Results for “table”

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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Generate publication-ready statistical tables using gt, kableExtra, or flextable. Covers descriptive statistics, regression results, ANOVA tables, correlation matrices, and APA formatting. Use when creating descriptive statistics tables, formatting regression or ANOVA output, building correlation matrices, producing APA-style tables for academic papers, or generating tables for Quarto and R Markdown documents.

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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.

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Batch-dump vtables from IDA Pro MCP by searching mangled symbol patterns, then write a merged YAML file beside the binary. Use this skill when you need to find and export all vtables matching a name pattern (e.g., all GameSystem vtables) in one shot. Triggers: dump vtables, batch vtable dump, export vtables, dump all vtables matching pattern

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Find restaurants on OpenTable by city, cuisine, and price, check live availability for a date and party size, and make reservations. You can also look up, change, or cancel accessible bookings using their confirmation IDs.

• Find restaurants with availability for a chosen date and party size
• Change or cancel an accessible reservation
• Find and book a restaurant experience

Track USDT, USDC, and other stablecoins to assess capital entering or leaving crypto markets. Combine supply changes, issuance and redemption, exchange balances, transfer activity, and movements between blockchains into a structured liquidity report.

• Review USDT and USDC issuance and redemption
• Assess changes in stablecoin balances on exchanges
• Compare stablecoin flows across blockchains

Guides Node.js scripts and shared modules in the Handsontable monorepo using .mjs files, native APIs, and asynchronous file operations. It covers task registration, error handling, and compatibility across Linux, macOS, and Windows.

• Create build scripts and shared Node.js modules
• Replace shell commands with cross-platform Node.js code
• Register tasks and dependencies in tasks.json

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.

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

Review BigQuery capacity, table layouts, storage retention, and SQL to improve cost efficiency. Compare billing options, plan partitioned tables, and evaluate search indexes, stored aggregation results, and BI Engine for suitable workloads.

• Compare On-Demand pricing with Editions
• Review storage billing models and retention periods
• Design table partitioning and clustering

Search human genes by name or keyword through Clinical Tables and get concise results with gene IDs, symbols, and descriptions. Select the fields to display and browse results in small pages for autocomplete-style lookup.

• Look up a human gene by symbol
• Review gene candidates matching a keyword
• Choose fields for gene search results

Find Airtable records by combining conditions such as assignee, date, number, or attachment type. The skill guides the agent in choosing comparisons that match each field type and building a single filter for the requested records.

• Find records by assignee and status
• List records dated within the past week
• Find records with image attachments

Turn research results into figures and tables for papers using pubfig and pubtab. Choose an appropriate presentation, convert Excel tables to LaTeX, export assets, and check readability, labels, and consistency before submission.

• Choosing a chart that communicates research findings
• Converting an Excel table to LaTeX for a paper
• Preparing a summary figure with a companion table

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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Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. **Trigger when user asks to:** - Explore an existing PostgreSQL database to understand its objects and relationships - Design or modify PostgreSQL tables, schemas, or data models - Choose data types, constraints, indexes, or partitioning strategies - Work with pgvector embeddings, semantic search, or RAG - Set up full-text search, hybrid search, or BM25 ranking - Use PostGIS for spatial/geographic data - Set up TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates - Plan or execute safe schema migrations with zero downtime **Keywords:** PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series, migration

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Citable builds an interactive cite-checking table for US court filings (briefs, memoranda, petitions, declarations, etc.). Every citation links to its pinpoint location in the record exhibit, the case (CourtListener), the statute (Cornell LII) or the treaty (flagged where one cannot be located), with a status and a note field per citation for the reviewer to fill. When the filing is revised, citable rebuilds the table, flags citation-related changes and carries the saved review forward. Use when the user asks to cite-check, build a citation table, link a brief's citations, or update a table for a revised draft.

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Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables

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Airtable Automation via Rube MCP workflow skill. Use this skill when the user needs Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Airtable Automation via Rube MCP workflow skill. Use this skill when the user needs Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Retiring a dead table by moving it to the deprecated schema and clearing every reference in both repos. Use when asked to deprecate or retire a table, when a table is no longer used, or to take a table offline without dropping it. NOT for relocating a still-used table (use db-move-table-schema).

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Manage preparation, publication, recovery, and verification of OpenClaw beta, stable, and extended-stable releases. Track approved fixes carried into older release branches, required validation evidence, publication scope, and follow-up work through completion.

• Prepare an OpenClaw beta or stable release
• Carry approved fixes into extended-stable releases
• Recover an interrupted publication

Run ComfyUI workflows to generate images, video, audio, and 3D content. Prepare models and processing nodes, adjust generation settings, create batches of variations, monitor progress, and download results from a local server or Comfy Cloud.

• Generate images from text with Stable Diffusion or Flux
• Transform an image or replace a selected area
• Create batches with different generation settings

Plan and explain Lakehouse solutions in Microsoft Fabric, a place to manage tables and files together. Understand data organization, links to data without copying, access controls, and table maintenance options for designing and improving a solution.

• Writing an introduction to Fabric Lakehouse
• Planning how to organize tables and files
• Reviewing data links and access controls

Build image generation workflows in Python with Stable Diffusion and HuggingFace Diffusers. The guide covers text prompts, transforming existing images, replacing selected regions, controlling composition, applying learned styles, and adjusting memory use during generation.

• Generating images from text descriptions
• Changing the style of an existing image
• Replacing a selected region of an image

Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.

• Learn how to install and use TimescaleDB
• Design tables for time-series and event data
• Implement time-bucket and continuous aggregates