Explore our collection of Agent Skills to enhance your AI workflow.
Secures applications by implementing robust server-side input validation and sanitization patterns using Zod and Pydantic.
Optimizes web performance for LCP, INP, and CLS using 2026 thresholds and real-user monitoring implementation patterns.
Orchestrates graph-based and semantic memory systems to provide unified, high-context information retrieval for AI development.
Implements secure authentication and authorization flows using modern standards like OAuth 2.1, Passkeys, and Argon2id.
Implements production-ready integration testing patterns for APIs, databases, and UI components within Claude Code.
Monitors and detects quality degradation, input distribution shifts, and semantic drift in LLM-powered applications.
Implements systematic problem-solving frameworks like the 5 Whys and Fishbone diagrams to identify the underlying source of software bugs and system incidents.
Guides the selection and mixing of professional audio elements to enhance the production quality of technology demonstration videos.
Implements production-grade unit testing patterns and best practices for TypeScript and Python using Claude Code.
Implements high-performance asynchronous database patterns using SQLAlchemy 2.0 and FastAPI integration.
Standardizes code review processes with structured feedback patterns, comprehensive checklists, and automated PR analysis workflows.
Designs and optimizes SQL and NoSQL database schemas with professional-grade normalization, indexing, and migration patterns.
Implements SOLID principles, hexagonal architecture, and Domain-Driven Design (DDD) patterns for building maintainable and testable backends.
Optimizes video thumbnails and first-frame visibility to maximize click-through rates and viewer retention across digital platforms.
Implements production-ready React dashboard architectures featuring responsive layouts, real-time data widgets, and advanced TanStack tables.
Implements comprehensive internationalization and locale-aware formatting for React applications, covering strings, dates, and RTL support.
Breaks large feature developments into smaller, reviewable pull requests to streamline code reviews and maintain a clean git history.
Optimizes AI performance by managing usage analytics, learned patterns, and privacy settings within the OrchestKit ecosystem.
Implements production-grade Model Context Protocol patterns for high-performance tool orchestration and resource management.
Audits and secures web applications against the most critical security vulnerabilities identified by OWASP.
Automates the creation of high-quality AI avatar videos and talking head content using the HeyGen API.
Implements real-time voice agents, high-accuracy transcription, and text-to-speech using leading audio AI providers.
Implements sophisticated Python testing workflows using custom markers, parallel execution with xdist, and advanced fixture architecture.
Optimizes LLM performance through production-ready patterns including Chain-of-Thought, dynamic few-shot learning, and automated prompt tuning.
Implements autonomous reasoning patterns like ReAct and Plan-and-Execute to enable LLMs to solve complex, multi-step tasks.
Manages the automated curation and multi-agent validation of high-quality datasets for LLM evaluation.
Implement and compare multi-agent orchestration frameworks like CrewAI, OpenAI Agents SDK, and Microsoft Agent Framework for specialized AI workflows.
Implements robust Retrieval-Augmented Generation (RAG) patterns to ground LLM responses with accurate, cited, and validated external data.
Implements high-performance, isolated unit testing patterns using the AAA methodology across TypeScript and Python environments.
Calibrates and positions precise video annotations, arrows, and callouts within Remotion compositions using interactive debug grids.
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