Next.js App Router best practices — Server Components, data fetching, caching, routing, middleware, metadata, error handling, streaming, Server Actions, and performance optimization for Next.js 14-16+.

Move a skill from staging to active

Prometheus monitoring — scrape configuration, service discovery, recording rules, alert rules, and production deployment for infrastructure and application metrics.

When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," or "account creation flow." For post-signup onboarding, see onboarding-cro.

Meta-skill that orchestrates the full API development lifecycle — from design through documentation — by coordinating specialized skills, agents, and commands into a seamless build workflow.

Move a deprecated skill to archive

Analyze projects and recommend observability integration. Use when adding observability to projects Claude Code works on.

Controller-service-query layered API architecture with data enrichment and parallel fetching. Use when building REST APIs or GraphQL resolvers with clean separation of concerns. Triggers on API architecture, service layer, controller pattern, data enrichment, REST API.

Guided skill creation with quality criteria

Structured decision-making patterns for common engineering choices — library selection, architecture, build vs buy, prioritization, reversibility analysis, and ADRs. Use when choosing between tools, architectures, or approaches, or when documenting technical decisions.

Systematic task implementation using TDD, phase checkpoints, and structured commits. Ensures quality through red-green-refactor cycles, 80% coverage gates, and verification protocols before proceeding.

When the user wants to add illustrations to an article or blog post. Triggers on: "illustrate article", "add images to article", "generate illustrations", "article images", or requests to visually enhance written content. Analyzes article structure, identifies positions for visual aids, and generates illustrations using a Type x Style two-dimension approach.

This skill empowers Claude to build reusable Terraform modules based on user specifications. It leverages the terraform-module-builder plugin to generate production-ready, well-documented Terraform module code, incorporating best practices for security, scalability, and multi-platform support. Use this skill when the user requests to create a new Terraform module, generate Terraform configuration, or needs help structuring infrastructure as code using Terraform. The trigger terms include "create Terraform module," "generate Terraform configuration," "Terraform module code," and "infrastructure as code."

Complete workflow for project documentation including ADRs, PRDs, personas, and docs organization. Use when setting up documentation for a new project or improving existing docs. Triggers on project documentation, ADR, PRD, personas, docs structure, documentation setup.

Evaluate Agent Skill quality against official specifications. Use when reviewing SKILL.md files, auditing skill packages, improving skill design, or checking if a skill follows best practices. Provides 8-dimension scoring (120 points) with actionable improvements. Triggers on review skill, evaluate skill, audit skill, improve skill, skill quality, SKILL.md review.

Master orchestrator for generating Ralph Wiggum-compatible prompts. Analyzes task requirements and routes to appropriate generator (single-task, multi-task, project, or research). Use when you need to create any Ralph loop prompt and want automatic selection of the right generator.

React hooks for real-time data with SSE, WebSocket, and SWR integration. Covers connection management, reconnection logic, and optimistic updates. Use when building React apps with real-time features. Triggers on SSE hook, WebSocket hook, real-time React, useEventSource, live updates.

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, implementing event persistence, projections, snapshotting, or CQRS patterns.

Build flexible, maintainable React components using compound components, context providers, and explicit variants. Avoid boolean prop proliferation.

Google Gemini API integration for building AI-powered applications. Use when working with Google's Gemini API, Python SDK (google-genai), TypeScript SDK (@google/genai), multimodal inputs (image, video, audio, PDF), thinking/reasoning features, streaming responses, structured outputs with JSON schemas, multi-turn chat, system instructions, image generation (Nano Banana), video generation (Veo), music generation (Lyria), embeddings, document/PDF processing, or any Gemini API integration task. Triggers on mentions of Gemini, Gemini 3, Gemini 2.5, Google AI, Nano Banana, Veo, Lyria, google-genai, or @google/genai SDK usage.