Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.

React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Conduct thorough, constructive code reviews for quality and security. Use when reviewing pull requests, checking code quality, identifying bugs, or auditing security. Handles best practices, SOLID principles, security vulnerabilities, performance analysis, and testing coverage.

Design and implement comprehensive evaluation systems for AI agents. Use when building evals for coding agents, conversational agents, research agents, or computer-use agents. Covers grader types, benchmarks, 8-step roadmap, and production integration.

Implements Teresa Torres' continuous discovery habits for weekly customer contact, opportunity solution trees, and assumption testing. Use when building discovery processes, conducting user research, validating assumptions, or establishing product trio workflows.

Writes effective OKRs using Christina Wodtke's best practices and Google's OKR methodology. Use when setting goals, aligning teams, creating measurement frameworks, or tracking quarterly progress.

Structures presentations and verbal pitches using Matt Abrahams' WHAT-SO WHAT-NOW WHAT framework and impromptu speaking techniques. Use when preparing presentations, creating talking points, or practicing difficult conversations.

Get one actionable improvement for your AI product based on the latest GenAI PM briefs. Fetch the last 5 days of curated AI PM insights from genaipm.com, analyze the current repo/project, find synergy between trending topics and the user's work, then research the source material and apply a concrete improvement. Use when the user wants to improve their AI product, get coaching on AI PM best practices, apply the latest industry insights to their codebase, or run "/one-step-better-ai-pm". Requires a GenAI PM subscriber email (set GENAIPM_EMAIL env var or provide when prompted).

Crafts product narratives using Andy Raskin's strategic narrative structure and Nancy Duarte's presentation frameworks. Use when writing pitches, creating presentations, framing features as stories, or building compelling product narratives.

Guides "ship or iterate?" decisions using Shreyas Doshi's frameworks, Marty Cagan's shipping philosophy, and Tobi Lutke's reversible decision-making. Use when deciding if feature is ready, preventing perfectionism paralysis, applying one-way vs two-way door thinking, or balancing technical debt vs shipping speed.

Provides structured code review against plans and standards. Use when a feature is complete and needs validation, when reviewing code before merge, or when assessing quality and test coverage—e.g., "finished step X", "ready for review", "validate architecture", "check quality and tests".

Implements Rails caching patterns for performance optimization. Use when adding fragment caching, Russian doll caching, low-level caching, cache invalidation, or when user mentions caching, performance, cache keys, or memoization.

Creates ViewComponents for reusable UI elements with TDD. Use when building reusable UI components, extracting complex partials, creating cards/tables/badges/modals, or when user mentions ViewComponent, components, or reusable UI.

Creates presenter objects for view formatting using SimpleDelegator pattern with TDD. Use when extracting view logic from models, formatting data for display, creating badges/labels, or when user mentions presenters, view models, formatting, or display helpers.

Creates Rails controllers with TDD approach - request spec first, then implementation. Use when creating new controllers, adding controller actions, implementing CRUD operations, or when user mentions controllers, routes, or API endpoints.

Creates Rails concerns for shared behavior across models or controllers with TDD. Use when extracting shared code, creating reusable modules, DRYing up models/controllers, or when user mentions concerns, modules, mixins, or shared behavior.

Creates safe database migrations with proper indexes and rollback strategies. Use when creating tables, adding columns, creating indexes, handling zero-downtime migrations, or when user mentions migrations, schema changes, or database structure.

Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.