Databases

Diagnoses and resolves MCP server registration failures, GPU detection, BigQuery authentication, index build failures, import errors, search quality issues, and performance problems.

Configures Dapr pub/sub components for event-driven microservices with Kafka or Redis. Use when wiring agent-to-agent communication, setting up event subscriptions, or integrating Dapr sidecars. Covers component configuration, subscription patterns, publishing events, and Kubernetes deployment. NOT when using direct Kafka clients or non-Dapr messaging patterns.

Security configuration for Bazzite. LUKS disk encryption with TPM auto-unlock, secure boot key management, and sudo password feedback. Use when users need to configure security features.

TanStack Query (React Query) patterns for ZZIK v5.1 state management.

Provides critical architectural patterns for the pricing engine. Covers database operations, B2B/B2C dual processing, background jobs, error handling, and performance patterns. Use before implementing pricing engine features, modifying background jobs, or reviewing pricing engine code changes.

Check PR review comments and feedback from CodeRabbit and human reviewers. Use when user asks about reviews, unresolved comments, CodeRabbit feedback, Claude review, or PR status.

Record feedback on pattern effectiveness. Stores episodes that train the recommendation system and enable pattern discovery via learner.

Optimize queries with indexes, batching, and efficient Prisma operations for production performance.

Turn web UI/UX feedback into graspable, prioritized fixes (layout, hierarchy, accessibility, interaction patterns, and performance UX) with concrete diffs and verification steps.

Addresses PR review comments by making code changes and posting replies. Takes a PR number or auto-detects from current branch. Use when the user wants to address review feedback, respond to PR comments, fix PR feedback, or says "address comments on PR X".

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

将已有 SQL 接入到数据栈的某一层（ODS/DIM/DWD/ADS）。当用户需要添加新表、接入数据源、配置数据层时使用。支持配置 sources、table_dependencies、创建 migration 文件。

Expert assistant for creating database migrations for the KR92 Bible Voice Supabase project. Use when creating database migrations, adding tables, modifying schemas, creating RPC functions, or writing rollback scripts.

Understand the toy relational database architecture, crate organization, data flow, and implementation patterns. Use when exploring the database codebase, understanding query execution, debugging storage/indexing, or planning new features. Keywords: sql-database, database, crate, storage, executor, planner, parser, catalog, WAL, buffer pool, index, architecture

MERN stack patterns including React with Vite, Express middleware, MongoDB schemas, API Gateway architecture, session management, error handling, and testing strategies. Activate for MERN development, microservices architecture, and full-stack JavaScript applications.

Firebase integration patterns for CJS2026 - Cloud Functions, Firestore operations, security rules, and authentication flows

Infrastructure as Code with Terraform for cloud Kubernetes clusters. Covers OKE (Oracle), AKS (Azure), GKE (Google) provisioning, multi-cloud patterns, and state management.

Path-grounded multi-agent orchestration using the Liku directory hierarchy (skills.xml inheritance, todo.md + LikuErrors.md audit trail, SQLite memory). Use when you need to initialize Liku, generate an agent bundle for a specific Liku/* residence path, or expose Liku as an MCP server for Gemini-CLI, Claude Code, Copilot-CLI, or ChatGPT Codex.

Generate realistic database seed data and test fixtures for development, testing, and demonstrations. Creates realistic users, products, orders, and custom schemas using Faker libraries while maintaining relational integrity and data consistency. Use when populating databases, creating test fixtures, seeding development environments, or generating demo data.

Astro with Supabase integration for Netlify.