before destroying it.
Manage GPU compute jobs on Qizhi through a command-line tool. Find available nodes, submit distributed training runs, launch batches with different parameter combinations, and inspect, monitor, or stop jobs across workspaces.
Operate an opencodex proxy, which acts as an intermediary for AI service requests. Use CLI commands to inspect configuration, manage accounts and models, review request routing, and check usage and runtime health.
Set up and authenticate lark-cli, choose between user and bot identities, and resolve missing permissions. The skill also guides authorization links, JSON result checks, update notices, and confirmation steps for high-risk operations.
Prepare an Apache bRPC release with tracked progress, version updates, release candidate checks, and draft release notes and emails. The workflow leaves signing, publishing, and other external release actions to the release manager.
Install and configure WizTelemetry Logging in KubeSphere to collect container output and file logs. Use its API to filter logs by workload, time, or keywords, retrieve statistics, and export results.
Manage users, team workspaces, and projects in KubeSphere through its API. Create accounts and resources, invite members, inspect existing access, and assign or change built-in permission roles with minimum access as the default.
Set up distributed tracing in KubeSphere to follow requests across services. Covers extension installation, trace collection, automatic application instrumentation, and API queries for traces, individual processing steps, and service connections.
Manage KubeSphere’s Traefik-based Gateway API extension for external access to applications. Install, upgrade, or remove it across selected clusters, and inspect GatewayProxy resources, which manage proxy instances, to investigate deployment failures and unhealthy gateways.
Set up WizTelemetry Events to collect and store Kubernetes events in KubeSphere. Configure index retention policies and use the query API to filter warnings, inspect resource events, generate statistics, or export matching records.
Set up KubeSphere’s WizTelemetry Data Pipeline to collect, transform, and route logs, audit data, events, and notifications. Configure delivery to OpenSearch, deploy agents across selected clusters, and check their operating status.
Operate KubeSphere DevOps pipelines within a permitted project using KubeSphere APIs and OAuth authentication. Create pipelines, run selected branches, monitor execution, and retrieve logs or build artifacts without requiring cluster administrator access or direct Jenkins access.
Create and run KubeSphere DevOps pipelines connected to Jenkins to automate builds and tests. Covers branch-specific workflows, required input parameters, private repository credentials, execution monitoring, logs, and downloading build output files.
Manage KubeSphere extensions from discovery through installation, configuration, upgrades, and removal. Check dependencies and exact versions, prepare an InstallPlan deployment resource, and inspect status and logs to investigate installation or upgrade failures.
Manage OpenKruise in KubeSphere, from extension installation to troubleshooting. Generate SidecarSet configuration for adding helper containers and CloneSet configuration for application updates, including in-place changes and staged rollouts, with commands to apply and verify each configuration.