'form' 검색 결과

Review HTML forms and JavaScript requests to find data sent over unencrypted HTTP. Check submission URLs, pages with implicit form destinations, and server redirects, then update endpoints to use HTTPS.

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• Checking login form submission URLs
• Reviewing fetch() and XMLHttpRequest endpoints
• Checking forms without an action attribute

Review form validation so users, including people using screen readers, can understand and correct errors. Check field descriptions, required states, and grouped choices in rendered HTML, while accounting for React forms that handle submission in the browser.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Make form errors understandable to screen reader users
• Check how required fields and grouped choices are marked
• Review validation in React forms

Create ad headlines, body text, and static or video concepts tailored to advertising platforms. Use performance data and customer feedback to develop variations, check format limits, and define measurable tests for the next round.

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• Drafting search ad headlines within character limits
• Developing new variations from ad performance data
• Planning static ads grounded in customer reviews

Guide reviews of Linux Kernel patches for memory safety, Terraform plans for costly resource changes, and Kubernetes configurations for restricted permissions. A separately installed tool and configured AI model produce advisory findings and candidate manifests for validation.

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• Review Linux Kernel patches for memory safety issues
• Check Terraform plans for potentially costly resource changes
• Draft Kubernetes permission settings from security requirements

Read, create, and edit Excel workbooks, including formulas, formatting, charts, and multiple sheets. Clean CSV or TSV tables and prepare spreadsheet deliverables, with guidance on choosing fixed calculated values or formulas that update later.

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• Clean inconsistent CSV or TSV tables
• Build Excel reports with totals and charts
• Update an existing workbook while keeping its formatting

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.

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

Fill a web form with show details, a date, a time, a topic, and an image using Playwright MCP, a browser automation connection. The workflow stops before submission and asks for a review.

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• Preparing a show information form
• Automating form entry with an image attachment
• Reviewing completed fields before submission

Create CI/CD configurations, which automate build, test, and deployment steps, alongside Terraform infrastructure templates and Kubernetes deployment files. Generate health-check and rollback instructions to review before applying changes to cloud infrastructure or application environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up GitHub Actions or CircleCI pipelines
• Creating Terraform modules for AWS, GCP, or Azure
• Preparing blue/green or rolling deployments

Design and create new Cloud Storage buckets for uses such as backups, media, and AI data. Check project security and name availability, choose storage and protection settings, and produce creation commands or code in the preferred format.

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• Creating storage for application media
• Designing buckets for sensitive data
• Preparing backup and long-term archive storage

Design and implement Google Cloud serverless web apps with separate presentation, application, and data layers. Produces architecture diagrams, Terraform infrastructure code, deployment instructions, and validation scripts for private networking and controlled access between layers.

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• Design a serverless web app with separate application layers
• Generate Terraform for private Cloud Run and Cloud SQL connections
• Plan regional data residency requirements

Review Google Cloud workloads using the Performance Optimization pillar of the Well-Architected Framework. Assess performance requirements and architecture, then get actionable recommendations for resource allocation, caching, independent components, automatic scaling, and ongoing monitoring.

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• Review resource capacity for expected peak demand
• Assess automatic scaling for traffic spikes
• Review component design for independent scaling

Build Gemini API integrations on Google Cloud’s Agent Platform using the Google Gen AI SDK. Get guidance on authentication, text and media processing, structured JSON responses, function calls, caching, batch processing, and real-time voice or video interactions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Gemini to enterprise applications
• Processing images, audio, and documents
• Generating JSON in a specified format

Create Terraform files that define alerts for AI agent latency, errors, token use, safety, security, and response quality. Check telemetry and existing policies first, then validate the generated configuration. Quality alerts require Vertex AI.

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• Configure alerts for agent latency and error rates
• Monitor rapid increases in token usage
• Monitor safety triggers and permission denials

Generate Terraform alerts for Cloud Run services, jobs, and worker pools using PromQL, a monitoring query language. Monitor errors, latency, resource usage, job failures, and queue delays, with configurable thresholds and explanations of when each alert triggers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitor Cloud Run service errors and latency
• Detect failed batch job executions
• Monitor worker pool backlogs and message age

Develop and migrate LangBot messaging adapters for Event-Based Agents, its event-driven architecture. Check conversion into shared event and message formats, implement platform APIs, and verify behavior through unit tests and real platform interactions.

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• Adding a messaging platform adapter to LangBot
• Migrating an existing adapter to the EBA layout
• Testing event and message conversion in both directions

Prepare large text collections for AI models with fast tokenizers, which split text into model inputs. Train custom vocabularies, trace tokens to original text positions, adjust input lengths, and integrate the results with transformers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tokenizing large text collections
• Training a custom vocabulary
• Mapping extracted names or answers back to original text

Implement Kotlin applications with asynchronous tasks, shared code across platforms, Android interfaces, and servers. The skill covers state modeling, cancellation handling, tests, and code checks, with guidance for Compose, Ktor, and Flow data streams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement asynchronous tasks with coroutines and Flow
• Design shared code for Kotlin Multiplatform
• Build Android interfaces with Jetpack Compose

Create Dockerfiles, automated build and deployment pipelines, Kubernetes configurations, and infrastructure templates. The skill also prepares deployment checks, rollback procedures, and incident response runbooks to support application releases and production operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up automated build and deployment pipelines
• Packaging applications with Docker
• Managing Kubernetes and cloud infrastructure as code

Measure website performance with Lighthouse, interpret scores and reports, and compare results across builds. Set limits for loading times and resource sizes, then integrate audits into CI, an automated workflow that checks code changes.

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• Measure mobile and desktop website performance
• Understand Lighthouse scores and failed checks
• Set limits for resource sizes and loading times

Plan AI-assisted ad creative production, testing, budget allocation, and measurement across advertising platforms. It provides workflows for comparing messages, adapting assets to each channel, and refreshing ads when repeated exposure starts to reduce performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning AI-assisted ad image and video production
• Testing opening hooks, narratives, and calls to action
• Refreshing ads as repeated exposure reduces performance

Plan and configure Kubernetes deployments, Git-based continuous delivery, and cloud resources defined in code. Covers Helm, Kustomize, ArgoCD, Flux, Terraform, Pulumi, and AWS CDK, with patterns for environment separation, secrets, validation, updates, and rollback.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create Helm charts and environment-specific configurations
• Set up Git-based delivery with ArgoCD or Flux
• Organize cloud resources with Terraform or Pulumi

Move .NET tests from VSTest to Microsoft.Testing.Platform, the test execution platform. Update project settings, test commands, and CI pipelines for the selected SDK, then verify test counts and expected reports or diagnostic files.

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• Migrate .NET test projects from VSTest to MTP
• Update test commands in CI pipelines
• Translate xUnit.net v3 test filters

Assess classic ASP.NET applications for security weaknesses in ViewState, the data used to preserve page state, exposed logs, error details, and service endpoints. Organize evidence and separate observed weaknesses from demonstrated impact when preparing findings.

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• Review classic ASP.NET Webforms security
• Check exposure of trace and error logs
• Inspect WCF service metadata access

Compare how one topic should be presented across social platforms, considering audience expectations, tone, content formats, distribution, and monetization. Get platform recommendations and guidance on adapting titles, structure, and presentation for each recommended platform.

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• Choosing the main platform for a content topic
• Comparing audience expectations across platforms
• Planning how to adapt existing content