Maps architectural components in a codebase and measures their size to identify what should be extracted first.
Optimize web performance: bundle size, images, caching, lazy loading, and overall page speed. Use when site is slow, reducing bundle size, fixing layout shifts, improving Time to…
Creates step-by-step decomposition plans and migration roadmaps for breaking apart monolithic applications.
Run Lighthouse audits locally via CLI or Node API, parse and interpret reports, and set performance budgets.
Implement web accessibility (a11y) standards following WCAG 2.1 guidelines. Use when building accessible UIs, fixing accessibility issues, or ensuring compliance with disability…
Maps business domains and suggests service boundaries in any codebase using DDD Strategic Design. Use when asking "what are the domains in this codebase?", "where should I draw…
Astro-specific performance optimizations for 95+ Lighthouse scores. Covers critical CSS inlining, compression, font loading, and LCP optimization.
Detects misplaced classes and fixes component hierarchy problems — finds code that should belong inside a component but sits at the root level.
Generate code using Nx generators — scaffold projects, libraries, features, or run workspace-specific generators with proper discovery, validation, and verification.
Creates Cursor-specific AI subagents with isolated context for complex multi-step workflows. Use when creating subagents for Cursor editor specifically, following Cursor's…
Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers.
React composition patterns that scale — compound components, state lifting, explicit variants, and React 19 API changes.
Use when deploying Next.js applications to Vercel. Triggers for: vercel.json configuration, build optimization, environment variable setup, custom domain configuration, API proxy…
Monitor Nx Cloud CI pipeline status and handle self-healing fixes automatically. Use when user says "watch CI", "monitor pipeline", "check CI status", "fix CI failures", or…
Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services,…
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services",…
Execute build, test, lint, serve, and other tasks in an Nx workspace using single runs, run-many, and affected commands.
Configure, explore, and optimize Nx monorepo workspaces. Use when setting up Nx, exploring workspace structure, configuring project boundaries, analyzing affected projects,…
Expert in Confluence operations using Atlassian MCP. Use when the user says "search Confluence", "create a Confluence page", "update a page", "find documentation in Confluence",…
Finds duplicate business logic spread across multiple components and suggests consolidation. Use when asking "where is this logic duplicated?", "find common code between…
Find 5-10 key decision makers per company with verified emails using Parallel, Apollo, and MillionVerifier APIs
Creates comprehensive Technical Design Documents (TDD) with mandatory and optional sections through interactive discovery.
Manage Jira issues via Atlassian MCP — search, create, update, transition status, and handle sprint tasks. Auto-detects workspace configuration.
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code.
Technology-agnostic guidance for modular systems: bounded contexts, clear boundaries, composability, state isolation, explicit contracts, failure containment, scaffolding…
Creates structured Request for Comments (RFC) documents for proposing and deciding on significant changes.
Complete Shopify development reference covering Liquid templating, OS 2.0 themes, GraphQL APIs, Hydrogen, Functions, and performance optimization (API v2026-01).
Runs a sequenced monolith-to-modular pipeline that sizes and inventories components, finds shared domain duplication, addresses flattening and hierarchy issues, analyzes coupling,…
When the user wants to build a partner program, launch an affiliate program, design integration partnerships, or create distribution partnerships.
When the user wants to launch a product across multiple platforms, plan a Product Hunt launch, build a waitlist, or execute a multi-channel launch strategy.
When the user wants to define GTM metrics, build a metrics dashboard, measure pipeline efficiency, or track AI product performance.
When the user wants to sell through social media, optimize LinkedIn for sales, build DM sequences, or convert content engagement into pipeline.
When the user is a solo founder building their GTM motion, wants to scale without hiring, or needs to design an AI agent team for go-to-market.
When the user wants to reduce churn, build expansion revenue, automate customer success, or optimize net revenue retention.
When the user wants to define their ideal customer profile, position an AI product, build messaging architecture, or validate product-market fit.
When the user wants to create UGC ad campaigns, recruit UGC creators, generate AI UGC content, or scale with user-generated content.
When the user wants to build video-first cold outreach, create personalized video at scale, implement async selling, or use AI demo generation for prospecting.
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales.
When the user wants to choose between PLG and sales-led, design a sales motion, optimize time-to-first-value, or build a value-before-purchase experience.
When the user wants to build an AI-powered outreach system, write cold emails, improve deliverability, or scale personalized outreach.
When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle.
When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins.
When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms.
When the user wants to create AI-generated ad creative, test performance creative, manage creative fatigue, or optimize paid media with AI tools.