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。
Standardizes the A/B testing process by enforcing statistical rigor and mandatory validation gates before implementation.
Accesses and manages Canvas LMS course content, assignments, and modules directly within Claude Code.
Provisions and controls cloud-based virtual machines for automated browser testing and remote task execution.
Streamlines Ruby test data generation by providing standardized patterns for factories, traits, sequences, and associations.
Ensures safe and reliable software releases through standardized deployment procedures, automated health checks, and structured rollback strategies.
Optimizes Ruby codebases through profiling, benchmarking, and advanced memory management techniques.
Implements production-grade styling for Next.js applications using modern CSS-first configuration and accessible design patterns.
Installs and manages Claude Code skills directly from GitHub and other Git repositories to enhance agent capabilities.
Streamlines the process of creating, testing, and publishing production-ready Ruby gems with standardized best practices.
Executes tests adaptively across any framework or language, analyzes failures, and generates detailed diagnostic reports to facilitate rapid iteration.
Streamlines the creation, configuration, and delivery of transactional and marketing emails in Ruby on Rails applications.
Updates Claude plugin definitions and documentation in real-time based on developer feedback during testing sessions.
Queries and analyzes Langfuse trace data directly from Claude Code to debug LLM performance and token usage.
Optimizes monorepo design and management using industry-standard tools like Turborepo, Nx, and pnpm workspaces.
Implements professional version control practices, semantic commit messaging, and standardized branching strategies for collaborative development.
Generates professional ASCII art diagrams to visualize system architectures, project workflows, and complex data structures directly within the console.
Designs scalable and maintainable application structures using Clean Architecture, DDD, and Microservices patterns.
Simplifies building and deploying lightweight Unikraft unikernels using the Kraft CLI and Unikraft Cloud infrastructure.
Builds full-stack AI agents by integrating Google ADK backends with CopilotKit-powered React frontends and Gemini models.
Converts academic course assignment PDFs into actionable, time-blocked markdown checklists that respect student schedules by prioritizing weekdays.
Automatically captures AI interactions into structured daily logs and exports formatted content to Notion for long-term archiving and research tracking.
Generates intelligent, non-redundant test plans by analyzing code changes to ensure comprehensive coverage without over-testing.
Facilitates AI-to-AI collaboration by consulting Codex CLI for objective, multi-perspective code analysis and critiques.
Synchronizes task lists from markdown files, messages, or structured data with GitHub Issues and Project boards using the GitHub CLI.
Transforms existing project documentation and legacy tasks into a structured product roadmap and actionable engineering backlog.
Analyzes therapy transcripts and personal journal entries to identify cognitive patterns, emotional themes, and track mental health progress.
Automates the discovery and collection of multi-source research data into structured, evidence-based datasets.
Manages social media content, schedules posts, and tracks analytics across platforms like X, LinkedIn, and Threads using the Typefully API.
Implements professional design system standards and reusable component patterns to ensure visual consistency across the Zyntro laboratory web application.
Provides officially verified implementation patterns and best practices for SyncFusion EJ2 React components to ensure correct module injection and optimal performance.
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