인프라·DevOps 스킬

Compare Sentry issues across selected time windows and releases to find new or recurring problems and changes in frequency or affected users. Prioritize findings using user impact and the strength of available evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare issues before and after a release
• Find recurring issues and frequency changes
• Prioritize issues by affected users

Assesses a release using Sentry errors, recurring problems, affected users, and crash evidence. Compares equivalent periods with the previous stable release, identifies gaps in the evidence, and recommends rollout actions only when the findings support them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing a production release with the previous stable version
• Reviewing new or recurring issues and their user impact
• Checking whether quiet results reflect missing data

Diagnose failed GitHub Actions runs using available job and step evidence. Identify the likely cause, propose a focused fix, and, when implementation is requested, update local code and run relevant checks while noting what needs remote verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate a failed GitHub Actions run
• Find failing checks associated with a pull request
• Implement and locally check a focused fix

Investigate failing GitHub Actions checks on a pull request using the GitHub CLI. The skill gathers logs, summarizes failures, and proposes a fix plan, then implements changes only after explicit approval and reports changes and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failed GitHub Actions checks on a pull request
• Summarizing error logs and proposing a fix plan
• Implementing an approved fix and reporting test results

Monitor automated build and test runs in Nx Cloud, review suggested fixes, and apply or improve them when runs fail. Set monitoring limits and approval preferences, then follow subsequent runs to check the outcome.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitoring CI runs after pushing changes
• Reviewing and applying suggested CI fixes
• Improving fixes that fail local verification

Inspect production errors recorded in Sentry through read-only API access. Summarize unresolved issues, recent crashes, occurrence counts, and event details to understand what happened and when each problem was last seen.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review unresolved production issues from the last 24 hours
• Summarize recent crashes and occurrence counts
• Inspect events linked to a specific issue

Deploy applications to Render by inspecting the code and preparing service settings. Generate a render.yaml configuration or create services through MCP, an agent tool connection, then check deployment status, logs, and basic service health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish a web application or static site on Render
• Prepare deployment settings for apps with databases or workers
• Generate and validate render.yaml

Plan AWS architectures, compare services, and review security using documentation verified through AWS MCP tools, which connect agents to external information. Get implementation examples and trade-offs tailored to the team's existing tools, experience, and constraints.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare AWS services for a new application
• Review security in an existing AWS architecture
• Choose tools for defining infrastructure in code

Deploy an application or website to Vercel and receive its deployment link. Create a preview by default, request production explicitly, or use the included fallback script when the command line tool has no saved credentials.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a preview link for a website
• Deploying a project from a specified folder
• Deploying without saved CLI credentials

Deploy applications and infrastructure to Cloudflare by choosing services that fit the project. Covers Workers, Pages, storage, and related platform options, with authentication checks and references for configuring and publishing the selected setup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing a web application on Cloudflare
• Deploying serverless functions with Workers
• Choosing storage services for an application

Deploy web projects to Netlify with its command-line tool. The skill checks login status, links or creates a site, detects build settings, and publishes a preview or production version with deployment URLs and log links.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing a web project to Netlify
• Sharing a preview URL for review
• Linking a Git repository to an existing Netlify site

Use Quicknode to connect applications to blockchains, retrieve wallet and asset data, and monitor activity. Covers event notifications, live data streams, historical backfills, and SQL queries, with guidance for choosing suitable services and access methods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting an app to blockchain data
• Setting up transaction and event notifications
• Recovering missing historical stream data

Coordinate Cloud Claw workflows from launching an agent deployment to managing its virtual machine. It routes work to focused skills for setup, starting and stopping machines, viewing logs, renewing usage, and accessing dashboards through local altllm commands.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Launch an agent deployment and manage it afterward
• Inspect, start, or stop an existing virtual machine
• Review logs and access a deployment dashboard

Launch a new OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw using the local CLI. Configure the agent type, deployment name, model, and Telegram settings according to the supported launch options and requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Launch a new OpenClaw deployment
• Deploy PicoClaw or Ottie for Telegram
• Choose an OpenClaw model before launch

Manage AltLLM Portal API keys for external agents and applications through the local CLI. Covers creation, model access limits, disabling, and revocation, while documenting production failures that currently restrict working operations to listing and creating keys.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• List active and disabled API keys
• Create an API key for an external application
• Specify which models a new key can access

Follow a release workflow for game changes, from screenshots and changelog entries through testing, commits, and live deployment. Verify the published version, measure transfer sizes, and report evidence while applying approval rules for large uploads.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Releasing game features or fixes with screenshots
• Adding a versioned changelog entry with images
• Testing changes after integrating the latest main

Prepare and deploy Three.js or other web games from a tested commit, a specific saved code version. Check the live game's controls, assets, and display, then record release evidence and a rollback target.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Releasing a tested web game
• Checking controls and assets in production
• Recording release evidence and a rollback target

Package a finished local web project for GitHub with a tailored README and a preview from the running project. Audit files before pushing, publish compatible projects through GitHub Pages, and verify the repository and live demo.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Share a local HTML, CSS, or JavaScript experiment
• Prepare a README and a preview from the running project
• Publish a compatible web project on GitHub Pages

Estimate whether a model execution fits the available hardware and identify likely performance limits. Separate memory capacity, computation, data movement, and sequential waiting to produce a table of assumptions, ideal minimum times, unknowns, and measurement priorities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a model execution fits the hardware
• Estimating ideal computation and data transfer times
• Assessing the overall benefit of a local optimization

Plan when an agent’s tool environments are created, kept available, released, and restored. Estimate peak concurrency, resource use during work and waiting, total task duration, and cost across model calls, tool execution, validation, and retries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating peak concurrent agent environments
• Comparing environment retention and recreation
• Assessing cold starts and shared environment pools

Compare ways to distribute AI inference across multiple instances, including replicas and separate input-processing and generation stages. Estimate capacity, throughput, delays, state-transfer costs, and recovery overhead to support routing and scaling decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare replicas with separate inference stages
• Plan routing around compute capacity and cached state
• Evaluate expert placement and load imbalance

Compare batching, request scheduling, and memory management for a single model serving instance. Assess concurrent request capacity, response times, generation speed, and GPU time per result that meets the required quality and deadline.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing batching and request scheduling options
• Checking memory capacity for concurrent requests
• Assessing cache reuse and offloading tradeoffs

Estimate cross-server traffic, network bottlenecks, and synchronization waits for AI training or inference. Map communication onto physical network paths and assess how topology or communication changes affect the time needed to complete the job.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find communication bottlenecks in distributed AI workloads
• Compare network topologies and communication paths
• Estimate synchronization waits under concurrent traffic

Compare running models or tasks on a device, nearby edge infrastructure, or in the cloud. Break down interaction delays, data transfers, energy use, costs, and failure recovery to assess deployment choices for multimodal and real-time agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing device, edge, and cloud execution
• Estimating interaction delays on unstable networks
• Assessing battery use and sustainable processing speed