'tables' 검색 결과

Design PostgreSQL tables around actual queries and data volumes. Choose data types, validation rules, and indexes, then plan large table partitioning, access rules for individual rows, and schema changes with migration and rollback considerations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing tables for users, orders, and related data
• Reviewing data types, constraints, and indexes
• Planning large tables and frequent update workloads

Create, inspect, and update Excel workbooks, including CSV imports, formulas, charts, and pivot tables that summarize data. Build budgets, dashboards, or trackers with readable formatting, input validation, and checks for formula errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting CSV or TSV data into formatted Excel workbooks
• Building budgets and forecasts with adjustable assumptions
• Creating dashboards with charts and pivot tables

Add a read-only web dashboard for browsing NanoClaw agents, sessions, and other resources. It builds tables from command-line JSON output and includes message activity charts, recent logs, and a viewer for skills, profiles, and CLAUDE.md files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check agent and session status in a browser
• Review message counts and daily activity
• Read recent host logs

Create and render Table v9 tables in Svelte 5. Covers basic setup and directs work on reusable components, TanStack Query data integration, and TanStack Virtual rendering, which limits displayed rows or columns for large tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a basic Table v9 table in Svelte 5
• Organize reusable table components
• Connect tables to TanStack Query data

Connect Preact Table v9 to Devtools, a development inspection interface. This skill guides package selection, unique table keys, registration settings, and development-only behavior to help diagnose tables that do not appear.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting Preact tables to Devtools
• Diagnosing missing table targets
• Checking duplicate keys across tables

Build and render tables with React Table v9, with guidance on stable data and column definitions. Find task-specific references for reusable components, Query data fetching, and virtualization, which limits rendering to visible rows or columns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a basic React table
• Organizing reusable table components
• Connecting tables to Query data

Build and render TanStack Table v9 tables in Alpine, with data updates reflected in the interface. Covers table setup, Alpine markup, cell rendering, and guidance for sharing defaults and reusable UI across tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a basic table in Alpine
• Reflecting replaced data arrays in a table
• Adding buttons and inputs to table markup

Build Table v9 tables in Angular using injectTable and FlexRender. Guidance covers signal-driven data updates, reusable table components, and connections to TanStack Query for data fetching and TanStack Virtual for displaying large tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a Table v9 table in Angular
• Reflecting signal-driven data changes in tables
• Sharing table settings and reusable UI components

Build and render Table v9 tables in Vue with guidance on keeping data updates reactive, reusing shared table components, and connecting TanStack Query for data fetching or TanStack Virtual for displaying large tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a Table v9 table in Vue
• Keeping tables in sync with changing data
• Reusing shared table components and settings

Create and render TanStack Table v9 tables in Ember using tracked data and dedicated rendering components. Covers table construction, template access, lifecycle cleanup, and guidance for reusing defaults and UI across tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a basic table in Ember
• Connecting tracked data updates to a table
• Rendering cells and headers in templates

Display Markdown plans, documentation, and notes in a formatted cmux panel beside the terminal. The viewer automatically refreshes when the file changes and renders headings, code blocks, tables, lists, links, and inline images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keep an agent's plan beside the terminal
• Review documentation or changelogs while working
• Watch notes updated by another process

Inspect database connections and table structures configured in DBX, run read-only queries with row and time limits, and generate schema documentation or DBML, a text format for describing database structures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore tables and columns in a DBX database
• Check data with bounded read-only queries
• Generate database structure documentation

Assess how changes, failures, or paused updates to a BigQuery table or view affect downstream assets. Trace data lineage, the relationships showing where data flows, and summarize dependent tables, dashboards, and processes with direct and indirect impacts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess downstream effects of a table failure
• Check dependencies before changing or deleting a view
• Evaluate the impact of pausing data updates

Create and work with Google Bigtable instances and tables, design row keys and column groups, and query data with SQL or client libraries. Investigate slow queries and concentrated access patterns using Key Visualizer and command-line diagnostics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing row keys and column families
• Creating Bigtable instances and tables
• Writing SQL queries or data access code

Create and edit spreadsheets for budgets and editable tables, including targeted cell updates and added records. Save in ODS by default, or use XLSX when Excel compatibility or supported embedded charts are needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a budget spreadsheet
• Turning CSV or Markdown tables into spreadsheet cells
• Updating cells or adding records to an existing workbook

Create paper figures and LaTeX comparison tables from experiment data in JSON or CSV files. Save reproducible plotting scripts, use consistent styling, and check rendered figures for readability, fair comparisons, and captions supported by the data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plotting training curves
• Comparing methods and ablation results
• Combining results across datasets into multiple panels

Create consistent paper figures and comparison tables from experiment data. The skill selects suitable chart types, saves reusable plotting scripts, prepares LaTeX insertion code, and checks rendered figures for readability and comparisons for consistency with the underlying data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plot training curves from experiment results
• Create method comparison and ablation tables
• Combine results across datasets into multi-panel figures

Read, create, and organize PDF files, including merging documents, splitting pages, extracting tables, and filling forms. It also covers password protection and OCR, which recognizes text in scanned pages for extraction or search.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Merge PDFs or split out selected pages
• Extract PDF text and tables for reuse
• Recognize text in scanned documents

Clean, combine, summarize, and reshape tabular data with pandas DataFrames, Python's table-like data structures. Produces transformation code and validation checks, including time series processing and memory-conscious approaches for large datasets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill missing values and correct data types
• Combine tables using multiple matching columns
• Create grouped summaries and pivot tables

Extract text, tables, and images from PDFs, or create and modify PDF documents. Covers merging, splitting, rotation, watermarks, password protection, page rendering, and OCR, which turns scanned page images into text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract PDF tables into an Excel file
• Merge documents or split selected pages
• Read text from scanned PDFs

Maintain data retention in ClawHub's Convex tables by classifying each table, defining expiration fields, and bounding cleanup jobs. Guide changes to temporary data and expired authentication records, with focused tests and runtime verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify retention policies for new tables
• Add expiration fields and indexed cleanup
• Update scheduled jobs with bounded deletion batches

Build reusable Convex backend components with their own database tables and a small API, the functions an app calls. It guides component structure, app integration, authentication boundaries, and checks for generated code and type errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a local component to an existing Convex app
• Extracting reusable backend logic
• Building an integration with its own tables

Extract text from images and PDFs, including handwriting, tables, invoices, and receipts. Return plain text, Markdown tables, or structured JSON fields, with options to select a recognition provider and specific PDF pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text from scanned documents
• Convert table images into Markdown
• Extract invoice and receipt fields as JSON

Generate PDF checklists, reports, and assessments with sections, tables, and scoring criteria using Python. Choose a suitable library, save the document for download, and check the output, with shell execution as an alternative when the sandbox fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a checklist into a PDF with sections and tables
• Create an assessment report with criteria and scores
• Produce PDF reports containing charts