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。
Implement robust testing strategies for JavaScript and TypeScript using modern frameworks like Jest and Vitest.
Implements and refactors code using modern ES6+ features, functional programming patterns, and asynchronous best practices.
Guides the development and standardization of custom Claude Code skills through modular design patterns and automated scripts.
Manages complex framework migrations and major library updates through structured compatibility analysis and staged rollout strategies.
Records and manages detailed deployment history with Git integration and rollback point tracking.
Streamlines the transition of legacy AngularJS applications to modern Angular versions using hybrid modes and incremental refactoring strategies.
Integrates PayPal payment processing including express checkout, recurring subscriptions, and secure refund management.
Evaluates and optimizes Claude Code plugin performance using automated metrics for token consumption and context efficiency.
Generates production-ready FastAPI project structures with asynchronous patterns, dependency injection, and robust CRUD architectures.
Streamlines Kubernetes application packaging by generating and managing standardized, production-ready Helm charts.
Implements a spec-driven development methodology by generating structured, phased implementation plans before any code is written.
Provides production-ready smart contract templates for building staking platforms, AMMs, governance systems, and lending protocols.
Architects resilient, cloud-agnostic systems using a comprehensive decision framework across AWS, Azure, and GCP.
Implements end-to-end request tracing across microservices using OpenTelemetry, Jaeger, and Tempo for deep observability.
Architects multi-stage CI/CD workflows with approval gates and advanced deployment strategies to ensure secure and reliable software delivery.
Manages the administrative lifecycle of specifications by tracking task status, documenting decisions, and organizing spec files.
Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.
Coordinates multiple AI models to provide structured, multi-dimensional feedback on technical specifications before implementation begins.
Analyzes swarm operations to detect performance bottlenecks and provides automated optimization recommendations for improved execution efficiency.
Validates and auto-fixes Spec-Driven Development (SDD) JSON files to ensure structural integrity and dependency health.
Automates the creation of detailed, convention-compliant Git commits and pushes changes to remote repositories.
Creates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through bold design choices.
Orchestrates end-to-end MLOps pipelines from data preparation and training to validation and production deployment.
Generates production-ready, secure Kubernetes YAML manifests for deployments, services, and cloud-native infrastructure.
Implements advanced data resampling and validation strategies using the R tidymodels framework for robust model evaluation.
Generates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Configures and optimizes static application security testing tools to automate vulnerability detection within the development lifecycle.
Automates and validates the entire npm package publishing lifecycle, from package.json verification to GitHub Actions CI/CD setup.
Implements real-time, unidirectional server-to-client streaming for progress updates and live data in Next.js and Vercel environments.
Optimizes cloud infrastructure spending through resource rightsizing, reserved capacity planning, and strategic cost governance.
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