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。
Constructs production-grade Model Context Protocol (MCP) servers using Python and TypeScript to connect LLMs with external APIs and services.
Generates comprehensive benchmarking pipelines to compare Nixtla's TimeGPT, StatsForecast, MLForecast, and NeuralForecast models on custom datasets.
Systematically identifies the original source of bugs by tracing invalid data backward through complex execution stacks.
Manages and monitors SSL/TLS certificates to ensure secure connections and prevent service downtime from expired credentials.
Generates structured implementation roadmaps by mapping project features to specific tech stack commands and execution steps.
Automates a multi-phase gated workflow to produce verified datasets, evaluation metrics, and deployable contract bundles.
Simplifies the setup, validation, and management of Model Context Protocol (MCP) servers and environment configurations.
Optimizes cloud infrastructure spending through resource rightsizing, purchasing strategies, and automated lifecycle management.
Identifies and resolves software bottlenecks through systematic measurement and empirical optimization workflows.
Builds professional-grade private equity leveraged buyout (LBO) models in Excel with automated debt schedules and return analysis.
Protects AI workflows by implementing runtime secret scanning, PII masking, and prompt injection defense mechanisms.
Implements fluid mobile UI patterns, advanced animations, and platform-specific design systems for iOS and Android.
Diagnoses and resolves application performance issues across CPU, memory, I/O, and database layers to optimize resource utilization.
Enforces a disciplined four-phase engineering framework to identify and resolve software bugs by uncovering root causes before attempting fixes.
Automates the end-to-end release process for VS Code extensions, including versioning, CHANGELOG updates, and CI/CD integration.
Provides specialized knowledge and guidance for the Probitas scenario-based E2E testing framework for backend services.
Streamlines machine learning development by automatically generating end-to-end pipelines for model selection, tuning, and evaluation from natural language.
Accelerates modern React development using a high-performance stack featuring React 19, TypeScript, Tailwind CSS v4, and TanStack Query.
Builds high-performance microservices, CLI tools, and cloud-native applications using Go 1.23+ and modern frameworks.
Provides deep interpretability for machine learning models using SHAP and LIME to explain predictions and feature importance.
Prevents accidental credential leaks by configuring automated pre-commit hooks and scanning repositories for sensitive information.
Analyzes codebases to generate secure, optimized Claude Code Sandbox configurations and permission settings.
Manages, converts, and organizes Postman collections and OpenAPI specifications directly within your development workflow.
Architects robust backend systems by providing language-agnostic patterns for API design, authentication, security, and database modeling.
Verifies and configures development environments by validating tool installations, versions, PATH settings, and environment variables.
Implements a rigorous Red-Green-Refactor cycle to ensure high-quality, verified code across the software development lifecycle.
Manages Architecture Decision Records (ADR) with automated numbering, status tracking, and superseding workflows to maintain technical rationale.
Transforms web research findings into structured, actionable GitHub issues for streamlined project management.
Streamlines containerization, CI/CD pipeline creation, and production deployment strategies using industry best practices.
Streamlines Git context switching by safely managing uncommitted changes before navigating between existing worktrees.
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