DevOps & Cloud
4,382 results
- NewrailwayappThis skill should be used when the user says "setup", "deploy to railway", "initialize", "create project", "create service", or wants to deploy from GitHub. Handles initial setup AND adding services to existing projects. For databases, use the database skill instead.
- ProjectsrailwayappThis skill should be used when the user wants to list all projects, switch projects, rename a project, enable/disable PR deploys, make a project public/private, or modify project settings.
- ServicerailwayappThis skill should be used when the user asks about service status, wants to rename a service, change service icons, link services, or create services with Docker images. For creating services with local code, prefer the `new` skill. For GitHub repo sources, use `new` skill to create empty service then `environment` skill to configure source.
- StatusrailwayappThis skill should be used when the user asks "railway status", "is it running", "what's deployed", "deployment status", or about uptime. NOT for variables ("what variables", "env vars", "add variable") or configuration queries - use environment skill for those.
- TemplatesrailwayappThis skill should be used when the user wants to add a service from a template, find templates for a specific use case, or deploy tools like Ghost, Strapi, n8n, Minio, Uptime Kuma, etc. For databases (Postgres, Redis, MySQL, MongoDB), prefer the database skill.
- Use RailwayRailwayOperate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services, databases, and buckets, deploy code, configure infrastructure as code, environments and variables, manage domains, trace requests with OpenTelemetry, troubleshoot failures, check status and metrics, manage feature flags, database recovery and HA, cloud agents, usage limits, and…
- Azure Pipelines Generatorakin-ozerGenerate/create/scaffold azure-pipelines.yml, stages, jobs, steps, or reusable templates.
- Dockerfile Generatorakin-ozerCreate, generate, or write Dockerfiles and multi-stage Docker images. Containerize apps.
- Github Actions Generatorakin-ozerCreate, generate, or scaffold GitHub Actions workflows, action.yml, or .github/workflows CI/CD pipelines.
- Gitlab CI Generatorakin-ozerCreate, generate, or scaffold .gitlab-ci.yml pipelines, stages, and jobs.
- Jenkinsfile Generatorakin-ozerGenerate/create/scaffold Jenkinsfile — declarative, scripted, shared library, CI/CD pipelines.
- K8s Debugakin-ozerDiagnose and fix Kubernetes pods, CrashLoopBackOff, Pending, DNS, networking, storage, and rollout failures with kubectl.
- K8s Yaml Generatorakin-ozerGenerate/create/scaffold Kubernetes YAML — Deployment, Service, ConfigMap, Ingress, RBAC, StatefulSet, CRDs.
- Loki Config Generatorakin-ozerGenerate/create Loki configs — ingester, querier, compactor, ruler, S3/GCS/Azure backends.
- Terraform Generatorakin-ozerCreate, generate, write, or scaffold Terraform .tf HCL — resources, modules, providers, variables, outputs.
- Self ImprovementpskoettCaptures learnings, errors, corrections, and feature requests to enable continuous improvement. Use when: (1) User corrects Claude ('No, that's wrong...', 'Actually...'), (2) User requests a capability that doesn't exist, (3) Claude realizes its knowledge is outdated or incorrect, (4) A better approach is discovered for a recurring task, (5) Receiving a Handoff block from self-healing (a…
- Self Improvement CIpskoettCI-only self-improvement workflow using gh-aw (GitHub Agentic Workflows). Captures recurring failure patterns and quality signals from pull request checks, emits structured learning candidates, and proposes durable prevention rules without interactive prompts. Use when: you want automated learning capture in CI/headless pipelines.
- Core Data ExpertavdleeExpert Core Data guidance (iOS/macOS): stack setup, fetch requests & NSFetchedResultsController, saving/merge conflicts, threading & Swift Concurrency, batch operations & persistent history, migrations, performance, and NSPersistentCloudKitContainer/CloudKit sync.
- LangfuselangfuseInteract with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications. Use when needing to (1) query or modify Langfuse data, (2) look up Langfuse documentation, concepts, integration guides, a feature or SDK usage, or (3) do any AI engineering task (AI observability, prompt engineering/management, evaluation and…
- Migrate To LangfuseLangfuseMigrate to Langfuse from another LLM observability/evals platform (LangSmith, Arize AX, Phoenix, Braintrust, Helicone, Promptfoo, ...). A one-off vendor switch: live tracing cutover plus transfer of historical traces, datasets, prompts, and evaluators.
- Git Configprorise-coolComprehensive Git configuration guide covering global settings, aliases, performance tuning, credential management, maintenance, .gitattributes, clone shortcuts, and troubleshooting. Use when configuring Git beyond basic setup, optimizing Git performance, setting up aliases, managing credentials (GitHub CLI, Windows Credential Manager), configuring line ending strategy, setting up…
- Gpg Multi KeyProrise-coolAdvanced GPG multi-key management strategies for consultants, CI/CD automation, and enterprise teams. Configure, set up, run, and execute multi-key GPG workflows. Use when managing multiple GPG keys (personal + automation, per-client keys, enterprise keys), configuring CI/CD commit signing, implementing per-client key isolation, using conditional Git includes, setting up automated signing, or…
- Line Endingsprorise-coolComprehensive guide to Git line ending configuration for cross-platform development teams. Use when configuring line endings, setting up .gitattributes, troubleshooting line ending issues, understanding core.autocrlf/core.eol/core.safecrlf, working with Git LFS, normalizing line endings in repositories, or resolving cross-platform line ending conflicts. Covers Windows, macOS, Linux, and WSL.
- Antithesis LaunchantithesishqLaunch an Antithesis run with snouty by discovering the harness layout, building the right Docker Compose config, running `snouty validate`, bailing on validation failure, and then submitting `snouty launch` with sane metadata. Use when the user wants to send, submit, or launch an Antithesis run. This skill takes duration in minutes as input.