'ble' 검색 결과

Keep comparison answers readable in a terminal about 100 columns wide. Limits Markdown tables to four columns with short phrases, and switches to lists or per-item headings when the content needs longer explanations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Present concise comparisons in a narrow terminal
• Build readable mappings of flags and their effects
• Turn prose-heavy tables into lists

Implement reactive state reads and external control for Table v9 in Solid. Learn where to track changes, how to manage pagination state, and how to handle updater functions or shared state correctly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Control pagination with Solid signals
• Investigate table updates that do not appear on screen
• Share table state through external atoms

Manage TanStack Table v9 state in React, including controlled pagination and subscriptions that update the UI when state changes. It also guides narrower rendering boundaries and fixes for React Compiler memoized components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Control pagination with React state
• Fix table state changes that do not update the UI
• Limit which components rerender

Plan Table v9 state ownership across the table, framework state, and external atoms that hold values. Covers initial values, update callbacks, and reset behavior, helping coordinate individual state sections without conflicting owners.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing where to manage pagination state
• Connecting external state to update callbacks
• Reviewing external atom ownership

Migrate TanStack Table from v8 to v9 in React by reviewing table creation, state updates, rendering, and shared application hooks. Provides a React-specific checklist and verification steps alongside the required core migration guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrade a React table from v8 to v9
• Review state and rendering issues after migration
• Update shared table hooks and wrappers

Manage Table v9 state in Ember so table changes reach the screen. Covers tracked properties, external atoms that hold state, controlled updates, and where values must be read for Glimmer to track changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fixing page numbers that do not update on screen
• Managing pagination through tracked properties
• Sharing table state through external atoms

Connect TanStack Table instances to developer tools for inspecting options, state, features, columns, rows, and row models. Diagnose missing connections, assign unique table keys, and manage registration replacement and cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect table options, state, columns, and rows
• Diagnose tables missing from developer tools
• Assign distinct keys to multiple tables

Turn regression results and summary statistics from Stata, R, or Python into LaTeX tables for academic papers. Format model comparisons, decimal places, statistical significance markers, and notes, with guidance for wide tables and inclusion in a paper.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing several regression models in one table
• Formatting summary statistics for a paper
• Combining results into a table with multiple panels

Run empirical and causal analyses in Python with StatsPAI, from stating assumptions to estimating effects and checking how results change under alternative choices. Produce diagnostic figures, regression tables, and replication bundles for economics, public health, or machine learning studies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating policy or intervention effects
• Comparing public health effect estimates
• Examining how effects differ across groups

Build a reproducible Stata analysis from data cleaning through modeling, diagnostic checks, and robustness tests. Generate runnable .do files, regression tables, and figures for empirical papers, with additional workflows for epidemiology and machine learning approaches to causal inference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a reproducible Stata analysis pipeline
• Comparing regression specifications in a paper table
• Checking causal estimates with robustness tests

Enables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies publishing status, and queries the published logs via any Iceberg-compatible engine including Redshift and Athena. Covers system tables such as sys_query_history, sys_query_text, sys_connection_log, sys_query_detail, and sys_session_history. Applies when turning on S3 Tables log publishing for a cluster or namespace, confirming publishing status and locating the S3 Tables namespace, querying non-realtime data from Redshift system tables off-cluster at scale, or building dashboards for Redshift monitoring and auditing, especially for historical or high-volume system-table data beyond the in-cluster SYS_ view retention window. Trigger phrases: publish redshift system table log to s3 tables, enable-logging s3 tables, describe redshift logging status, query redshift system tables in athena or redshift, redshift log exports to iceberg.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. **Trigger when user asks to:** - Migrate or convert PostgreSQL tables to hypertables - Execute hypertable migration with minimal downtime - Plan blue-green migration for large tables - Validate hypertable migration success - Configure compression after migration **Prerequisites:** Tables already identified as candidates (use find-hypertable-candidates first if needed) **Keywords:** migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn a product brief into a working website or prototype in Lovable. Inspect existing project code, update pages and features, and publish changes through Lovable’s official MCP server, with separate permissions for editing and publishing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a website from a product brief
• Building a prototype to explore an idea
• Inspecting code in an existing Lovable project

Migrate TanStack Table from v8 to v9 in Preact using its native package. Reviews compatibility aliases, table setup, state subscriptions, and rendering, with verification steps to check the upgraded implementation alongside the required core migration guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrade a Preact table from v8 to v9
• Switch table imports to the native Preact package
• Review state and rendering issues after migration

Read and control Table v9 state in Preact, including pagination. Guides state subscriptions, which keep the interface updated, and externally managed state so table changes and controls stay synchronized while rerenders can be scoped to relevant values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Control pagination from Preact state
• Fix table values that fail to update on screen
• Limit rerenders to selected state

Connect Table v9 state to Alpine bindings and manage pagination from application code. Explains reactive reads, getter and callback setup, shared state atoms, and why some captured values fail to follow later updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Control pagination from Alpine state
• Display current table state in Alpine bindings
• Investigate stale values after state replacement

Read and control TanStack Table v9 state in Vue while keeping updates synchronized with the interface. Covers reactive reads, externally controlled state, update callbacks, shared state containers, and component boundaries for rendering.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Controlling pagination with Vue refs
• Displaying table state through computed values
• Investigating state synchronization failures

Build a Table v9 plugin when built-in settings and typed metadata are insufficient. Guides custom state, options, and methods, with initialization hooks and runtime checks to ensure declared APIs actually exist and reset correctly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add reusable custom table behavior
• Design plugin state and reset behavior
• Keep declared APIs consistent with runtime behavior

Build table data processing with TanStack Table v9 while keeping data and column definitions stable. The skill guides type inference, which determines types automatically, row identity, optional features, and checks for missing APIs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up the foundation for table data processing
• Troubleshoot column type inference
• Investigate missing APIs or optional features

Review Handsontable code changes for architecture, code quality, performance, accessibility, and test coverage. Findings include severity, confidence, and file locations, helping developers assess whether changes follow project rules and demonstrate the intended behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a Handsontable branch or pull request
• Check architecture before or during core changes
• Review keyboard access and performance concerns

Assess Bluetooth Low Energy devices by inspecting exposed data and commands, pairing methods, captured traffic, and companion apps. The skill provides a testing workflow for identifying authentication gaps and weaknesses in device communication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing BLE authentication in smart locks
• Checking data access on fitness trackers
• Reviewing pairing security

Understand how Airtable organizes data into bases, tables, fields, and records. Learn how views, automations, and interfaces relate to that structure, giving you context for discussing data organization and workflows with an agent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning Airtable's basic data structure
• Understanding views and interfaces
• Reviewing how automations work

Build stablecoin transfers where the amount sent equals the amount received using LI.FI Intents. The skill covers quotes, token approval, escrow deposits, and order tracking for transfers within or across supported blockchains.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a stablecoin swap interface with equal input and output amounts
• Adding cross-chain USDC or USDT transfers
• Implementing quotes, approvals, and escrow orders in a backend

Build a Python workflow for empirical research, from data cleaning and statistical checks to estimation, robustness checks, and paper-ready tables and figures. Economics is the default, with additional modes for epidemiology, public health, and machine learning for causal inference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an end-to-end empirical analysis workflow in Python
• Replicating an applied economics paper
• Producing regression tables and event-study plots