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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.

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。

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.

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。

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.

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。

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.

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 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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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.

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。

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.

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。

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.

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。

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.

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。

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

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

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。

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.

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。

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.

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 (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。

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。

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。

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。

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。

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。

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。

Provides expert knowledge of the testing pyramid, test design principles, MockK patterns, and integration testing conventions for Spring Boot + Kotlin projects.

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。

Provides expert knowledge of the testing pyramid, test design principles, MockK patterns, and integration testing conventions for Spring Boot + Kotlin projects.

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。

Provides expert knowledge of JPA entity design, relationship mapping, Flyway migrations, and PostgreSQL-specific optimizations.

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。

Generates strictly typed Drizzle ORM schemas for PostgreSQL with indexes, foreign keys, and Zod schema deduction.

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。

Provides comprehensive testing patterns for Spring Boot applications covering unit, integration, slice, and container-based testing with JUnit 5, Mockito, Testcontainers, and performance optimization. Use when writing tests, @Test methods, @MockBean mocks, or implementing test suites for Spring Boot applications.

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。

Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.

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。