「nct」の検索結果

Generate Remix loader/action and route component test skeletons.

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。

Ensure requirement docs define scope, terminology, acceptance criteria, edge cases, and non-functional requirements.

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。

Detects per-caller special-cases (bandaids) bolted onto shared infrastructure/common functions, and when two or more same-kind special-cases exist proposes generalizing the lower-level mechanism 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。

Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.

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。

Apply when wiring validation, error handling, or framework adapters. Concentrate guards at system boundaries (CLI, config, network, external APIs); trust internal types and keep business logic in pure functions.

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。

Apply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, refuse to lie to the compiler, exhaust variants, derive from authoritative schemas.

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。

Supabase Flutter integration for PostgreSQL, Auth, Realtime subscriptions, Storage, Edge Functions, and Row Level Security. Use when building backend features with supabase_flutter or configuring database policies.

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。

Background processing and heavy computations using Dart Isolates with Isolate.run(), compute() function, and platform channels. Use this skill when performing CPU-intensive operations without blocking UI (image processing, data parsing, encryption), implementing background tasks that prevent jank or frame drops, handling large file operations (JSON parsing, database migrations), running parallel computations, fixing UI freezes caused by main thread blocking, using compute() for one-off background work, creating long-lived Isolates with ReceivePort/SendPort, implementing multi-threaded algorithms, debugging isolate communication issues, or preventing memory leaks from unclosed ReceivePorts. Covers isolate spawn, message passing, ReceivePort cleanup (CRITICAL for leak prevention), SendPort communication patterns, error handling, serialization rules, and performance optimization for compute-heavy 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。

Trace BIRD routing-daemon behavior through the actual C source tree. Use for implementation questions, suspected upstream bugs, parser/keyword origins, filter instructions, protocol state machines, route attributes, birdc commands, stack traces, or BIRD 2 versus BIRD 3 source comparisons. Prefer a local checkout or exact upstream tag/commit and cite concrete files, functions, and revisions. Route config linting to bird-agent and active incidents to bird-troubleshooting.

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。

Guides test implementation following the test pyramid (75% unit, 20% integration, 5% E2E), Arrange-Act-Assert pattern, and project coverage thresholds (branches 70%, functions 80%, lines 80%, statements 80%). Covers test naming conventions, test independence, mock and stub patterns, test data management with fixtures and builders, and CI integration. Use when writing tests, reviewing test code, or setting up test infrastructure.

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 native Android apps with the Android team's guides — Jetpack Compose UI, adaptive layouts, edge-to-edge, Compose styles, migrating XML views to Compose, Navigation 3 and predictive back; Android Gradle Plugin 9 upgrades, R8 keep rule analysis, profiling with Android Studio and Perfetto, and the Android CLI; Google Play policy compliance, Play Billing upgrades and the Engage SDK; Credential Manager restore and verified email; CameraX and Media3 Cast; App Functions and the ML Kit GenAI Prompt API; Wear OS, Android TV and display glasses. Use when writing, upgrading or auditing native Android (Kotlin) code for any of these topics, even if the user does not name the library.

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。

Integrates and reviews Firebase across Flutter, native Android, native iOS, React Native and Kotlin Multiplatform. Covers Auth, databases, Storage, Functions, FCM, Analytics, Crashlytics, Remote Config, App Check and KMP shared-to-platform SDK boundaries. Use for any Firebase setup, bug, security rule, emulator, configuration file or product 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 ast-grep (sg) for AST-aware code search and rewrite across 25 languages. Trigger for structural code matching or deterministic codemods: find every function/call/class/import shaped like X, rewrite console.log to logger.info, strip `as any`, migrate require() to import, find empty catch blocks or missing await, and scan/apply YAML rules. Prefer this over rg/grep when the target is syntax shape rather than text; use rg for string contents, comments, filenames, or regex-style byte searches.

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。

Applies principles from Robert C. Martin's 'Clean Code'. Use this skill when writing, reviewing, or refactoring code to ensure high quality, readability, and maintainability. Covers naming, functio...

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 checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability

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 C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure.

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。

Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start opt...

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 WhatsApp automations with Kapso workflows: configure WhatsApp triggers, edit workflow graphs, manage executions, deploy functions, and use databases/integrations for state. Use when automatin...

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 Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.

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。

Act as FriendlyBet's CEO and primary front door for every FriendlyBet request through automatic company preflight. Own end-to-end routing, planning, execution coordination, department orchestration, decision-rights enforcement, quality gates, board-style reporting, and escalation only for strategic, legal, brand, cost, risk, or taste decisions. Use by default in FriendlyBet threads, with full department planning for broad, ambiguous, strategic, cross-functional, or outcome-driven requests such as SEO, new features, multi-sport expansion, product direction, release execution, company operations, or agent coordination.

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。

Architect durable, event-driven workflows using step functions, retry strategies, idempotency, fan-out patterns, and the critical differences between orchestration approaches.

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。

Applies battle-tested clean code principles to writing, reviewing, and refactoring code. Covers naming, functions, comments, error handling, class design, and the critical difference between clever code and clear code.

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。

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable 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。

Use before any creative work — creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements, and design before implementation.

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。