「primary」の検索結果

Bevy ECS skill for desktop windows. Keywords: Bevy, window, desktop, WindowPlugin, PrimaryWindow, winit.

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。

When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' or 'ad performance optimization.' This skill covers generating ad creative at scale, iterating based on performance data, and enforcing platform character limits. For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.

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。

Draft, audit, or minimally revise English- or Chinese-language academic prose to reduce formulaic, vacuous, mechanically repetitive, or process-leaking language while preserving claims, evidence strength, logical relations, manuscript-wide terminology identity, document-level pattern variation, and scholarly register. Use for papers, abstracts, grants, cover letters, and reviewer responses when the user asks to de-AI, humanize, audit AI-like phrasing, or rewrite text without changing meaning. English is primary; Chinese is supported. Not for detector evasion, policy circumvention, pure translation, non-academic copy, or adding facts, citations, examples, or author experiences that the source does not contain.

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。

Build and run a full email marketing channel — list building, deliverability, segmentation, newsletter strategy, campaign types, A/B testing, and email design. Use when the user says "email marketing", "email strategy", "email list", "newsletter", "email campaigns", "email list building", "email deliverability", "email open rates", "email segmentation", "email design", "email calendar", "grow my email list", "email marketing plan", "broadcast emails", "email engagement", or wants to use email as a primary owned marketing channel beyond just automated flows.

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。

What to do when a tool fails, an API hits a rate limit, or a site blocks scraping. Maps every primary tool to its best fallback so a single failure doesn't block the search.

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。

Real-time GDS flight search via Duffel API. Accurate per-fare-class pricing, cabin selection, multi-city, time preferences. Primary cash price source. Does not include Southwest.

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。

Design taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave

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 a VALID experiment instead of a guess — hypothesis, one variable, sample size and runtime math, statistical significance, primary versus secondary metrics, multi-arm designs, and a results template, across Optimizely, VWO, and native Meta and Google tests. Trigger on 'A/B test', 'split test', 'how long should I run the test', 'is this result significant', 'test two versions', 'which creative is actually better'. Also use when a winner was declared after two days on tiny numbers. Not for — scaling the proven winner, see `55-scaling-ads-global`; analyzing data already collected, see `13-data-analysis-global`; auditing the account, see `21-ads-audit-global`.

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 needs PAID ad copy for Meta, Google, or TikTok — six variants across TOFU, MOFU, and BOFU using AIDA, PAS, and BAB, respecting each platform character limit and ad policy, with a dropshipping mode. Trigger on 'ad copy', 'write Facebook ads', 'TikTok ad copy', 'Google RSA headlines', 'primary text for this ad', 'my ad copy is not converting'. Also use when the user has a product page and asks what to run as an ad. Not for — organic social captions, see `37-social-caption-global`; spoken video lines, see `04-script-video-global`; approving copy already written, see `62-marketing-review-global`; the page the ad points at, see `12-landing-page-brief-global`.

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。

Weekdays, browser only when a source refuses to be fetched. Works the single card the standup marked next: reads the shared publishing standard and the card's specification, pulls the live result set for the primary keyword, reads the pages currently ranking, writes the body, the metadata, the internal links and the outbound authority links, generates and compresses a hero, and leaves a complete draft folder with one ready line. It never opens a publishing surface, never touches a live property, and never touches a credential.

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。

Weekdays. The only routine in this kit that opens a screen inside an account that can spend, and everything it does there is read. It confirms the primary conversion event still fired inside the read window before it trusts any other figure, then reads yesterday's spend, delivery, and result rows at account, campaign, ad set, and creative level and appends one row per object per day to the daily metrics ledger with the screen, the date range, and the read date beside every figure. It creates nothing, saves nothing, activates nothing, and spends nothing, unless you released the channel.

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。

Investigate questions using high-trust primary sources and traceable citations. Use when the user asks for research, current documentation or API facts, source verification, or evidence-backed comparison.

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。

Design bounded bot specifications with clear purpose, examples, output contracts and error handling. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.

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。

Resolve iOS and Android differences using Platform API and native modules in React Native. Use when platform branching or native-module integration is the primary task; defer cross-platform feature implementation such as push notifications.

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。

Implement screen routes and deep-link/App Link routing with Jetpack Compose Navigation on Android. Use when the primary task is Compose route configuration or external URL routing; defer typed-route APIs, XML/fragments, generic back-stack, and transition questions to their specific navigation skills.

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。

Implement Room schemas and DataStore preferences with proper async patterns in Android. Use when the primary task is storage schema, DAO, migration, or preference isolation; defer auth-token/security storage, any CoroutineWorker/WorkManager task, Hilt graph wiring, and cache-policy design.

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。

Researches archives, contemporary accounts, and timeline reconstruction. Use when the album subject involves historical events that need primary source verification.

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。

Researches the subject's own words from tweets, blogs, forums, and chat logs. Use when research needs direct quotes or first-person accounts.

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。

Searches and retrieves documents from free public sources using automated browser navigation. Use when research needs primary source documents like court filings, government reports, or public records.

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。

Conducts investigative-grade research with primary source analysis, cross-verification, and trial-level depth. Use when an album needs factual research, source material, or verification of claims.

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。

Graph database implementation for relationship-heavy data models. Use when building social networks, recommendation engines, knowledge graphs, or fraud detection. Covers Neo4j (primary), ArangoDB, Amazon Neptune, Cypher query patterns, and graph data modeling.

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。

Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.

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。

Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.

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。

Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).

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。