'form' 검색 결과

Surfaces user-facing custom messages from a JetFormBuilder custom Form Action — both the idiomatic path (register message types via 'jet-form-builder/form-messages/register' so they appear in the form's Messages panel and can be overridden globally per form) and the action-local path (custom message fields inside the action editor, dispatched via Action_Exception for errors or via context + 'jet-form-builder/form-handler/after-send' + Messages_Manager::dynamic_success() for success messages). Use when a custom JFB action needs configurable messages for cases like "already subscribed", "duplicate row skipped", "API rate limited", or per-action success copy. Triggers on mentions of "JFB messages", "Action_Exception", "Base_Action_Messages", "jet-form-builder/form-messages/register", "_jf_messages", "dynamic_success", "add_context_once" with a message, "after-send" hook, or "custom action message".

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기사나 공지를 바탕으로 X, LinkedIn, Threads, Bluesky용 게시글을 작성합니다. 작성자의 말투를 유지하며 각 매체의 제약에 맞게 조정합니다.

• 새 서비스 공지를 여러 매체에 전합니다
• 기사를 매체별 게시글로 바꿉니다
• 출시 정보를 여러 매체에 맞게 조정합니다

Compose로 Android·iOS·Desktop·Web의 화면을 공유하도록 상태 관리, 화면 이동, 재사용 컴포넌트, 테마와 렌더링 성능 개선을 돕습니다.

• 여러 플랫폼에서 화면을 공유합니다
• 화면 상태와 사용자 동작을 정리합니다
• 화면과 대화상자 이동을 구현합니다

Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Add formulas, formatting, and charts, preserve existing template styles, and recalculate formulas to check for errors before delivering the spreadsheet.

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• Clean messy CSV rows and headers into a usable spreadsheet
• Add formulas and charts to an existing Excel workbook
• Build a financial model with editable assumptions

Build a central platform for collecting, analyzing, and sharing cyber threat information. Connect MISP, OpenCTI, TheHive, and Cortex to import feeds, add context to suspicious indicators, manage cases, and track platform activity.

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• Build a central threat intelligence platform
• Automate threat feed ingestion
• Add context to suspicious IP addresses and domains

Integrate Flash Attention into transformer models to reduce processing time and GPU memory use for long sequences. Covers PyTorch integration, advanced attention options, and benchmarks that compare speed, memory use, and output accuracy.

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• Speeding up transformer training on long sequences
• Reducing GPU memory use during attention
• Adding Flash Attention to a PyTorch model

Format plain text or Markdown into a readable article with headings, emphasis, lists, and tables while preserving the original wording. Add titles and summaries, adjust spacing in mixed Japanese and English text, and save a formatted copy.

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• Formatting a plain text draft as Markdown
• Improving an article's headings and emphasis
• Fixing spacing in mixed Japanese and English text

Call Gemini and OpenMaaS models such as Llama, DeepSeek, and Qwen through Google Cloud Agent Platform. Prepare authentication and SDK code, run prompts, configure connection endpoints, and troubleshoot common request errors.

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• Send a test prompt to Gemini
• Call Llama or DeepSeek with the OpenAI SDK
• Write code to call an existing custom endpoint

Retrieve BigQuery execution records and resource metrics using the right tool for each task. The skill guides monitoring tool selection and SQL queries for performance investigations, capacity analysis, and reviews of billable compute and storage usage.

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• Retrieve execution details for a slow job
• Check compute capacity contention and queue delays
• Review reserved capacity and autoscaling limits

Deploy Model Garden models to Agent Platform endpoints, the addresses used for model requests. Check supported hardware and estimated hourly costs, inspect deployment progress, test predictions, and remove deployed resources after use.

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• Choose a deployable model and supported hardware
• Estimate hourly deployment costs before approval
• Check deployment progress and test predictions

Write and manage infrastructure as code with Terraform and OpenTofu. Design reusable modules, review planned changes before applying them, bring existing resources under management, and organize shared state so teams can track infrastructure across environments.

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• Designing reusable infrastructure modules
• Bringing existing resources under Terraform management
• Separating development, staging, and production state

Train sentence-transformers models for search, similarity, and reranking, which reorders search results by relevance. Choose a model type, prepare data, configure training, compare results against a baseline, and publish the trained model to Hugging Face Hub.

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• Fine-tuning an embedding model for domain-specific search
• Training a model to rerank search results
• Training SPLADE or ColBERT retrieval models

Build iOS and Android apps with React Native and Expo. Get guidance and typed component code for navigation, lists, animations, storage, and platform differences, with attention to scrolling performance and testing on both platforms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building mobile screens with React Native and Expo
• Adding screen navigation with Expo Router
• Improving list scrolling and animation performance

Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR/RLAIF, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.

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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 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.

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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