AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Implements a high-confidence, three-tiered testing framework for TypeScript using dependency injection and behavior-driven patterns.
Streamlines the creation and management of Claude Code Agent Skills using Git sparse-checkout and standardized specifications.
Facilitates the creation, configuration, and management of specialized Claude Code plugins, skills, commands, and MCP server integrations.
Implements a high-confidence, three-tier testing methodology for Python applications using real dependencies and dependency injection.
Orchestrates robust Python software design by generating binding Architecture Decision Records (ADRs) integrated with comprehensive testing strategies.
Automates the creation and optimization of Harness CI/CD pipelines, templates, and complex deployment patterns using expert-level expression syntax.
Implements rigorous quality checkpoints, user approval gates, and iterative refinement loops for high-reliability AI development.
Conducts automated code reviews using Codex CLI to identify bugs, security vulnerabilities, and UI changes before project milestones.
Synchronizes local development progress and code changes directly with Jira issues to maintain project momentum.
Manages project tasks, bugs, and feature requests using the lightweight bd issue tracker with robust dependency support.
Reviews Architecture Decision Records (ADRs) to ensure compliance with strict Python testing levels and modularity principles.
Automates complex continuous delivery pipelines and deployment strategies across multi-cloud environments using Harness.
Automates the creation and management of AgnosticV catalog configurations for Red Hat Demo Platform deployments.
Evaluates athlete health signals and training load to provide conservative pre-run activity recommendations.
Streamlines the creation of Red Hat Showroom demo modules using the specialized Know/Show structure for presenter-led storytelling.
Architects durable, event-driven background jobs and serverless workflows without the complexity of managing queues or workers.
Writes standardized git commit messages using the Conventional Commits specification and ensures atomic, clean code staging.
Optimizes React and Next.js applications using 49 performance rules and impact-based priorities derived from Vercel Engineering standards.
Enforces a disciplined skill-first protocol to ensure Claude always leverages domain-specific guidance before initiating any task or response.
Creates distinctive, production-grade frontend interfaces with high-quality aesthetics that avoid generic AI design patterns.
Analyzes and visualizes structural properties of Markdown knowledge bases to find synthesis opportunities and structural weaknesses.
Generates authoritative, testable Product Requirements Documents focused on user value and measurable outcomes.
Generates context-aware, professional greetings and opening sentences for emails and business communications.
Generates structured, actionable Product Requirements Documents (PRDs) through interactive clarifying questions and standardized templates.
Automates daily task extraction and status reporting by integrating Gmail, Google Calendar, and GitHub activities.
Facilitates multi-AI parallel analysis and consensus building to resolve complex architectural and strategic technical decisions.
Automates UI verification by capturing screenshots, checking browser console logs, and identifying visual regressions using Tabz MCP tools.
Assigns work packages to AI agent team members and generates specialized configuration files for distributed development.
Automates the end-to-end software development lifecycle through a rigorous implementation and zero-tolerance review framework.
Establishes production-ready architectural patterns and best practices for modern React 19 SPA development.
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