AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
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.
Designs robust SQL and NoSQL database schemas with a focus on normalization, performance optimization, and safe migration patterns.
Maintains and displays a personalized library of successful development patterns and anti-patterns tracked across all your projects.
Automates GitHub pull request creation with integrated security audits, test validation, and code quality checks.
Simplifies Large Language Model fine-tuning and alignment using parameter-efficient techniques like LoRA, QLoRA, and DPO.
Implements reliable, atomic event publishing to ensure consistency between database state and message brokers.
Integrates ElevenLabs text-to-speech for professional video narration, automated voice selection, and precise audio timing.
Implement scalable, asynchronous task processing and job queues using Celery, ARQ, and Redis in Python backends.
Document and track significant architectural decisions using the standardized Nygard format to maintain project history and rationale.
Builds production-ready AI workflows using Python decorators for task orchestration and parallel execution.
Enhances RAG pipelines by prepending situational context to document chunks to preserve semantic meaning and significantly improve retrieval accuracy.
Implements comprehensive observability frameworks for structured logging, Prometheus metrics, distributed tracing, and system alerting.
Implements robust security patterns for Model Context Protocol integrations to prevent prompt injection and tool poisoning.
Stores project decisions, architectural patterns, and outcomes in a persistent knowledge graph to build a project-specific intelligence library.
Builds high-performance Next.js 16+ applications using React Server Components and React 19 server-first architecture patterns.
Provides an interactive directory and documentation guide to discover and access the extensive library of OrchestKit skills and agents.
Converts text into high-dimensional vector representations for semantic search, document similarity, and RAG pipelines.
Implements WCAG 2.2 AA accessibility patterns and audits web applications for inclusive design and legal compliance.
Orchestrates parallel subagents to execute full-stack feature implementation with automated testing and scope control.
Implements high-performance Redis caching patterns including cache-aside, write-through, and stampede prevention for backend services.
Provides standardized production blueprints and timing recipes for creating high-impact AI agent and code demonstration videos.
Automates production-ready CI/CD pipelines, containerization, and infrastructure as code using Docker, Kubernetes, and Terraform.
Designs and manages robust state schemas for AI agent workflows using LangGraph best practices and modern design patterns.
Implements high-performance asynchronous messaging and event-driven architectures using RabbitMQ, Kafka, and Redis Streams.
Optimizes AI skill definitions by analyzing usage patterns and automatically suggesting improvements based on real-world user edits.
Automates the recording and replaying of HTTP interactions in Python tests using VCR.py to create deterministic, fast, and offline-capable test suites.
Generates high-quality terminal recordings and CLI simulations optimized for Claude Code demonstrations and technical documentation.
Implements seamless page transitions and shared element animations using the native View Transitions API in React and MPA environments.
Implements automated accessibility audits and WCAG 2.2 compliance checks using axe-core, Playwright, and jest-axe.
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