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Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.

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 Vitest test-isolation hazards: unrestored vi.spyOn/vi.mock without afterEach cleanup or restoreMocks config, un-awaited resolves/rejects assertions, and shared mutable module state across tests.

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 debugging. Trace each symptom to its root cause and fix it there; reproduce first, ask why until you reach it, resist nil-check guards that silence crashes.

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。

Capture the creator's idea in their exact words. Use at the braindump stage, or when the user says "braindump", "let me talk this through", or "here is my idea".

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。

Create a SQL Server CDC capture using flowctl. Use when setting up real-time streaming from SQL Server, Azure SQL, Amazon RDS SQL Server, or Google Cloud SQL. Use when user says "capture SQL Server", "stream from MSSQL", "SQL Server CDC", or "connect SQL Server to Estuary".

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。

Create an Estuary derivation that continuously aggregates metrics (daily totals, running counts, min/max, lifetime revenue) using reduction annotations. Use for real-time dashboards, continuous materialised views, and replacing batch ETL aggregations with streaming. Derivations add complexity and cost — confirm the user wants a derivation before reaching for this. Use when user says "aggregation derivation", "derivation to sum daily totals", "running-count derivation", "transformation for min/max per group", "derive lifetime metrics", "aggregate-by-date derivation", or "real-time-dashboard derivation".

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。

Create a MySQL CDC capture using flowctl with binlog replication. Use when setting up streaming from MySQL, Amazon RDS MySQL, or Aurora MySQL. Use when user says "capture MySQL", "stream from MySQL", "MySQL CDC", "binlog replication", or "connect MySQL to Estuary".

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。

Create a new PostgreSQL CDC capture from scratch using flowctl. Covers all Postgres variants (vanilla, Aurora, RDS, Cloud SQL, Supabase, Neon). Use when user says "capture Postgres", "stream from Postgres", "Postgres CDC", "set up replication slot", or "connect Postgres to Estuary".

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。

Implements type-safe Flutter routing using AutoRoute v11 with code generation and @RoutePage annotations. Activates when setting up AutoRoute navigation, configuring AutoRouterConfig or RootStackRouter, generating route files with build_runner, using @RoutePage, @PathParam, or @QueryParam annotations, implementing AutoTabsRouter for bottom navigation tabs, adding navigation guards with AutoRouteGuard, setting up nested or child routes, handling type-safe route parameters, or migrating from string-based Navigator routing to compile-time-verified routes. Ideal for large apps requiring refactoring confidence and zero string-based routing 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。

Integrates Google Mobile Ads (AdMob) into Flutter using google_mobile_ads v7.x with Banner, Interstitial, Rewarded, and Native ad formats. Use this skill whenever implementing app monetization, adding AdMob ads to Flutter, fixing ad loading or display errors, managing ad lifecycle (preload/dispose), preventing memory leaks from undisposed ads, handling GDPR/ATT consent flows, troubleshooting AdMob dashboard integration, or any time the words 'AdMob', 'google_mobile_ads', 'banner ad', 'interstitial', 'rewarded ad', 'native ad', or 'ad monetization' appear in the request. Supports Android (GMA SDK 24.9+) and iOS (GMA SDK 12.14+).

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。

Dart 3 modern features (through 3.10) and Effective Dart best practices including records, patterns, sealed classes, dot shorthands, null-aware collection elements, and wildcard variables. Use when adopting Dart 3.7+ syntax, using dot shorthands for enums or static members, using null-aware elements in lists or maps, using wildcard _ parameters, improving code quality, or reviewing Dart code conventions.

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。

SharedPreferences (v2.5.5) for Flutter providing simple persistent key-value storage for non-sensitive user settings and app preferences. Use this skill when storing user preferences (theme mode, language selection, font size), app settings and configuration, feature flags or A/B test assignments, simple cache data, onboarding completion status, last selected values (filters, sort options), user consent flags, or any non-sensitive data that survives app restarts. Supports String, int, double, bool, and StringList types. NOT suitable for storing tokens, passwords, API keys, or any sensitive/encrypted data (use flutter_secure_storage instead). Ideal for quick persistent storage without database overhead.

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。

Implements responsive and adaptive layouts in Flutter using flutter_screenutil v5.9.x (pixel-perfect scaling from Figma), sizer v3.1.x (percentage-based viewport), and responsive_framework v1.1.x (breakpoint-driven structure changes). Use this skill when building apps for multiple screen sizes (phones, tablets, foldables, desktop, web), fixing layout overflow or sizing issues, implementing breakpoint-based adaptive UI, creating pixel-perfect designs from Figma specs, handling orientation changes, supporting Flutter web or desktop responsive layouts, or any time the words 'responsive', 'screenutil', 'sizer', 'breakpoint', 'adaptive layout', or 'screen size' appear in the request. Includes a decision matrix for selecting the correct package per scenario.

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。

Declarative routing and navigation for Flutter using GoRouter and AutoRoute. Use when implementing navigation guards, nested routes, type-safe routing, or deep link handling.

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。

FlutterSecureStorage (v10.x) for encrypted key-value storage of sensitive data using platform-native secure enclaves with biometric authentication support. Use this skill when storing OAuth tokens (access tokens, refresh tokens, ID tokens), API keys and secrets, user passwords or PINs, session tokens, encryption keys, private keys for cryptography, certificate data, biometric enrollment data, banking credentials, health data, or any sensitive information requiring platform-level encryption (iOS Keychain with Secure Enclave, Android Keystore with Hardware-backed keys). Supports Touch ID, Face ID, and Android biometric prompt integration. Handles biometric change invalidation (resetOnError), data migration from SharedPreferences/EncryptedSharedPreferences, Google Drive backup exclusion, automatic key rotation, configurable encryption algorithms (AES), and prevents data extraction even on rooted/jailbroken devices. Essential for authentication flows, secure credential management, or compliance requirements (PCI DSS, HIPAA, GDPR data protection).

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。

Manages local UI state and side effects in Flutter using the flutter_hooks package (v0.21.x) with HookWidget, useState, useEffect, useMemoized, useAnimationController, and custom hooks. Use this skill when replacing StatefulWidget boilerplate with hooks, reusing stateful UI logic across widgets, managing controller lifecycles (TextEditingController, AnimationController, ScrollController) without manual dispose, implementing countdown timers or subscriptions in widgets, mixing flutter_hooks with Riverpod via HookConsumerWidget, or any time the words 'flutter hooks', 'useEffect', 'useState', 'HookWidget', or 'flutter_hooks' appear in the request.

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。

Converts TypeScript to idiomatic Dart 3 code, covering syntax mapping, type system translation, async patterns, and module migration. Activates when translating TypeScript interfaces, classes, enums, generics, union types, async/await patterns, or modules to Dart; migrating frontend or Node.js logic to Flutter/Dart; converting RxJS Observables to Dart Streams; adapting TypeScript utility types to Dart equivalents; or producing idiomatic Dart 3 output (sealed classes, records, pattern matching) from TypeScript source.

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。

Configures deep linking in Flutter using Android App Links (assetlinks.json) and iOS Universal Links (apple-app-site-association) integrated with GoRouter v17.x navigation. Use this skill when setting up HTTPS domain association, handling magic links or email verification links, routing marketing campaign URLs (Google Ads, Facebook Ads) into the app, implementing password reset or invite flows via deep links, fixing deep link verification failures, troubleshooting GoRouter deep link integration, or any time the words 'deep link', 'universal link', 'app link', 'assetlinks', 'AASA', 'magic link', or 'deeplinking' appear in the request. Avoids deprecated custom URL schemes (myapp://).

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。

Generative UI (GenUI) for Flutter using AI models like Google Gemini, Anthropic Claude, or OpenAI via the genui package. Use this skill when building dynamic AI-driven interfaces, conversational UI flows, server-rendered screen layouts, LLM-powered dashboards, chat-based UI generation, or implementing prompt-to-UI systems. Supports AI-generated widgets, reactive data binding, ContentGenerator integration, and A2uiMessageProcessor for real-time UI updates from AI responses. Ideal for apps where UI structure is determined by AI/LLM output rather than hardcoded layouts.

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。

Organize financial records into tax-ready reports — P&L mapped to Schedule C lines, quarterly breakdowns, 1099 contractor summary, and flagged items requiring special treatment. Does not file taxes or give tax advice. Coordinates with specialized skills for meals, depreciation, home office, vehicle, and 1099 details. Trigger on "prepare for taxes", "tax prep", "Schedule C", "get ready for my accountant", "tax package".

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。

システムとアプリケーションメトリクスのリアルタイム可視化のための本番環境Grafanaダッシュボードを作成・管理します。モニタリングダッシュボードの構築、メトリクスの可視化、運用可観測性インターフェースの作成時に使用します。

適切なメタデータ処理、ミント戦略、マーケットプレイス統合を備えたNFT標準(ERC-721、ERC-1155)を実装します。NFTコントラクトを作成する時、NFTマーケットプレイスを構築する時、またはデジタル資産システムを実装する時に使用してください。

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

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。