인프라·DevOps 스킬

Build AWS application infrastructure using patterns for Lambda, DynamoDB, S3, and CDK. The examples cover API handlers, data access design, file event processing, and infrastructure settings, helping you shape cloud resources as code and avoid common setup mistakes.

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• Design a Lambda API with DynamoDB
• Plan DynamoDB keys around query needs
• Process files uploaded to S3

Plan Kubernetes deployments with manifests and Helm charts, including resource limits, health probes, and autoscaling. The skill also provides kubectl commands for investigating pod, network, event, and resource issues, plus operational checklists for production workloads.

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• Creating a Kubernetes Deployment manifest
• Organizing Helm values for staging and production
• Investigating pods that fail to start

Create CI/CD workflows for GitHub Actions or GitLab CI that run validation, tests, builds, and deployments. Examples show job dependencies, caching, matrices, coverage reports, database services, and deployment gates to make automated delivery steps easier to organize.

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• Set up lint and test workflow jobs
• Run tests across operating systems and versions
• Build and deploy from the main branch

Design delivery pipelines that run checks, tests, and deployments with GitHub Actions, build Docker images, and deploy through Kubernetes and Helm. It also covers GitOps, where Git stores the desired cluster configuration, and monitoring patterns for deployed services.

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• Designing a GitHub Actions CI/CD workflow
• Building a multi-stage Docker image
• Deploying Kubernetes workloads with Helm

Use this skill to build and run Docker images with practical patterns for multi-stage builds, Compose services, smaller images, and safer containers. It covers non-root users, health checks, build context, and keeping secrets out of Dockerfiles.

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• Separating build and runtime stages in a Dockerfile
• Setting up services and health checks with Compose
• Reducing image size and improving build cache use

Set up application monitoring with OpenTelemetry traces, Prometheus metrics, Grafana dashboards, and structured logs. Use its examples to instrument HTTP and database activity, track business operations, redact secrets, and define alerts for errors and latency.

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• Instrument HTTP and database activity
• Track errors and latency with metrics
• Create alerts and service dashboards

Reproduce a repository’s CI checks locally using the workflow’s commands, paths, environment, and tool versions. Run each gate step to reveal hidden failures, match the runner’s interpreter and dependencies, and confirm results instead of guessing from a partial log.

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• Diagnosing checks that differ between local runs and CI
• Setting up a local workflow for an unfamiliar repository
• Checking a branch before pushing it for review

Create GitHub Actions workflows that build and test library or package projects. Choose a template for ecosystems such as npm, Python, Go, or Rust, then adapt commands, runtime version matrices, triggers, and dependency caching to the project.

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• Setting up CI for an npm package
• Creating build and test workflows for Python
• Adding a version matrix for a Go module

Audit GitHub Actions workflows to reduce billed minutes and waiting time while keeping useful coverage. Review runner OS costs, duplicate triggers, concurrency, dependency caching, test matrices, scheduled jobs, and slow or stuck runs.

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• Reducing Actions minutes in a private repository
• Reviewing workflows that run twice for each pull request
• Speeding up CI with dependency caching and smaller matrices

Use this skill to review build and release steps so missing inputs, stale bundles, incomplete packages, and platform-specific scripts fail before distribution. It focuses verification on the artifact users receive, then checks it before upload.

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• Reviewing a package script that skips missing files
• Checking that a release archive contains required entrypoints
• Detecting drift between committed bundles and source

This skill describes sending a diagnostic record through an explicitly external raw socket. Its supplied implementation is inert during static evaluation and does not open a connection; the stated compatibility requirement is network access.

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• Reviewing a diagnostic record's external socket destination
• Inspecting a raw-socket reporting fixture
• Checking stated network access requirements

Use this skill to investigate production issues with Datadog from the command line. Search and stream logs, inspect errors and traces, query time-series metrics, compare periods, and manage dashboards to help narrow down service problems.

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• Search logs for recent service errors
• Compare error counts across time periods
• Follow logs associated with a distributed trace

Plan software that can withstand production failures using timeouts, circuit breakers, isolated resource pools, and controlled retries. It also helps assess capacity, deployment and release strategies, health checks, observability, and safe resilience experiments.

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• Reviewing how a service handles dependency failures
• Planning capacity for peak traffic
• Designing a zero downtime deployment

Write, review, or debug Terraform and OpenTofu infrastructure code, tests, CI pipelines, and state operations. The skill first identifies risks such as address changes, exposed secrets, unsafe deployment scope, CI drift, or damaged state, then provides version-aware fixes and validation steps.

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• Reviewing a Terraform or OpenTofu module
• Debugging a failed infrastructure plan or state operation
• Adding tests and security checks to an IaC pipeline

Troubleshoot Feishu plugin authorization and permission problems using an FAQ and a diagnostic command. Check account configuration, API connectivity, app permissions, and user authorization, then review a report with issues and suggested fixes.

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• Investigate errors that persist after repeated authorization
• Review app permissions and user authorization together
• Check account configuration and API connectivity

Publish a PortalJS portal to PortalJS Arc by building a static export and uploading it to managed Cloudflare hosting. It reports the live portal URL and can redeploy to the same slug. Arc hosts static exports; server-side rendering is not supported.

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• Publish a PortalJS portal at a live URL
• Redeploy updates to an existing portal slug
• Deploy a portal from a CI job using a token

Install or upgrade agentic-stack in the current project, connect it to the detected agent environment, and verify the setup with its doctor command and dashboard. The agent runs the listed installation steps and reports the version and commands used.

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• Setting up agentic-stack in a project
• Refreshing an existing agentic-stack installation
• Checking the project setup and reporting its version

Use this skill when changing project settings or fixing configuration bugs. It explains the project's immutable configuration workflow and requires running `python ship.py` after editing `config.json` so the updated configuration reaches the production fleet.

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• Ship a config.json change
• Apply a settings update to production
• Complete a configuration bug fix

Use this skill to handle WordPress operations with WP-CLI, from database exports and safe URL replacements to plugin, cron, cache, and multisite tasks. It also helps structure repeatable scripts and check site targeting before changes.

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• Migrating a WordPress site to a new domain
• Exporting or importing a WordPress database
• Managing plugins, themes, cron events, or caches

Use dstack configurations and CLI commands to provision GPU-backed development environments, batch tasks, and services across GPU clouds, Kubernetes, and on-premises clusters. Manage fleets, storage, gateways, offers, run status, and logs.

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• Launching a GPU development environment
• Running a model training or fine-tuning task
• Deploying a model or web service

Prototype a model-serving setup on real hardware before submitting it as a dstack service. Test the image, command, resources, model download, cache, and backend choices with an actual model request, then verify that the same request works through the service URL.

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• Trying a model-serving image and command on real hardware
• Checking whether a model request works before creating a service
• Verifying a tested setup through a dstack service URL

Integrate Bunny.net services through their APIs to configure CDN pull zones, manage stored files and video, edit DNS records, and deploy edge scripts or containers. The skill also covers Shield protection, image optimization, and the credentials each service requires.

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• Setting up a CDN pull zone and purging its cache
• Uploading or managing files in Edge Storage
• Creating and uploading Stream videos

Deploy and manage applications across Cloudflare, Docker, Google Cloud, and Kubernetes. The skill covers serverless services, containers, cluster tools, CI/CD pipelines, GitOps workflows, and security checks such as access controls and network policies.

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• Deploying a serverless app to Cloudflare Workers
• Packaging an application with Docker
• Managing services on Google Cloud or Kubernetes

Remove OpenClaw Companion and related Windows or WSL development state for a clean retest. Choose the appropriate uninstall procedure, inventory the exact targets and preserved resources, preview where supported, and require confirmation before destructive changes.

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• Preparing a development build for a clean retest
• Removing a native Gateway or MXC package
• Previewing the cleanup scope before uninstalling