「table」の検索結果

Deprecated compatibility entry for Table of Contents construction. This component is now maintained in Bricks; install and use component-builder to build a new Table of Contents.

日本語の概要は準備中です。原文の説明を表示しています。

Rebuild or restyle editable Microsoft Visio diagrams from reference images and existing .vsdx files, then export deliverables as .vsdx, PNG, SVG, PDF, or PPTX. Use when the user asks Codex to open Visio, recreate a diagram from a PNG/JPG/screenshot/reference image, match a scientific model figure, update colors/typography/layout in a .vsdx, calibrate panel coordinates to avoid shifted or overlapping submodules, or make publication/presentation outputs while preserving Visio native editable shapes rather than embedding the reference image as a flat picture.

日本語の概要は準備中です。原文の説明を表示しています。

Creates Dataverse tables, columns, and relationships for a Power Pages site based on a data model proposal. Use when the user wants to set up the data model, create database tables, or build the Dataverse schema for their site.

日本語の概要は準備中です。原文の説明を表示しています。

Audits existing table permissions on a Power Pages site by analyzing them against site code and Dataverse metadata, then GRADES the configuration with deterministic 1–5 scores across 3 security/usability/correctness categories (9 dimensions). Detection is anchored by a recurring-issue catalog so findings and severities stay consistent run-to-run. Generates an HTML report with an at-a-glance verdict and per-category scores in the Overview plus a single list of **major/minor** issues (each major issue labelled permissions-only or upstream-caused with a short justification), and suggested fixes. Use when the user wants to review, verify, check, score, or grade table permissions for security issues.

日本語の概要は準備中です。原文の説明を表示しています。

Populates Dataverse tables with sample records for testing and demoing a Power Pages site. Use when the user wants to add sample data, seed data, generate test records, or insert demo data into their tables.

日本語の概要は準備中です。原文の説明を表示しています。

Internal mobile-app workflow read and executed only by mobile orchestrators to add one Dataverse table to an existing Mobile Offline Profile.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user wants to seed Dataverse tables with realistic sample records so a freshly-scaffolded code app shows real-looking data on first launch. Generates contextually appropriate rows from each table's schema and inserts them in dependency order. Mirrors microsoft/power-platform-skills/power-pages/add-sample-data, adapted for mobile apps.

日本語の概要は準備中です。原文の説明を表示しています。

Internal mobile-app workflow read and executed only by /setup-offline-profile to enable Dataverse table prerequisites for a Mobile Offline Profile.

日本語の概要は準備中です。原文の説明を表示しています。

Builds and edits a model-driven Power Apps app from a natural-language intent — tables, columns, relationships, adaptive forms with sub-grids, views, Choice-column charts, business rules, business process flows, generative page intents for overview/dashboard surfaces (page `.tsx` generated in generate-pages after plan approval), and an app module + sitemap — via the headless cds-maker-sdk. Runs an interactive, multi-turn authoring flow (env selection, jobs-to-be-done first, then design-only App Spec authoring across confirmed levels, guardrail lint, plan-mode approval, generate-pages, full build) and a narrated build, and can download a deployed app back into an editable spec to change it. Use when the user says "build an app for X", "create a model-driven app", "make me an app to manage Y", "add a business process flow", or "edit/add to my app". This skill stands alone and does not require /genpage — but for a standalone generative page added to an app that already exists, use /genpage instead.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user wants to add Dataverse tables (existing or new) to a Power Apps mobile app, extend an existing Dataverse table with new columns, or apply an approved data model plan.

日本語の概要は準備中です。原文の説明を表示しています。

Use when structuring Unity 6.3 C# code: ScriptableObject data vs runtime state, events and services, inventory, health, save and load, Input System actions and key rebinding, async with Awaitable, assembly definitions, Enter Play Mode and domain reload, .meta files, Git, Smart Merge and LFS. Also when 'my save works in the Editor but not in the build', statics keep values on the second Play, events fire twice or never, an await runs after its object died, rebinds are lost on relaunch, a renamed class loses its data, a scene merge breaks.

日本語の概要は準備中です。原文の説明を表示しています。

Convert authored markdown into a polished self-contained HTML document with a table of contents, numbered figures and tables, cross-references, footnotes, and print-ready CSS. Use when publishing a report, whitepaper, or memo.

日本語の概要は準備中です。原文の説明を表示しています。

A heart/favorite icon that animates on toggle — Lottie JSON, portable across web & app. A Lottie (JSON) animation — portable motion that plays identically on web and app via lottie-web. Honors prefers-reduced-motion (don't autoplay). Reserve Lottie for motion that earns its ~160KB runtime.

日本語の概要は準備中です。原文の説明を表示しています。

After the learner demonstrates understanding of a concept, present near-transfer and far-transfer challenges. Use to test whether learning is portable or task-specific — this is what separates understanding from familiarity.

日本語の概要は準備中です。原文の説明を表示しています。

Expert patterns for game economies including currency management (multi-currency, wallet system), shop systems (buy/sell prices, stock limits), dynamic pricing (supply/demand), loot tables (weighted drops, rarity tiers), and economic balance (inflation control, currency sinks). Use for RPGs, trading games, or resource management systems. Trigger keywords: EconomyManager, currency, shop_item, loot_table, dynamic_pricing, buy_sell_spread, currency_sink, inflation, item_rarity.

日本語の概要は準備中です。原文の説明を表示しています。

Data-driven resource harvesting (mining, logging, foraging) for Godot 4: apply_hit tool/tier validation via HarvestToolData enums, HarvestResourceData yields, harvestable_node shake/deplete, respawn_manager world persistence, UNIX offline progress, autosave, and noise vein proc-gen. Trigger keywords: apply_hit, HarvestResourceData, HarvestToolData, offline UNIX, respawn_manager, tool tier, harvestable_node, FastNoiseLite veins.

日本語の概要は準備中です。原文の説明を表示しています。

Data-driven resource harvesting (mining, logging, foraging) for Godot 4: apply_hit tool/tier validation via HarvestToolData enums, HarvestResourceData yields, harvestable_node shake/deplete, respawn_manager world persistence, UNIX offline progress, autosave, and noise vein proc-gen. Trigger keywords: apply_hit, HarvestResourceData, HarvestToolData, offline UNIX, respawn_manager, tool tier, harvestable_node, FastNoiseLite veins.

日本語の概要は準備中です。原文の説明を表示しています。

Expert patterns for game economies including currency management (multi-currency, wallet system), shop systems (buy/sell prices, stock limits), dynamic pricing (supply/demand), loot tables (weighted drops, rarity tiers), and economic balance (inflation control, currency sinks). Use for RPGs, trading games, or resource management systems. Trigger keywords: EconomyManager, currency, shop_item, loot_table, dynamic_pricing, buy_sell_spread, currency_sink, inflation, item_rarity.

日本語の概要は準備中です。原文の説明を表示しています。

ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).

日本語の概要は準備中です。原文の説明を表示しています。

This is an R package for interfacing with the BIOM format. This package includes basic tools for reading biom-format files, accessing and subsetting data tables from a biom object (which is more complex than a single table), as well as limi

日本語の概要は準備中です。原文の説明を表示しています。

Expert knowledge for Azure Queue Storage development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring queue auth/encryption, monitoring metrics/logs, handling limits, or coding with Azure Queue SDKs, and other Azure Queue Storage related development tasks. Not for Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs), Azure Table Storage (use azure-table-storage).

日本語の概要は準備中です。原文の説明を表示しています。

Expert knowledge for Azure DocumentDB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Mongo-compatible APIs, vector search, cross-region replication, change streams, or the HTTPS Data API, and other Azure DocumentDB related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance).

日本語の概要は準備中です。原文の説明を表示しています。

Expert knowledge for Azure Horizondb development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when tuning pgvector, azure_ai SQL functions, LangChain vector stores, Apache AGE graphs, or hybrid search, and other Azure Horizondb related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure SQL Database (use azure-sql-database), Azure Table Storage (use azure-table-storage).

日本語の概要は準備中です。原文の説明を表示しています。

Expert knowledge for Azure Cosmos DB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using NoSQL/Mongo/Cassandra APIs, change feed, multi-region HA, vector search, or Cosmos DB for PostgreSQL, and other Azure Cosmos DB related development tasks. Not for Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), Azure Data Explorer (use azure-data-explorer).

日本語の概要は準備中です。原文の説明を表示しています。