'staging' 검색 결과

Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Laravel 프로젝트의 환경, 코드 검사, 테스트, 의존성 취약점, 데이터베이스 변경과 큐를 순서대로 확인해 병합이나 배포 전 문제를 점검합니다.

• Laravel 풀 리퀘스트 전 점검
• 대규모 리팩터링이나 의존성 갱신 후 검증
• 스테이징 및 운영 환경 배포 전 점검

Mailtrap으로 가입 확인과 비밀번호 재설정 메일을 구현합니다. 개발용 테스트와 실제 발송 환경을 분리하고 인증, 도메인 확인, 발송 실패 처리도 다룹니다.

• 가입 확인 메일 추가
• 비밀번호 재설정 메일 구현
• 실제 발송 없이 메일 테스트

허가받은 웹 앱의 공개 페이지부터 취약점 재현까지 조사합니다. 확인된 문제의 증거, 영향, 재현 절차와 수정안을 담은 보안 보고서를 작성합니다.

• 스테이징 환경의 취약점 조사
• 의심되는 취약점 재현 및 확인
• 증거와 수정안을 보안 보고서로 정리

Audit important pages for settings that interfere with search indexing, including noindex directives, HTTP headers, and robots.txt rules. Identify accidental restrictions, suggest configuration fixes, and guide follow-up checks in Google Search Console.

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• Investigating important pages missing from Google Search
• Checking for leftover staging restrictions after launch
• Reviewing CMS indexing settings for pages and categories

Set up ArgoCD to keep Kubernetes deployments aligned with configuration stored in Git, an approach called GitOps. Follow guidance for multiple environments, automatic synchronization, deployment ordering, access permissions, and troubleshooting differences.

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• Set up Kubernetes deployments driven by Git changes
• Manage staging and production configurations
• Configure synchronization order and pre-deployment jobs

Create and edit Agent QA tests, test suites, and hooks, then validate their structure and tool-generated IDs before running them. Use MCP, an agent tool connection, or the CLI within a configured workspace.

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• Create and validate a checkout test for staging
• Update an existing test suite
• Check YAML definitions and IDs

Investigate failed Agent QA runs using logs, recorded artifacts, and local source code. Make a focused code or test-definition repair, then verify the affected behavior while keeping product and infrastructure defects visible.

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• Repair a failed staging test from recorded evidence
• Update an outdated Agent QA YAML definition
• Distinguish test failures from product or infrastructure defects

Design CI/CD pipelines that move applications through development, staging, and production. Define approval and security checks, gradual release strategies, health checks, and rollback procedures, and investigate gates or deployments that fail to progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing CI/CD pipelines across multiple environments
• Introducing canary or blue-green releases
• Investigating stalled approvals and release gates

Design dbt data transformations with clearly organized models, data quality tests, documentation, and incremental processing that updates only part of a dataset. Use it to structure analytics tables and organize a dbt project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing a dbt project into model layers
• Adding data quality tests
• Designing incremental updates for large tables

Build GitLab workflows that automate building, testing, and deployment. The skill covers pipeline stages, dependency caching, runners that execute jobs, and manual approval before production deployment, with examples for Docker, Kubernetes, and Terraform.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automating builds and tests in GitLab
• Reviewing caches to improve pipeline performance
• Separating staging and production deployments

Land verified Codewhale changes on main with focused commits and checks before pushing. Handle contributor pull requests, resolve conflicts, preserve authorship credit, and confirm required review evidence before merging.

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• Commit and push verified changes in a shared checkout
• Resolve contributor pull request conflicts and preserve credit
• Confirm required approval evidence before merging a pull request

Check AI agent plugins and tools for changed, missing, or untracked files using SHA-256 file fingerprints. Generate integrity records, review dependency version settings, and check requirements before promoting a plugin to production.

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• Generate integrity records for plugin files
• Check third-party tools for file changes
• Audit dependency version settings

Develop network monitoring for signs that may precede ransomware encryption. Uses detection rules, linked log events, and threat intelligence to identify suspicious activity and define how alerts should be investigated, prioritized, and escalated.

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• Creating detection rules for activity before ransomware encryption
• Linking suspicious logins, scans, and file share access
• Investigating unusual internal network communications

Deploy decoy credentials, documents, and URLs with Canarytokens to detect suspicious access. Guides token generation, placement, alert testing, and inventory tracking, with email or webhook notifications when someone interacts with a planted token.

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• Add intrusion alerts to shared folders
• Detect use of decoy cloud credentials
• Monitor decoy documents for signs of data theft

Build a GitLab CI/CD pipeline with automated checks for vulnerable code, dependencies, container images, running applications, and exposed secrets. Covers scanner configuration, consolidated findings, and approval policies for serious vulnerabilities before production deployment.

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• Add automated security scans to .gitlab-ci.yml
• Check dependencies and container images for known vulnerabilities
• Detect credentials and API keys committed to source control

Search Windows PowerShell logs for traces of Empire, a framework used after a system is compromised. Identify characteristic launch commands, encoded code, module calls, and communication paths, then report suspicious events with timelines and severity scores.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected Empire activity
• Checking encoded commands and communication paths
• Building detection rules from Empire indicators

Prepare for payroll by forecasting cash, drafting overdue invoice reminders to address shortfalls, and checking timesheets for anomalies. Produce a validated payroll worksheet or stage approved inputs in Gusto, leaving final payroll submission to the owner.

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• Checking whether cash will cover the next payroll
• Prioritizing overdue invoices to address a payroll shortfall
• Reviewing timesheet anomalies before payroll

Prepare payroll from timesheets, checking hours, pay, and unusual entries for each employee. Produce a run sheet for the owner to review and approve, with supported staging in Gusto and accounting entries after submission.

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• Checking missing punches and duplicate time entries
• Reviewing regular, overtime, and paid leave hours
• Explaining payroll changes from the previous period

Run Playwright tests on BrowserStack to check behavior across browsers and devices. Configure cloud connections, compare results by browser, inspect session videos and logs, and set up a tunnel for testing local or restricted environments.

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• Checking browser compatibility with Playwright tests
• Configuring BrowserStack cloud test connections
• Investigating failures through session videos and logs

Guide cmux backend changes with consistent rules for Effect, a TypeScript library for structured error handling. Covers Cloud VM state, database migrations, provider integrations, and authentication and payment checks so changes follow the intended architecture.

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• Implementing API error handling
• Updating Cloud VM lifecycle logic
• Preparing database migrations

Check whether furniture occupies an available measured floor area in Pascal, including rotation, overlap, and required spacing. Receive a spatial report that separates verified floor fit from unverified height, door movement, and delivery conditions.

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• Checking a sofa against measured room dimensions
• Comparing furniture placement at different rotations
• Checking overlap and required walking space

Run NemoClaw live end-to-end tests, which check complete workflows, or inspect existing release evidence. Routes requests to local or trusted GitHub workflows and reports the tested commit, results, workflow link, and relevant job links.

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• Run end-to-end tests for the latest pull request commit
• Run end-to-end tests for the current main commit
• Test working-tree source in a requested local run

Guides migration of existing AI inference workloads to self-hosted GKE, Google’s managed Kubernetes service. Covers requirements, GPU sizing, deployment configuration, model storage, validation, and traffic cutover using gcloud and kubectl.

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• Migrating an existing Cloud Run AI service to GKE
• Planning a self-hosted replacement for Gemini API inference
• Sizing GPUs and preparing deployment configuration