'ble' 검색 결과

Prepare Handsontable changes for review by checking branch names, running required checks, and creating or updating draft pull requests. Fill the project template with test evidence and add changelog entries in the required order.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Submitting a feature or documentation branch for review
• Updating a pull request description with test evidence
• Adding a changelog entry after opening a pull request

Add user-facing text to Handsontable through its translation system. The skill covers translation keys, language files, plural forms, right-to-left layouts, preserving Japanese and other East Asian input behavior, and converting text to lowercase according to language rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding translated menu labels
• Adding a language file or plural forms
• Checking Arabic or Persian right-to-left layouts

Write and update Handsontable unit tests with Jest and type tests with TypeScript. Explains file placement, focused test runs, boundary cases, and checks for public types, while helping choose between isolated logic tests and browser tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding unit tests for calculations and data transformations
• Covering bug fixes and internal refactoring
• Checking TypeScript declarations and public exports

Create or modify Handsontable cell validators, functions that check whether input values are valid. Covers empty values, asynchronous callbacks that return validation results, access to cell settings, validator registration, and pitfalls involving dropdown behavior and corrected values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a custom cell validation rule
• Reviewing empty values and asynchronous validation
• Checking dropdown validation in never-selected cells

Write and review Handsontable tests that check intended behavior. The skill guides bug reproduction, meaningful assertions, failure diagnosis, and fresh test runs, while covering mock boundaries and migration of broken legacy tests to Playwright.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reproducing a bug with a failing test
• Diagnosing whether code or test expectations are wrong
• Reviewing assertions for meaningful behavior checks

Operate FrontendIntegration resources from existing YAML definitions using kubectl, the Kubernetes command-line tool. Manage updates and enabled state, inspect build output, troubleshoot failures, and install or manage the frontend-forge extension.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a FrontendIntegration from existing YAML
• Update, enable, or disable a FrontendIntegration
• Inspect build output and troubleshoot failures

Create, migrate, refine, or debug CARLA vehicle assets with Blender and Unreal. Use real vehicle references to guide geometry and materials, configure wheels, lights, and physics, and deliver editable sources with evidence from runtime validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a CARLA vehicle from real vehicle references
• Refining tires, materials, or body geometry
• Migrating vehicles and debugging Unreal integration

Clarify a problem before choosing solutions through structured questions about team assumptions, affected people, and overlooked stakeholders. Produce a completed problem canvas, a refined problem statement, and a question to guide solution exploration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying why users abandon onboarding
• Reframing a stakeholder's feature request
• Aligning teams on the problem to solve

Build and review Cloudflare Durable Objects for applications that retain shared state, such as chat rooms, games, and booking systems. Covers SQLite storage, remote method calls, WebSockets, scheduled work, Workers integration, configuration, and Vitest tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build shared state for chat rooms, games, and bookings
• Implement remote methods, SQLite storage, WebSockets, and alarms
• Configure Workers bindings and migrations

Build reusable maps, charts, rankings, diagrams, and opening or ending components for iPolloWork Video. Connect them to shared editing forms, project themes, structured data, AI editing areas, and animation timelines that support jumping to specific playback positions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build reusable map, chart, or ranking components
• Connect component settings to shared forms and tables
• Make visuals follow the project theme

Check whether Apache Hudi table maintenance is keeping pace with incoming data. Runs a read-only utility, interprets its JSON report, and explains unhealthy or skipped checks with concrete next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking Hudi table maintenance health
• Investigating delayed compaction or cleaning
• Finding why the active timeline keeps growing

Design amino acid sequences from a protein backbone using SolubleMPNN, a model trained on soluble protein structures. Generate candidates with a solubility bias for redesigning aggregation-prone proteins or preparing an E. coli expression screen.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Redesign protein candidates that aggregate
• Adapt membrane-adjacent folds for soluble expression
• Generate candidates for an E. coli expression screen

Request an independent code review with Fable 5.1 Extra High, including uncommitted changes in the current workspace. Receive the completed report verbatim, covering serious issues, suggested fixes, validation gaps, and readiness to merge into production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether changes are ready to merge into production
• Reviewing uncommitted work independently
• Identifying serious issues and gaps in validation

Deploy and manage NVIDIA RAG Blueprint, a system that retrieves information to support AI answers. Check the running environment, configure models and search features, troubleshoot unhealthy services, and verify affected workflows after changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy NVIDIA RAG Blueprint
• Configure search and document ingestion
• Change models or enable image features

Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.

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Configures environment variables for Power Pages site settings to support ALM across environments. Creates environment variable definitions in Dataverse, guides the user through linking site settings to those variables via the Power Pages Management app, adds the variables to the solution, and generates a deployment-settings.json file with per-stage override values. Use when asked to: "configure environment variables", "add env vars", "set up deployment variables", "make site settings environment-specific", "configure ALM variables", "set up env-specific settings", "add deployment settings", "configure per-environment settings".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert patterns for AnimationTree including StateMachine transitions, BlendSpace2D for directional movement, BlendTree for layered animations, root motion, transition conditions, advance expressions, and state machine sub-states. Use for complex character animation systems with movement blending and state management. Trigger keywords: AnimationTree, AnimationNodeStateMachine, BlendSpace2D, BlendSpace1D, BlendTree, transition_request, blend_position, advance_expression, AnimationNodeAdd2, AnimationNodeBlend2, root_motion.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert patterns for AnimationTree including StateMachine transitions, BlendSpace2D for directional movement, BlendTree for layered animations, root motion, transition conditions, advance expressions, and state machine sub-states. Use for complex character animation systems with movement blending and state management. Trigger keywords: AnimationTree, AnimationNodeStateMachine, BlendSpace2D, BlendSpace1D, BlendTree, transition_request, blend_position, advance_expression, AnimationNodeAdd2, AnimationNodeBlend2, root_motion.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Search and inspect the installed Blueish Blender Asset Library without mutating it. Use when a user asks for a local Blender asset, node preset, Blueish asset, Asset Browser entry, or named source, or when the Router has selected a node-centric/reusable Geometry Nodes, material, simulation, rigging, compositor, or NPR route with eligible local catalogs; return compatible, attributable candidates for the Router-approved workflow.

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Airtable is a hosted spreadsheet-database; its Web API reads and writes records, table schema, attachments and webhooks over REST. Use when tasks involve reading or writing Airtable data, importing or upserting rows from a CSV or another system, syncing external sources with Airtable bases, reacting to record changes with webhooks, connecting users through Airtable OAuth, or debugging 422 and 429 responses from api.airtable.com.

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TanStack Table best practices for building headless, type-safe data tables in React with sorting, filtering, pagination, row selection, and column management. Use when building data grids, implementing client-side or server-side table features, defining column structures, managing table state, or optimizing table rendering performance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up, format, fix, and clean up LaTeX regression and estimation tables in empirical economics or finance papers. Use when (a) creating a .tex, results.tex, main.tex, or preamble to display regression or estimation output from Python (pyfixest), Stata, or R — including any mention of estout, esttab, estauto, estwide, or table fragments; (b) formatting or repairing estout-style regression tables that overflow the right margin, have cramped or boxed notes, misaligned columns, or poor significance stars, or when asked to match a reference paper, make the note fill the table width, or choose among \estwide, \estauto, and landscape layouts; (c) diagnosing "Misplaced \omit" errors from \input-ed table fragments inside tabular environments. Covers \@@input, \estwide, \estauto, \estautoLT, \specialcell, \sym, minipage notes below tabulars, and the convert-and-verify workflow. Do NOT trigger for general LaTeX documents like beamer presentations, problem sets, letters, or CVs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ユーザーストーリーを Independent / Valuable / Small / Testable で点検し、満たさないストーリーを分割または再定義するための skill。要件定義完成直後 (ユーザーストーリーを書き終えた直後) に必ず発火させる。基本設計中や実装中に「このストーリー大きすぎる」「他のストーリーに依存している」「ユーザー価値が見えない」「受け入れテストが書けない」と気付いたタイミングでも発火させる。Small は『ユーザー価値を保ったまま分割可能な最小単位』として価値ベースで判定する (技術的なサイクル数ではない)。Negotiable は意図的に落とし (要件 / 設計フェーズで固める方針)、Estimable は暗黙 (固める方針なら自動で満たされる)。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize a single Jetpack Compose @Composable function. Use when the user wants to improve, polish, animate, or refactor ONE Composable — keywords like "optimize this composable", "make this smoother", "add animation to this", "split this composable", "fix recomposition", "this composable is laggy", "polish this UI", or when user pastes/points to a single @Composable function. Analyzes the target for recomposition issues, missing animations, size/concern splits, and stability problems, then iterates with the user via AskUserQuestion to pick which optimizations to apply, then delegates implementation to the kta-compose-developer agent and summarizes changes. Input MUST be exactly one Composable (file path + function name, or function name alone).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.