ORM 工具

Production-grade skill for C++ performance optimization. Covers profiling, benchmarking, cache optimization, SIMD vectorization, multithreading, and lock-free programming techniques.

Match emotional register to purpose and calibrate warmth, formality, and urgency. Use when: (1) asked to adjust tone or emotional register, (2) high-stakes communication requiring precise tone, (3) delivering difficult news or sensitive feedback, (4) adapting message for different audiences.

Comprehensive guide to RDC's Snowflake data warehouse for marketing and consumer analytics. Use when querying clickstream data, lead attribution, marketing spend analysis, campaign performance, or revenue metrics. Triggers include queries about EFR, leads, spend, campaigns, clickstream, user journeys, SEM, app installs, paid social, or any Snowflake table exploration.

Get information about a sandbox. Requires authentication. Use for Agentuity cloud platform operations

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

Expert in building backend features with Next.js server actions, Drizzle ORM models, database operations, and the many-first design pattern. Use when creating or modifying server actions, database models, schemas, migrations, or backend business logic.

Build headless data tables with TanStack Table v8. Provides server-side pagination, filtering, sorting, and virtualization patterns for Cloudflare Workers + D1 databases.Use when building tables with large datasets, coordinating with TanStack Query, or troubleshooting state management issues, pagination coordination errors, or performance bottlenecks.

Use when managing Shannon CLI performance and costs - check cache statistics, clear stale entries, set budgets, understand automatic model selection and cost optimization

Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.

Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.

Complete guide to background job processing with Sidekiq in Ruby on Rails. Use this skill when: (1) Creating background jobs, (2) Configuring queues and workers, (3) Implementing retry logic and error handling, (4) Designing idempotent jobs, (5) Setting up scheduled/recurring jobs, (6) Optimizing job performance. Trigger keywords: background jobs, async, Sidekiq, workers, queues, ActiveJob, cron, scheduling, Redis, concurrency

Master Redis performance - memory optimization, slow log analysis, benchmarking, monitoring, and tuning strategies

Use OPAL subquery syntax (@labels) and union operations to combine multiple datasets or time periods. Essential for period-over-period comparisons, multi-dataset analysis, and complex data transformations. Covers @label <- @ syntax, timeshift for temporal shifts, union for combining results, and any_not_null() for collapsing grouped data.

This skill should be used whenever users need help with resume creation, updating professional profiles, tracking career experiences, managing projects portfolio, or generating tailored resumes for job applications. On first use, extracts data from user's existing resume and maintains a structured database of experiences, projects, education, and skills. Generates professionally styled one-page PDF resumes customized for specific job roles by selecting only the most relevant information from the database.

Query Perplexity.ai directly from the terminal to find answers to research questions, current events, and detailed explanations. Returns structured JSON output for programmatic parsing. Use when you need current information, comprehensive answers with source references, or want to avoid making separate web search requests.

Comprehensive post-build verification of Shannon Framework's application outputs using three-layermethodology: Flow Verification (execution trace analysis), Artifact Verification (physical outputinspection), and Functional Verification (runtime testing). Verifies Shannon built production-readyapplications across all domains (Frontend, Backend, Database, Mobile, DevOps). Ensures NO MOCKScompliance, cross-platform functionality, and complete integration. Use after: Shannon builds anyapplication via /shannon:wave, need to verify build quality, production readiness assessment.

Use when working on totalaud.io experimental project - ensures experimental code stays isolated from Total Audio Platform production code, prevents cross-contamination of dependencies, validates no production impact from experimental features

Streamlined guide for Google Ads API queries via MCP. Use when querying campaign performance, keyword metrics, conversion data, auction insights, or ad group analysis. Reduces context overhead by providing curated field references and common query patterns. Triggers on Google Ads, SEM performance, campaign analysis, keyword research, or auction insights requests.

Drizzle ORM for TypeScript - type-safe SQL queries, schema definitions, migrations, and relations. Use when building database layers in Next.js or Node.js applications.

This skill optimizes database queries to fix N+1 problems, add indexes, and improve performance.Supports PostgreSQL, MySQL, MongoDB, Redis with ORMs (SQLAlchemy, Prisma, TypeORM, Mongoose).Detects slow queries, suggests indexes, rewrites inefficient queries, and adds eager loading.Activate when user says "optimize queries", "fix N+1", "slow database", "add indexes", or performance issues.Output: Optimized queries with indexes, eager loading, query analysis, and before/after benchmarks.