Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes full-stack application performance using modern patterns for Core Web Vitals, React rendering, and high-throughput LLM inference.
Implements production-ready security patterns for authentication, defense-in-depth, input validation, and LLM safety protocols.
Architects production-ready REST, GraphQL, and gRPC APIs using standardized versioning, error handling, and documentation patterns.
Automates browser workflows and extracts structured web data with built-in security rules, rate limiting, and ethical scraping guardrails.
Enforces clean architecture, backend layer separation, and project structure conventions with context-aware right-sizing.
Implements production-grade security patterns for authentication, input validation, OWASP compliance, and LLM safety.
Builds high-performance, asynchronous Python services using FastAPI, SQLAlchemy 2.0, and modern asyncio patterns.
Integrates advanced vision, audio, and video generation capabilities using production-ready multimodal LLM patterns.
Architects robust AI agents and multi-agent systems using production-ready LangGraph orchestration patterns.
Right-sizes software architecture to specific project scopes to prevent over-engineering and unnecessary complexity.
Implements WCAG 2.2 compliant patterns and accessible UI components using React Aria and native HTML-first principles.
Builds and coordinates sophisticated AI agent systems using industry-standard patterns like ReAct loops, multi-agent supervision, and framework-specific implementations.
Implements comprehensive infrastructure monitoring, LLM tracing, and drift detection patterns to ensure production-grade system reliability.
Implements comprehensive monitoring, LLM tracing, and drift detection patterns for production-ready AI applications.
Implements robust distributed architecture patterns including locking, resilience, idempotency, and rate limiting for scalable backend systems.
Provides production-grade patterns for building accessible UI component libraries using shadcn/ui, Radix Primitives, and modern CSS frameworks.
Automates AWS infrastructure cost forecasting using Helm chart configurations and transaction-per-second (TPS) scaling models.
Performs a comprehensive 44-dimension audit of codebases to ensure production readiness and alignment with Ring engineering standards.
Implements a structured, step-by-step product development workflow to minimize ambiguity and maximize code quality for AI coding agents.
Synchronizes AI agents with project-specific patterns, architectural decisions, and previously discovered technical constraints before implementation begins.
Enforces a strict Red-Green-Refactor methodology for Claude Code to ensure high-quality, test-backed production code.
Captures and codifies project-specific insights, architectural decisions, and debugging patterns into reusable skills for Claude Code.
Monitors human-AI collaboration quality to detect context drift and triggers re-anchoring protocols to restore productivity during long sessions.
Automates the validation and publication process for the Navigator plugin to ensure version consistency and integrity.
Executes complex tasks iteratively until completion using structured progress signals and stagnation detection.
Manages persistent user preferences and auto-learns from session corrections to create a tailored AI coding experience.
Develops comprehensive monetization strategies for iOS and macOS applications, covering pricing models, subscription tiers, and StoreKit implementation.
Generates distinctive, production-grade frontend interfaces with high design quality that avoid generic AI aesthetics.
Enforces a rigorous, four-phase root cause analysis process to eliminate guesswork and prevent regression bugs.
Optimizes React and Next.js application performance using official Vercel Engineering guidelines and 45 specialized rules.
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