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ScalarDBアプリケーション設計パターンエージェント - ドメインタイプ判別に基づく設計パターン選択・データモデリング・DB選定・スキーマ設計。/design-scalardb-app-patterns [対象パス] で呼び出し。

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ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。

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インフラ基盤構成設計エージェント - AWS/Azure/GCP/OpenShift向けのKubernetes・IaC構成を設計・生成。/design-infrastructure で呼び出し。

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ScalarDB設計エージェント - エディション設定に基づくマイクロサービスのデータアーキテクチャ設計。分散トランザクション、スキーマ設計、ポリグロット永続化を策定。/design-scalardb [対象パス] で呼び出し。

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Rust 製ローカルファースト vector 特化クエリ DB fandhe-db (PostgreSQL wire protocol v3 互換) の fandhe-db-engine / fandhe-db-wire-server リファレンス。 USING PLAN / USING OPERATION_ID 構文、DDL / JOIN / CTE / window 関数、 拡張クエリ・COPY・トランザクション、TLS 1.3 / SCRAM-SHA-256、 NoSQL HTTP 表層、precision・recall モード、HNSW / BM25 / RRF hybrid / rerank、 redb 永続化、tenant・RLS、SIMD / wgpu、wire_code エラー契約。

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Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows.

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Monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance, discover subdomains via CT data, and alert on suspicious certificate activity for owned domains. Uses the crt.sh API and direct CT log querying based on RFC 6962 to build continuous monitoring pipelines that catch rogue certificates, track CA behavior, and map the external attack surface. Activates for requests involving certificate transparency monitoring, CT log auditing, subdomain discovery via certificates, or certificate issuance alerting.

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Automated documentation generation, API documentation, code comments, README templates, and knowledge base maintenance. Use when creating documentation, updating READMEs, generating API docs, or maintaining project documentation.

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CI/CD pipeline design, GitHub Actions workflows, deployment automation, infrastructure as code, and release management. Use when setting up CI/CD, automating deployments, configuring build pipelines, or managing releases.

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Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.

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Database optimization, query tuning, indexing strategies, migration management, and performance monitoring for PostgreSQL with Drizzle ORM. Use when optimizing slow queries, designing schemas, creating migrations, or setting up database monitoring.

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Change the sync configuration of an existing data warehouse schema — switch sync_type, pick a different incremental_field, set primary_key_columns, choose cdc_table_mode, or change sync_frequency. Use when the user asks "switch my orders table from full refresh to incremental", "this table is syncing too slowly / too frequently", "I need to pick a different incremental column", "set up CDC for this Postgres table", or when diagnosis of a failing sync pointed to an incremental-field or PK misconfiguration.

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Use when the user asks about revenue, payments, subscriptions, billing, CRM deals, support tickets, production database tables, or other data that PostHog does not collect natively. Also use when a query fails because a table does not exist or returns no results for expected external data. The data warehouse can import from SaaS tools (Stripe, Hubspot, etc.), production databases (Postgres, MySQL, BigQuery, Snowflake), and other arbitrary data sources. Covers checking existing sources, identifying the right source type, and guiding the setup.

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Guide the user through connecting a new data warehouse source — Postgres, MySQL, Stripe, Hubspot, MongoDB, Salesforce, BigQuery, Snowflake, and so on. Use when the user wants to "connect Stripe", "import data from Postgres", "add a new data source", "sync my warehouse tables", or wants to pick sync methods for each table. Walks through source-type discovery, credential validation, table discovery, per-table sync_type selection, and the final create call. Also covers picking a good prefix and what to do right after creation.

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Focused Signals scout for PostHog setup health. Reads the project's active health issues — the deterministic findings of PostHog's own health checks (no live events, outdated SDKs, missing reverse proxy, absent web vitals, ingestion warnings, failing data-warehouse models, and more) — and decides which are genuinely worth surfacing. Unlike a one-signal-per-issue push, it bundles kind-clusters into a single finding, weights by real blast radius (cross-referencing actual event volume and reach), and prioritizes issues an agent can resolve via the MCP. Emits only above the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet — no dependencies on other skills.

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Diagnose why a data warehouse sync is failing and recommend the right recovery action. Use when the user asks "why isn't my Stripe/Postgres/Hubspot sync working?", "this table has been stuck for hours", "the data in the warehouse looks wrong", or wants to troubleshoot a specific source or schema. Covers source-level vs schema-level failures, stuck Running states, credential and schema-drift errors, incremental-field misconfig, CDC prerequisite failures, and the cancel / reload / resync / delete-data recovery actions.

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Dockerize an application with a production-ready Dockerfile, docker-compose setup, and .dockerignore.

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Document technical decisions as Architecture Decision Records (ADRs) with context, options considered, and rationale.

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Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.

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Authors bioinformatics pipelines in WDL (Workflow Description Language) run by Cromwell or miniwdl, targeting the GATK/Broad and Terra/AnVIL/BioData Catalyst cloud ecosystem, with tasks, workflows, scatter-gather parallelism, structs, and a runtime block that sizes the cloud VM. Use when deciding to target Terra/AnVIL/GATK/WARP (chosen for the ecosystem, not the language); sizing runtime disks dynamically for a fresh-per-task cloud VM (ceil(size(f)*factor)+buffer); choosing preemptible vs on-demand VMs by task length and idempotency; picking Cromwell (production, cloud, call-caching) vs miniwdl (local dev, miniwdl check linting, readable errors); enabling and debugging call-caching silent-miss modes; pinning Docker by digest for reproducibility and cache stability; or scattering an array for parallel fan-out.

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Supabase (オープンソース Firebase 代替・BaaS) リファレンス。 PostgreSQL ベース、Auth (Email / OAuth / Magic Link / Phone / SSO)、Storage、 Edge Functions (Deno)、Realtime (subscriptions / presence / broadcast)、Vector embeddings、 supabase-js、@supabase/server (withSupabase)、supabase CLI (supabase stack)、 Supabase MCP サーバー、RLS (Row Level Security)、migrations。 SQL Server / node-mssql は別スキル mssql。

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Drizzle ORM (TypeScript ORM, drizzle-orm / drizzle-kit) の API リファレンス。 pgTable / mysqlTable / sqliteTable, `drizzle()`, `$inferSelect` / `$inferInsert`, RQB (Relational Queries) / `db.query`, `defineRelations`, magic `sql` operator, `drizzle-kit generate` / `push`, `drizzle.config.ts`, drizzle-zod, drizzle-seed, Drizzle Studio。SQL Server の低レベルドライバーは別スキル mssql。

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Better Auth (TypeScript 認証フレームワーク) v1.7 リファレンス。 認証・認可、サインアップ・サインイン、セッション管理、OAuth、パスキー、二要素認証 (2FA / TOTP)、SSO / SAML、SCIM、 OAuth Provider (OAuth 2.1 / OIDC)、MCP 認可 (@better-auth/mcp)、Infrastructure (dash / sentinel)、 プラグイン (organization, admin, magic-link, anonymous 等)。betterAuth, createAuthClient, signUp, signIn, getSession。 Next.js, Nuxt, SvelteKit, Hono, Express, Expo, TanStack, Effect 統合。

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BullMQ (Node.js ジョブキュー、Redis / PostgreSQL バックエンド対応) リファレンス。 Queue, Worker, Job, FlowProducer, QueueEvents、PostgreSQL backend、 createPostgresBackend, withBackend、レート制限、cron、delayed / repeatable / priority ジョブ、 再試行、デッドレター、フロー、バッチ処理、メトリクス。Python / Elixir / PHP / Rust 対応。

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