「building」の検索結果

Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook, implementing a search/filter, or any other hands-on coding task. This is the default skill for all 'build this', 'add this', 'create this', 'wire up', 'implement' requests. Covers the full cycle: clarify requirements, plan if needed, write code, verify, and review. Do NOT use for pure research, debugging, documentation, or explanation — only when the user wants working code delivered.

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A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

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DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.

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Use when building or extending a Rust service - axum on tokio (or the repository's actix-web / rocket), typed errors with IntoResponse, serde at the boundary, sqlx queries and migrations, never blocking the runtime, tracing, clippy

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Use when building or extending a TypeScript service on Node.js - Fastify, NestJS, Express or Hono, runtime validation at the boundary, strict types, the repository's ORM and migrations, async error handling, graceful shutdown

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Use when building or extending a C# service on ASP.NET Core - Minimal APIs or controllers, DI and options, EF Core with Npgsql, ProblemDetails, HttpClientFactory resilience, async and cancellation

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Use when building a 3D web game with three.js, Babylon.js or PlayCanvas - render loop and delta per library, fixed-step physics with Rapier or Havok, explicit dispose of GPU resources, instancing and draw-call budgets, glTF with Draco/meshopt/KTX2, pixel ratio and resize, WebGPU opt-in, React Three Fiber notes, and headless testing.

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Use when building a 2D web game with Phaser (3.x/4.x) or PixiJS 8 in TypeScript - framework vs renderer, Phaser scenes/game objects/arcade physics/groups as pools/scale manager/loader, scene shutdown cleanup, PixiJS 8 async init, Assets bundles, ticker units and destroy, and keeping rules in plain TS modules.

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Use when building or changing features, preprocessing, encoders, resampling or train/validation/test splits — keep every fitted transform inside a Pipeline fitted on training folds only, and build time and group features without seeing the future or the same entity twice

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Use when you meet a new dataset, table, file or source, before building features or a model on it, or when a number looks wrong — profile grain, keys, nulls, cardinality, time coverage and target balance, and persist what you learn as code

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Use when building cases for any input, form, endpoint or state change - boundary values, invalid and hostile data, authz and concurrency cases with a worked example

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Use when the mobile repository has no theme tokens or component library yet (a new app, an "Apply design system" task, or a task that asks for one), before building any screen - writes the approved design system's generated files from get_design_system (files true) and builds the theme from them when there is one.

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 designing or building any mobile screen or component a user sees (Flutter, SwiftUI or Compose) - platform conventions, hierarchy, type that scales, colour roles and dark mode, safe areas and insets, forms and keyboard, states, feedback, and the generic-mobile anti-patterns.

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Use when building or changing any interactive mobile UI - VoiceOver/TalkBack labels, grouping, headings, focus order, Dynamic Type/font scale, reduce motion, contrast, and the automated check for each stack.

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Use when building native iOS with SwiftUI - small composable views, observable state models, atomic components, Swift 6.2+ concurrency, and system styling over hardcoded values

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Use when building or extending a Java service with Quarkus - layered architecture, JAX-RS resources, CDI beans, Panache persistence, and native-friendly patterns

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Use when the repository has no design system yet (no tokens, no component library - a new site/app, an "Apply design system" task, or a task that asks for one), before building any page section - writes the approved design system's generated files from get_design_system (files true) and builds the tokens on them when there is one.

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 designing or building any screen, section or component that a user sees — visual hierarchy, typography, colour, spacing, states, forms and how to avoid the generic AI look.

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 building Flutter screens - compose small stateless widgets, keep layout declarative, decide layout by available width not device/orientation, separate presentation from business logic, and use the theme not hardcoded styles

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 building native Android with Jetpack Compose - stateless composables, state hoisting, ViewModel-owned state, edge-to-edge, predictive back, adaptive layout, atomic components, and Material theming over hardcoded values

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Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. Use when chunking PDFs, HTML, plain text, or Markdown; extracting entities and relationships from text with an LLM (SimpleKGPipeline, neo4j-graphrag); loading JSON via apoc.load.json; building Document→Chunk→Entity graph structures; or connecting LangChain/LlamaIndex document loaders to Neo4j. Covers neo4j-graphrag SimpleKGPipeline, LLM Graph Builder web UI, entity resolution, chunking strategies, and graph schema design for RAG pipelines. Does NOT handle structured CSV/relational import — use neo4j-import-skill. Does NOT handle GraphRAG retrieval after ingestion — use neo4j-graphrag-skill. Does NOT handle vector index creation — use neo4j-vector-search-skill.

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Use when building Spring Boot applications with Neo4j using Spring Data Neo4j (SDN 7.x/8.x) — @Node entity mapping, @Relationship, @RelationshipProperties, Neo4jRepository, ReactiveNeo4jRepository, @Query annotations, application.yml configuration, projections, Neo4jClient, Neo4jTemplate, transactions, auditing, or Spring AI Neo4jVectorStore vector search. Does NOT handle raw Java driver code without Spring — use neo4j-driver-java-skill. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle driver version upgrades — use neo4j-migration-skill.

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Orchestrates zero-to-running-app in 8 stages — prerequisites → context → provision → model → load → explore → query → build. Each stage reads its own reference file. Supports HITL and fully autonomous operation. Use when starting a new Neo4j project from scratch, provisioning Aura, generating synthetic data, building a notebook or app, or running the full onboarding pipeline. Time budget ≤15 min autonomous, ≤90 min HITL. Does NOT cover Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades or Cypher migration — use neo4j-migration-skill. Does NOT cover CLI/admin tasks on an existing DB — use neo4j-cli-tools-skill.

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。

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

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。