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.
Optimizes Ruby codebases through profiling, benchmarking, and advanced memory management techniques.
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.
Streamlines the creation, configuration, and delivery of transactional and marketing emails in Ruby on Rails applications.
Queries and analyzes Langfuse trace data directly from Claude Code to debug LLM performance and token usage.
Simplifies building and deploying lightweight Unikraft unikernels using the Kraft CLI and Unikraft Cloud infrastructure.
Facilitates AI-to-AI collaboration by consulting Codex CLI for objective, multi-perspective code analysis and critiques.
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 identification and resolution of TypeScript errors and linting issues while ensuring project integrity through automated testing.
Provides persistent semantic memory across Claude Code sessions to help developers recall context, architectural decisions, and project lessons.
Orchestrates parallel deep research across multiple LLM providers and synthesizes results into a unified, professional deliverable.
Enforces Uber's Go style guide for idiomatic, performant, and maintainable Golang development.
Implements structured logging and OpenTelemetry tracing to monitor and debug Go microservices and Lambda functions.
Implements robust Go concurrency patterns using errgroup, worker pools, and lifecycle management to prevent goroutine leaks.
Automates the process of repurchasing items from Amazon using secure 1Password authentication and browser automation.
Optimizes Todoist task lists using intelligent duplicate detection, stale task cleanup, and ADHD-friendly executive function coaching.
Debugs complex event-driven architectures by systematically isolating failures between EventSources and Workflows.
Streamlines development by integrating Linear task management, Sentry error tracking, and GitHub repository workflows directly into the AI environment.
Manages Park Slope Food Coop work shifts through automated browser interactions and secure 1Password authentication.
Migrates tasks, projects, and areas from Things 3 to Todoist with intelligent duplicate detection and merge support.
Facilitates structured requirement gathering and scope definition for software development tasks through guided interactive interviews.
Manages Chelsea Piers fitness class bookings via REST API with automated authentication and 24-hour advance scheduling logic.
Configures least-privilege IAM roles, Workload Identity Federation, and comprehensive audit logging for GKE clusters.
Analyzes time tracking data from Timing App to generate automated productivity reports and project breakdowns.
Builds structured requirements and architecture specifications through a facilitated, step-by-step conversation.
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