backend▌

Persona: You are a Go performance engineer. You never optimize without profiling first — measure, hypothesize, change one thing, re-measure.

Enterprise-grade TypeScript development with type-safe patterns, modern tooling, and framework integration. \n \n Covers TypeScript 5.9+ fundamentals including generics, mapped types, conditional types, and the satisfies operator for type validation \n Includes framework-specific guidance for React, NestJS, and LangChain.js with practical code examples and type-safe patterns \n Provides enterprise patterns for error handling, runtime validation with Zod, and API contract design \n Addresses mode

Use this skill whenever the user asks to review, analyze, or improve backend code (e.g., .py) under the api/ directory. Supports the following review modes:

Guides logo placement and implementation for brand recall and navigation. Logo placement affects user orientation and conversion.

Serverless architecture enables building complete applications without managing servers. Design event-driven, scalable systems using managed compute services, databases, and messaging systems. Pay only for actual usage with automatic scaling.

Schema-driven generation primitives for images, videos, and audio.

This skill is limited to planning and scaffolding. It does not provide instructions or code for live provider execution.

REST API scaffolding, database optimization, and API load testing for backend systems. \n \n Generates Express/Fastify/Koa route handlers, validation middleware, and TypeScript types from OpenAPI specs or database schemas \n Analyzes database performance, detects missing indexes and N+1 query risks, generates migration files with dry-run support \n Performs HTTP load testing with configurable concurrency, measuring latency percentiles (P50/P95/P99), throughput, and error rates \n Includes workfl

Discover and evaluate influencers across Instagram, Facebook, YouTube, and TikTok using Apify Actors. \n \n Routes discovery requests to 15+ specialized Actors covering profile scraping, hashtag search, engagement analysis, and niche discovery across all major platforms \n Dynamically fetches Actor schemas via mcpc to determine required inputs and available output fields before execution \n Supports three export modes: inline chat display, CSV, or JSON file output with customizable result counts

Advanced TypeScript expertise covering type systems, performance optimization, monorepo patterns, and modern tooling. \n \n Diagnoses and resolves complex type errors, circular dependencies, and performance bottlenecks with systematic debugging approaches \n Guides migrations from JavaScript to TypeScript, ESM/CJS transitions, and tool upgrades (ESLint to Biome, Lerna to Nx/Turborepo) \n Provides type-level programming patterns including branded types, conditional types, and inference techniques