「bun」の検索結果

Use for bun:sqlite, SQLite operations, prepared statements, transactions, and queries.

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。

TanStack Start full-stack React framework with Bun runtime. Use for TanStack Router, server functions, vinxi, or encountering SSR, build, preset errors.

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 server-rendered React with Bun, including streaming SSR, hydration, renderToString, or custom SSR without a framework.

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 migrating from Jest to Bun's test runner, import compatibility, mocks, and config.

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 implementing hot reloading with Bun (--hot, --watch), HMR, or automatic code reloading during development. Covers watch mode, hot mode, and HTTP server reload.

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 for Web Workers in Bun, worker_threads, parallel processing, and background tasks.

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 for bun:test syntax, assertions, describe/it, test.skip/only/each, and basic 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。

Use when working with Redis in Bun (ioredis, Upstash), caching, pub/sub, session storage, or key-value operations.

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 for test coverage with Bun, --coverage flag, lcov reports, thresholds, and CI integration.

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 for mock functions in Bun tests, spyOn, mock.module, implementations, and test doubles.

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 HTTP servers with Bun.serve, handling requests/responses, implementing routing, creating REST APIs, or configuring fetch handlers.

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 APIs with Hono framework on Bun, including routing, middleware, REST APIs, context handling, or web framework features.

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 integrating Drizzle ORM with Bun's SQLite driver for type-safe schema definitions and migrations.

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。

Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.

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。

Semi-automated fact-checking, source credibility evaluation, misinformation detection, prebunking, and evidence-ledger based claim verification. Use when a user asks to verify a claim, article, social post, screenshot, URL, quote, data point, compare sources, detect manipulation, evaluate source reliability, or generate an HTML fact-check card/share-safe correction. Supports text, URLs, screenshots/images, two-source comparison, and topic-level prebunking in Bulgarian, English, Russian, EU policy, health, science, and geopolitical contexts. Trigger phrases: "is this true?", "is this fake?", "fact check this", "compare these sources", "проверка на факти", "истина ли е", "дезинформация ли е", "сравни тези източници".

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。

Classify product approach into one of six types (Clone, Unbundle, Undercut, Slice, Wrapper, Innovation) based on competitive landscape. Triggers on PRD v0.2 work after competitive analysis, or when user asks "what type of product should we build?", "should we clone or innovate?", "is this a fast-follow opportunity?", "how should we position against competitors?", "clone vs undercut", "unbundle vs slice", or requests help choosing product strategy. Outputs BR- entries for product type classification and inherited GTM constraints.

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。

Keeping codebases healthy, performant, and maintainable - refactoring, performance optimization, and technical debt managementUse when "refactor, optimize, performance, technical debt, cleanup, architecture, speed up, bundle size, memory leak, slow query, code smell, complexity, dead code, performance, refactoring, optimization, technical-debt, architecture, cleanup, bundle, memory" mentioned.

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。

Comprehensive expertise in ERC-4337 account abstraction, smart contract wallets, paymasters, bundlers, and user operation handling. Covers social recovery, session keys, gas sponsorship, and wallet SDKs. Use when "account abstraction, ERC-4337, smart wallet, paymaster, bundler, user operation, gasless transaction, session keys, social recovery, smart account, " mentioned.

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 adding, organizing, registering, or loading non-code files (images, audio, video) in a Pixi'VN project — local assets processed by PixiJS AssetPack vs. online/remote-hosted assets, the AssetsManifest/bundle/alias system, where to edit the manifest for each case, and when to load bundles (at startup, in the background, per-label, per-route). Load this before writing any code that references an image/sound/video path directly, or before adding entries to a manifest.

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。

Performance profiling and optimization for web apps — Core Web Vitals (LCP, INP, CLS), Lighthouse audits, bundle analysis, backend profiling (CPU, memory, DB queries), N+1 detection, caching strategies (Redis, CDN, HTTP), and performance budgets. Use when user asks to improve performance, run Lighthouse audit, profile a Node.js app, optimize Core Web Vitals, reduce bundle size, or investigate slow response times. Do NOT use for database schema optimization (use db-sculptor), Docker image optimization (use docker), or CDN configuration.

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。

Analyze Riffrec feedback captures from bundles or standalone recordings. Always load for `riffrec-*.zip`, `session.json` + `events.json` + `recording.webm` + `voice.webm` bundles, `.mp4`/`.mov`/`.webm` videos, `.m4a`/`.mp3`/`.wav` audio, or capture/share requests.

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。

Semi-automated fact-checking, source credibility evaluation, misinformation detection, prebunking, and evidence-ledger based claim verification. Use when a user asks to verify a claim, article, social post, screenshot, URL, quote, data point, compare sources, detect manipulation, evaluate source reliability, or generate an HTML fact-check card/share-safe correction. Supports text, URLs, screenshots/images, two-source comparison, and topic-level prebunking in Bulgarian, English, Russian, EU policy, health, science, and geopolitical contexts. Trigger phrases: "is this true?", "is this fake?", "fact check this", "compare these sources", "проверка на факти", "истина ли е", "дезинформация ли е", "сравни тези източници".

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 guide for Web Performance optimization: Core Web Vitals (LCP, INP, CLS), bundle analysis, image optimization, rendering strategies, and Lighthouse score improvement / Panduan ahli untuk optimasi performa web: Core Web Vitals (LCP, INP, CLS), analisis bundle, optimasi gambar, strategi rendering, dan peningkatan skor Lighthouse.

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。

Stellar spectral analysis from first light to chemical abundance. Covers continuum emission and absorption, the OBAFGKM classification sequence, luminosity classes, line identification, Doppler shifts, curve-of-growth abundance analysis, and the astrophysical conclusions that follow from a spectrum. Use when classifying a star, measuring radial velocity, inferring composition or temperature, or teaching why the Sun is mostly hydrogen.

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。