'orm' 검색 결과

Turn existing Azure infrastructure into Terraform code using Azure Verified Modules, reusable infrastructure components. Discover resources, document dependencies, derive import addresses from module source, and check plans for unwanted changes to the live environment.

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• Bring existing Azure resources under Terraform management
• Generate code for a subscription or resource group
• Document resource dependencies and architecture

Retrieve responses from a Google Form and review them in a table. The workflow covers listing forms when the form ID is unknown, checking form details, and fetching the submitted responses.

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• Reviewing survey responses in a table
• Checking a form when its ID is unknown
• Reviewing form details alongside submitted responses

Create a feedback form in Google Forms, retrieve its respondent link, and send that link through Gmail. The workflow connects form creation with an email invitation asking recipients to share feedback.

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• Create a form for event feedback
• Retrieve the form's respondent link
• Email participants a feedback request

Automate Boloforms operations through Rube MCP, a connection for agent tools. The skill discovers available actions, checks the service connection, and uses current input requirements to carry out requested tasks.

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• Find available Boloforms actions
• Run tasks after checking the service connection
• Process multiple operations in bulk

Build infrastructure as code with Terraform across AWS, Azure, and GCP. Create reusable modules, manage state records that track resources, configure environments and providers, and validate proposed changes before applying an explicitly approved plan.

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• Creating reusable Terraform modules
• Migrating state storage or importing existing resources
• Managing settings across development and production

Designing forms with multiple steps, progress indicators, conditional logic, and save-and-resume mechanics. The discipline of breaking complex data collection into stages that respect cognitive load while maintaining completion intent. Honest about kitchen-sink-single-page (overwhelms before the user starts), progress-theater (steps without genuine staging), and genuinely-staged (each step earns its own page) patterns. Triggers on multi-step form, multi-page form, form wizard, signup wizard, lead form, application form, intake form, configurator, onboarding form. Also triggers when a long form is converting poorly, when an audience is dropping off mid-form, or when a multi-step form is being scoped for the first time.

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Expert at building robust form experiences. Covers React Hook Form, Zod validation, server actions, progressive enhancement, error handling, and accessible form patterns. Use when "form, react-hook-form, zod, validation, form validation, useForm, form errors, server action form, forms, validation, react-hook-form, zod, server-actions, accessibility" mentioned.

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Serverless form handling on Netlify-hosted sites — detects HTML forms at deploy time, stores submissions, filters spam, and sends notifications. Use when adding a contact form, lead-capture form, file-upload form, or newsletter signup to a Netlify site; wiring AJAX form submission; setting up a custom thank-you page; adding a honeypot or reCAPTCHA to a form; getting forms working in Next.js, Nuxt, SvelteKit, Astro, or Gatsby; reading form submissions via the Netlify API; or debugging missing submissions and forms that silently fail to register.

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Helps plan and implement database structure changes and data transformations using Sequelize, TypeORM, or Prisma. Includes staged changes intended to avoid downtime, plus transaction and backup examples for rolling back failed migrations.

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• Renaming database columns in stages
• Splitting stored addresses into separate fields
• Preparing rollback steps for failed migrations

Plan and implement database structure changes and data transfers using Sequelize, TypeORM, or Prisma. Covers staged changes to keep services running, rollback procedures to undo changes, backups, and migration verification.

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• Add, rename, or change database columns
• Transform data into a new structure
• Prepare and test rollback procedures

Investigate how transformer language models produce predictions with TransformerLens. This skill guides inspection of intermediate values and attention patterns, plus experiments that replace internal values to test their effects and identify components involved in model behavior.

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• Inspecting attention patterns and intermediate values
• Testing output changes by replacing internal activations
• Analyzing attention head contributions to predictions

Read, create, and update Google Forms through gws commands. The skill helps inspect available operations and required inputs, so an agent can build requests to retrieve forms, change their contents, and update publishing settings.

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• Retrieve an existing form
• Create a form and add questions
• Update form contents in a batch

Add or update Handsontable performance tests for rendering and user interactions. The skill guides trace recording, measurement boundaries, baseline comparisons, and reports that help reviewers identify performance changes in pull requests.

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• Add a performance test for a Handsontable feature
• Investigate filtering or sorting performance
• Compare performance changes in a pull request

Inspect and manage model tuning jobs, which adapt models through additional training, in Agent Platform. List jobs, check their status and details, and cancel running jobs after reviewing the target and explicitly confirming the action.

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• List running model tuning jobs
• Check the status and details of a specific job
• Cancel a long-running job after confirmation

Create and debug formulas for Excel and Google Sheets, including formulas that return multiple results. Get placement instructions, worked examples, checks for blanks and duplicates, and equivalent formulas when moving between platforms.

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• Create formulas from sample data and expected results
• Fix errors caused by blanks or duplicate values
• Convert formulas between Excel and Google Sheets

Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.

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• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Update a workbook using its existing formatting

Investigate how transformer language models produce predictions with TransformerLens. This skill guides inspection of intermediate values and attention patterns, plus experiments that replace internal values to test their effects and identify components involved in model behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting attention patterns and intermediate values
• Testing output changes by replacing internal activations
• Analyzing attention head contributions to predictions

Use when the user asks to "build the norm card for this platform", "what are the char limits and visible-fold cutoffs here", "is the LinkedIn link-in-first-comment thing documented or folklore", or "which of our platform cards are stale"; maintains the dated, versioned per-platform norm cards in the references/platforms/ pack — char limits, visible-fold cutoffs, hashtag norms, format/aspect specs, link and first-comment placement, disclosure-label mechanics, algorithm emphases (e.g. 小红书 search+saves weighting) — every row labeled platform-documented (official doc, Measured) or Estimated-folklore (named source) with last-verified and review-by dates, and any card past its review date flagged stale rather than trusted. Extends the single pack in place; never forks a second one. Not for picking which channels to run — use channel-portfolio-planner. 平台规范卡/字符限制/折叠线/话题标签/算法侧重/过期标记

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Design, select, and analyze waveforms for radar, sonar, and active sensing using the Phased Array System Toolbox. Covers LFM, NLFM, FMCW, phase-coded, CW, stepped FM, custom IQ, ambiguity functions, sidelobe reduction, and Doppler tolerance. Key objects: phased.LinearFMWaveform, phased.NonlinearFMWaveform, phased.CustomFMWaveform, phased.PhaseCodedWaveform, phased.FMCWWaveform, phased.SteppedFMWaveform, phased.MFSKWaveform, phased.RectangularWaveform, nlfmspec2freq, shapespectrum, ambgfun, pambgfun, sidelobelevel, legendreseq, mlseq, radarWaveformGenerator.

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Conform is a React form validation library that progressively enhances native HTML forms: it validates FormData against a Zod, Valibot or Yup schema on the server and, optionally, on the client, so a form works before JavaScript loads. Use when a user asks to build a form with Conform, validate a Next.js Server Action or a React Router / Remix action, share one schema between client and server, add or remove rows in a field list, or move to Conform's future API.

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End-to-end form handling with react-hook-form, Zod schemas, validation patterns, error messaging, field arrays, and multi-step wizards. Use for complex forms, validation architecture, autosave, field dependencies. Activate on "form validation", "react-hook-form", "Zod", "form error", "multi-step form", "wizard". NOT for simple HTML forms, backend validation only, or non-React frameworks.

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Adds a per-form settings panel to the JetFormBuilder Gutenberg form editor sidebar — registers REST-exposed post meta on the form CPT, enqueues a block-editor JS bundle, and registers a panel via the JFB-specific 'jet.fb.register.plugins' filter using @wordpress/components (TextControl, SelectControl, ToggleControl) and JFB's useMetaState hook for two-way binding to post meta. Use when a companion plugin needs settings that vary per form (e.g. upload folder, file size limit, integration target) instead of (or in addition to) site-wide defaults from the global Settings page. Triggers on mentions of "JFB form sidebar", "JFB form settings panel", "form-level settings", "useMetaState", "jet.fb.register.plugins", "jet-form-builder/editor-assets/before", or scaffolding a JFB companion plugin that needs per-form config.

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Use when the user asks to "build the norm card for this platform", "what are the char limits and visible-fold cutoffs here", "is the LinkedIn link-in-first-comment thing documented or folklore", or "which of our platform cards are stale"; maintains the dated, versioned per-platform norm cards in the references/platforms/ pack — char limits, visible-fold cutoffs, hashtag norms, format/aspect specs, link and first-comment placement, disclosure-label mechanics, algorithm emphases (e.g. 小红书 search+saves weighting) — every row labeled platform-documented (official doc, Measured) or Estimated-folklore (named source) with last-verified and review-by dates, and any card past its review date flagged stale rather than trusted. Extends the single pack in place; never forks a second one. Not for picking which channels to run — use channel-portfolio-planner. 平台规范卡/字符限制/折叠线/话题标签/算法侧重/过期标记

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End-to-end form handling with react-hook-form, Zod schemas, validation patterns, error messaging, field arrays, and multi-step wizards. Use for complex forms, validation architecture, autosave, field dependencies. Activate on "form validation", "react-hook-form", "Zod", "form error", "multi-step form", "wizard". NOT for simple HTML forms, backend validation only, or non-React frameworks.

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