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Found 2,417 Skills
House of Marketers platform help — TikTok-focused marketing agency founded by ex-TikTok employee, offering influencer campaigns (50K+ creator network), TikTok paid ads management, UGC-style content creation, TikTok strategy consulting, and business profile growth across TikTok, Instagram, YouTube, and Twitch. Covers campaign pricing ($20K–$5M+), service selection (influencer vs paid ads vs content creation vs strategy), agency vs in-house decision framework, campaign workflow, creator selection process, and performance measurement. Use when unsure if House of Marketers is the right agency, TikTok campaigns aren't delivering results, HoM pricing feels unclear, or struggling to decide between hiring an agency vs building an in-house TikTok team. Do NOT use for TikTok marketing strategy (use /sales-tiktok-marketing), influencer marketing strategy across platforms (use /sales-influencer-marketing), gaming influencer marketing (use /sales-gaming-marketing), or general retargeting (use /sales-retargeting).
Query and analyze Coralogix Real User Monitoring (RUM) data. Use this skill when the user asks about frontend errors, page load times, web vitals, user interactions, browser errors, mobile crashes, Core Web Vitals (LCP, CLS, FID, INP, TTFB), JavaScript exceptions, page performance, session errors, RUM data, real user monitoring, or any frontend/client-side observability question - even if they don't explicitly say "RUM".
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, technology selection, or data modeling decisions.
JavaScript performance optimization guidelines. Use when writing, reviewing, or refactoring JavaScript/TypeScript code to ensure optimal performance patterns. Triggers on tasks involving loops, data structures, DOM manipulation, or general JS optimization.
Enforces TheOne Studio Cocos Creator development standards including TypeScript coding patterns, Cocos Creator 3.x architecture (Component system, EventDispatcher), and playable ads optimization guidelines. Triggers when writing, reviewing, or refactoring Cocos TypeScript code, implementing playable ads features, optimizing performance/bundle size, or reviewing code changes.
Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.
shadcn/ui component library best practices and patterns (formerly shadcn-ui). This skill should be used when writing, reviewing, or refactoring shadcn/ui components to ensure proper architecture, accessibility, and performance. Triggers on tasks involving Radix primitives, Tailwind styling, form validation with React Hook Form, data tables, theming, or component composition patterns.
JVM performance tuning - GC optimization, profiling, memory analysis, benchmarking
Redis performance optimization and best practices. Use this skill when working with Redis data structures, Redis Query Engine (RQE), vector search with RedisVL, semantic caching with LangCache, or optimizing Redis performance.