'orm' 검색 결과

Generate waveform visualizations from audio files. Use when a user asks to create waveform images, build audio player visualizations, generate waveform data for web players, create podcast episode previews, build audio thumbnails, render waveform PNGs for social media, extract peak data as JSON, or integrate waveform generation into audio processing pipelines. Covers audiowaveform CLI, JSON/binary data output, and web player integration.

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World-class infrastructure automation - Terraform, Pulumi, CloudFormation, and the battle scars from managing infrastructure that handles production trafficUse when "terraform, pulumi, cloudformation, infrastructure, iac, state file, remote backend, s3 backend, dynamodb lock, terraform plan, terraform apply, terraform destroy, module, workspace, provider, resource, state drift, import, aws, gcp, azure, infrastructure, terraform, pulumi, cloudformation, iac, devops, aws, gcp, azure, cloud" mentioned.

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Form patterns for React: react-hook-form (most common), Formik (legacy/stable), TanStack Form (newer). Validation via zod / yup / valibot. Controlled vs uncontrolled inputs, field arrays, multi-step wizards. Use this skill to: - Wire react-hook-form with a validation schema. - Pick between controlled and uncontrolled patterns. - Build multi-step forms with state preservation. - Handle async validation (e.g., username availability). - Integrate forms with TanStack Query mutations. Do NOT use this skill for: - General state management (see react-state-management). - Routing (see react-routing). - Component conventions (see react-conventions). - Testing forms (see react-testing).

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When the user wants to optimize any form that is NOT signup/registration — lead capture, contact, demo request, application, survey, or checkout forms; "form friction," "form completion rate," "form abandonment," "too many fields," "nobody fills out our form." For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro.

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Cross-platform development patterns for OneKey. Use when writing platform-specific code, handling platform differences, or working with native/web/desktop/extension platforms. Triggers on platform, native, web, desktop, extension, iOS, Android, Electron, platformEnv, .native.ts, .web.ts, .desktop.ts, .ext.ts, cross-platform, multi-platform.

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긴 입력을 다루는 Transformer의 학습과 추론에 Flash Attention을 적용해 속도와 GPU 메모리 사용량을 개선합니다. 설치부터 성능 측정과 출력 비교까지 안내합니다.

• 긴 입력을 사용하는 학습 속도 개선
• 긴 텍스트 추론의 메모리 사용량 절감
• 처리 속도와 모델 출력 비교

필드 이름과 값을 연결한 JSON으로 웹 양식을 작성하고 요청에 따라 제출합니다. 저장된 템플릿을 재사용하거나 새로운 필드 대응표를 저장할 수 있습니다.

• 가입 및 문의 양식 작성
• 반복 제출에 저장된 템플릿 재사용
• 새 양식의 필드 대응표 저장

Review messages that display counts and check whether each target language gets the correct plural form. Replace simple number-and-text joins or singular/plural branches with Intl.PluralRules or ICU MessageFormat, which select wording according to language-specific rules.

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• Reviewing count messages in multilingual interfaces
• Adding plural forms for Arabic or Russian
• Checking translation files and i18n settings

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.

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

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

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

Turn plain language requirements into SQL, investigate slow queries, document database structures, and prepare migration templates with rollback plans. Support everyday database development and ORM use, where libraries connect application code to database tables.

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• Writing SQL for reports and data retrieval
• Investigating slow queries and repeated database calls
• Preparing schema changes and rollback plans

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.

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

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

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

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

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.

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

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.

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

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

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