ORM 工具

Work with the NNT (Nakul Notation Tool) compiler - parse music notation shorthand, query musical structures, and export to MusicXML, ABC, and other formats for PhD research and educational content

Implement cursor-based or offset pagination for Prisma queries. Use for datasets 100k+, APIs with page navigation, or infinite scroll/pagination mentions.

Research file storage conventions and templates for dokhak agents. Use when: (1) saving research results from research-collector or researcher agents, (2) reading cached research files, (3) checking if research exists for a section. Provides directory structure, file format templates, and naming conventions.

This skill should be used when the user asks about "R2", "D1", "KV", "Durable Objects", "Queues", "Vectorize", "Hyperdrive", "Workers Analytics", "Email Routing", "Browser Rendering", or discusses Cloudflare platform services, storage options, database choices, when to use which service, or integration patterns between Workers and platform products.

Provides type-safe database access with Prisma ORM including schema definition, migrations, queries, and relations. Use when setting up database connections, defining data models, writing queries, or managing database migrations.

Supabase operational knowledge for migrations, RLS optimization, MCP tool benchmarks, and ADR-003 compliance. Use when validating database migrations, optimizing Row-Level Security policies, checking MCP tool performance, or ensuring Supabase operational standards. Triggers on: migration validation, RLS patterns, Supabase benchmarks, ADR-003, database state tracking, schema governance.

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

Validate data with JSON Schema and AJV. Use when validating API requests, form submissions, database inputs, or any data boundaries. Provides deterministic validation with consistent error formats.

Guide for building applications on Cloudflare's edge platform. Use when implementing serverless functions (Workers), edge databases (D1), storage (R2, KV), real-time apps (Durable Objects), AI features (Workers AI, AI Gateway), static sites (Pages), or any edge computing solutions.

Multi-round web search with low-frequency query generation. Prioritize GitHub/StackOverflow for actionable code, extract AI Overview insights, and perform deep link analysis. Use proactively for complex problems requiring external knowledge or when stuck on implementation challenges.

Backend entity patterns - services with DI, Drizzle schemas (3-file pattern), ORPC routers, TypeIDs, neverthrow. Use when creating services, schemas, routers, or new entities.

Integrate Databricks Genie rooms as tools in agent workflows. Use when integrating Genie spaces with AI agents, querying Genie rooms programmatically via SDK or MCP, managing Genie conversations and polling, handling Genie API responses and errors, or building tool-calling agents that use Genie as a data source. Covers SDK patterns, MCP tool integration, conversation management, error handling, and performance optimization for Genie-based agent tools.

Guide for implementing Grafana Mimir - a horizontally scalable, highly available, multi-tenant TSDB for long-term storage of Prometheus metrics. Use when configuring Mimir on Kubernetes, setting up Azure/S3/GCS storage backends, troubleshooting authentication issues, or optimizing performance.

Build PRISMA 2020-compliant systematic literature review systems with RAG-powered analysis in VS Code. Use when researcher needs automated paper retrieval (Semantic Scholar, OpenAlex, arXiv), AI-assisted PRISMA screening (50% or 90% threshold), vector database creation (ChromaDB), or research conversation interface. Supports knowledge_repository (comprehensive, 15K+ papers, teaching/exploration) and systematic_review (publication-quality, 50-300 papers, meta-analysis) modes. Conversation-first workflow with 7 stages.

Write secure, performant, and optimized database queries using parameterized queries, eager loading, proper indexing, and transaction management. Use this skill when writing database queries in controllers, repositories, services, or model methods, when using query builders or ORM methods, when implementing filtering/sorting/pagination logic, when optimizing N+1 query problems with eager loading, when working with joins and complex queries, when implementing query caching, or when wrapping related operations in database transactions.

Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges

Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend code.

Modern Node.js backend stack: NestJS/Hono, Drizzle ORM, Vitest, TypeScript.Use when: building Node.js APIs, TypeScript backends, or serverless functions.Triggers: "nestjs", "node backend", "express", "hono", "drizzle", "vitest","typescript api", "node api", "bun".

Patterns standard pour les API Next.js. Utiliser pour créer, modifier ou débugger des endpoints.AUTO-ACTIVATE when user mentions (FR/EN): - API, endpoint, route, /api/, NextResponse - GET, POST, PUT, DELETE, PATCH - 500 error, 400 error, API error - créer API, create API, new endpoint - Prisma dans API, fetch, response

Performance optimization patterns for Mem0 memory operations including query optimization, caching strategies, embedding efficiency, database tuning, batch operations, and cost reduction for both Platform and OSS deployments. Use when optimizing memory performance, reducing costs, improving query speed, implementing caching, tuning database performance, analyzing bottlenecks, or when user mentions memory optimization, performance tuning, cost reduction, slow queries, caching, or Mem0 optimization.