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Lambda Labs에서 GPU 서버를 시작하고 머신러닝 학습과 추론을 실행하는 절차를 안내합니다. SSH 연결, 영구 저장소, Python API 조작과 여러 GPU를 활용한 분산 학습도 다룹니다.

• 장시간 학습에 사용할 전용 GPU 환경 준비
• 여러 GPU로 대규모 언어 모델 추가 학습
• 데이터셋과 학습 체크포인트 유지

로컬 개발 서버나 Webhook 수신 주소를 SSH로 인터넷에 공개합니다. 별도 전용 프로그램 설치 없이 Pinggy 공유 URL을 받고 비밀번호, 토큰, IP로 접근을 제한할 수 있습니다.

• 실행 중인 개발 서버 공유
• 로컬 환경에서 Webhook 수신
• 로컬 HTTP 방식 MCP 서버에 외부 연결

Docker 컨테이너, 이미지, 저장 볼륨과 네트워크를 관리합니다. 여러 서비스 실행, 로그를 통한 장애 조사, 디스크 정리와 Dockerfile 개선에도 사용합니다.

• 컨테이너를 시작하고 중지합니다
• Docker Compose로 여러 서비스를 실행합니다
• 로그로 컨테이너 종료 원인을 조사합니다

클라우드 GPU로 머신러닝 학습과 추론을 실행하고 모델을 API로 공개하도록 돕습니다. Python으로 실행 환경을 정의하고 병렬 처리와 정기 실행도 설정합니다.

• GPU 서버 관리 없이 모델 학습
• 자동 확장되는 API로 모델 공개
• 대량 데이터 병렬 처리

Prepare code changes for sharing by merging the base branch, running tests, and reviewing the diff. Update VERSION and CHANGELOG, then commit, push, and create a pull request, a proposal to merge the changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a pull request for completed work
• Test and review changes before pushing
• Merge the base branch before sharing changes

Update gstack by detecting how it is installed, refreshing registered installations, and handling project copies and version migrations. Receive a summary of user-facing changes, along with installation-specific recovery information if an upgrade fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrade an existing gstack installation
• Sync a project copy with the primary installation
• Review release changes after an upgrade

Configure deployment, the process of publishing an application, for /land-and-deploy. Identify the hosting platform, production URL, health check endpoints, and status commands, then save those settings in CLAUDE.md for future deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing settings for /land-and-deploy
• Identifying the hosting platform and production URL
• Saving health checks and deployment status commands

Merge an existing pull request, wait for automated checks and deployment, then verify production health with canary checks, targeted checks for problems. Continue the release workflow after /ship has created the pull request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Merging an existing pull request
• Waiting for CI and deployment to finish
• Checking production health after a release

Monitor a live app after deployment for console errors, slower performance, and page failures. Periodic screenshots and comparisons with pre-deployment baselines help identify anomalies and check whether the release is behaving as expected.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitoring a live app after deployment
• Checking for performance regressions after a release
• Comparing screenshots before and after deployment

Connect an application's LLM calls through the Caveman Cloud gateway to measure usage and cost without changing request content. The skill updates connection settings and verifies the integration with one small, real provider request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start measuring an LLM application's usage and cost
• Route existing LLM calls through the gateway
• Verify a connection with a real request

Review Caveman Cloud experiment states, evaluation results, and safety checks to recommend a supported next action. Identify missing or failing evidence and explain execution blocks; the current agent interface reads experiment data without changing its lifecycle state.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing whether an experiment is ready to start
• Checking whether evidence supports experiment approval
• Assessing cancellation or rollback options

Add logs, metrics, traces that follow requests across services, and actionable alerts to production features. This skill guides signal design, request identification, response instructions, and checks that the collected data can explain failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add monitoring signals to a new production feature
• Connect logs across services and background jobs
• Review alerts and their response instructions

Set up automated checks and deployment workflows with GitHub Actions. Covers tests, type checks, builds, security audits, preview deployments, staged releases, and rollback plans, with guidance for diagnosing failures and reducing pipeline runtime.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up CI for a new project
• Add automated tests and quality checks
• Plan staged deployments and rollbacks

Prepare a production release with checks for code quality, security, performance, accessibility, and infrastructure. Plan monitoring, gradual feature exposure, and rollback steps, then use release metrics and reliability limits to guide rollout decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check readiness for a first production release
• Plan a gradual rollout for a major feature
• Define monitoring and post-launch checks

Investigate slow Paperclip runs, page requests, and CI suites using Honeycomb traces, which show timed operations. Find relevant traces, separate overlapping work, identify dominant delays, and configure optional tracing or add missing measurements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find delays before, during, or after agent execution
• Investigate slow issue pages with browser timing
• Identify CI jobs or test files delaying the suite

Set up a Paperclip maintenance bot that applies a chosen skill to a repository and opens pull requests. Configure its agent, schedule or event trigger, work limits, reviewers, and readiness checks before activation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Schedule nightly repository maintenance
• Trigger maintenance from webhook events
• Assign maintenance to an existing or new agent

Coordinate a complete Paperclip release, from candidate verification and canary testing to stable npm publication and GitHub Release creation. Track release notes, Docker smoke tests, announcement follow-up, and linked content cases when Cases are enabled.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Coordinating a complete Paperclip release
• Promoting a tested canary to a stable release
• Checking release candidates with Docker smoke tests

Publish a folder of static HTML and assets to the configured Paperclip S3/CloudFront host. Validate the folder before upload, obtain a persistent public URL, and update an existing page from its original publishing directory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sharing a static report through a persistent URL
• Publishing an HTML prototype or viewer
• Checking a site's structure and URL before publishing

Investigate failing or pending checks on the latest commit of a GitHub pull request. Reproduce actionable failures, fix and push changes, then recheck remotely until checks pass or a specific blocker is reported.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fixing CI failures after review changes
• Investigating checks that remain pending
• Verifying remote checks after pushing fixes

Start and repair isolated Paperclip development workspaces through managed services. Restore a full database clone when needed, then verify login, populated data, health, service visibility, and whether the process using the port belongs to the intended workspace.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting or restarting a managed development workspace
• Repairing setup, login, or missing cloned data
• Resolving port conflicts between workspaces

Create a one-page service operations guide in HTML. It organizes service details, alerts and first responses, dashboard links, procedures with copyable commands, an on-call schedule, and an incident checklist so teams can find operational instructions together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an operations guide for a service
• Documenting first responses to alerts
• Organizing deployment and rollback procedures

Delegate release work to a subagent that runs the claude-mem skills version-bump and childhood in order. Use it to coordinate those two stages as a single automated task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegating release work to a subagent
• Running version-bump followed by childhood
• Coordinating two release stages in one request

Delegate a coding task to a subagent that runs build, merges the ready pull request, and continues from the updated main branch into release, connecting implementation and release work in one automated sequence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegating a coding task through release
• Connecting a ready PR merge to release work
• Running build and release in sequence

Monitor a shipped release by checking published packages, live services, installed plugins, and late CI results or user reports. Verify regressions, prepare authorized fixes, and report release health with evidence and any remaining verification gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking package contents after publication
• Verifying changed user flows in production
• Confirming installed plugins use the shipped version