AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Builds autonomous applications where software features are defined as outcomes achieved by agents operating in an execution loop.
Captures solved problems as categorized, searchable documentation with validated YAML frontmatter for institutional knowledge building.
Architects high-performance, minimalist Ruby gems following the battle-tested patterns of Andrew Kane.
Creates personalized coding tutorials and interactive quizzes using your actual codebase to accelerate your journey toward senior engineering mastery.
Bridges Agentica SDK agents with Maestro CLI tools to enable robust tool execution and anti-hallucination guardrails.
Streamlines parallel development and isolated code reviews by managing Git worktrees with automatic environment variable synchronization.
Enables comprehensive session tracing and sub-agent correlation via Braintrust for deep observability into agent workflows.
Orchestrates complex multi-agent AI workflows using standardized coordination patterns and robust infrastructure primitives.
Manages and deploys the Thrylen qEEG clinician portal, handling patient data synchronization, Netlify Blobs storage, and serverless functions.
Executes comprehensive end-to-end testing for data persistence pipelines within the Maestro ecosystem.
Designs and optimizes high-conversion email sequences, automated drip campaigns, and lifecycle messaging flows.
Configures repository instruction files for Tauri v2 and React-based desktop architectures to guide AI coding agents with security guardrails.
Develops, optimizes, and executes quantum circuits on IBM Quantum hardware and simulators using the industry-standard Qiskit framework.
Configures production-ready Celery workers for robust distributed task processing and background job management.
Queries and analyzes reference SDK implementations to provide best-practice patterns for feature development and debugging.
Performs deep, multi-model code analysis and security scanning using external AI engines to identify vulnerabilities and architectural improvements.
Provides comprehensive documentation and implementation patterns for building AI-powered applications using the Vercel AI SDK.
Manages and maintains MCP server entries, skills, and templates within the personality-assistant-registry ecosystem.
Provides strategic DevOps and SRE guidance aligned with the AWS Well-Architected Framework for scalable, cost-efficient infrastructure.
Standardizes data fetching across Next.js client, server, and FastAPI backends with robust authentication and error handling.
Accesses the NIH Metabolomics Workbench REST API to retrieve comprehensive metabolomics study data, metabolite structures, and standardized RefMet nomenclature.
Upgrades Claude Code skills to the v5 Hybrid format using decision theory frameworks and modal logic verification.
Generates concise, evidence-based medical treatment plans in LaTeX and PDF formats across all clinical specialties.
Deploys production-grade containerized environments for full-stack applications using Docker Compose, FastAPI, and Next.js.
Generates production-grade Next.js data table pages featuring SSR initial loading, SWR caching, and URL-driven state management.
Simplifies parallel Git development by automating worktree management and iTerm2 terminal organization.
Conducts comprehensive reviews of deployed mini-apps to identify improvements in functionality, code quality, and design.
Provides full CRUD access and data manipulation capabilities for Forest Admin collections via the Model Context Protocol.
Standardizes the creation and execution of MCP-powered scripts to ensure reliable tool integration and automated workflows.
Generates production-grade Next.js pages using a high-performance SSR and SWR hybrid data architecture.
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