AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Builds production-grade Apache Airflow workflows using standardized design patterns for operators, sensors, and error handling.
Implements a structured checkpoint system for AI agents to request human decisions without making assumptions.
Optimizes diagram management by delegating Excalidraw file operations to subagents to preserve context and reduce token consumption.
Architects and implements robust React state management solutions using Redux Toolkit, Zustand, Jotai, and React Query.
Implements robust end-to-end testing suites using Playwright and Cypress to ensure application reliability and prevent regressions.
Implements persistent knowledge storage and retrieval using Memento MCP to maintain project context across multiple AI agent sessions.
Identifies and calls chromatin loops from Hi-C data files in .mcool, .cool, or .hic formats for genomic visualization and analysis.
Instruments Python applications with structured logging, Prometheus metrics, and distributed tracing to enhance production reliability and system transparency.
Implements Command Query Responsibility Segregation patterns to build scalable systems with decoupled read and write models.
Upgrades legacy React applications to the latest versions using automated codemods, hooks migration, and concurrent rendering patterns.
Expands existing research outlines by automatically identifying gaps and appending new research objects via user input and web searches.
Organizes React and Next.js projects using a scalable, feature-based architecture to improve maintainability and code isolation.
Implements production-grade backend testing workflows using Vitest, Supertest, and property-based testing for TypeScript services.
Performs transcription factor footprinting and differential binding detection on ATAC-seq data using the TOBIAS framework.
Streamlines GitHub pull request workflows by automating triage, staleness detection, and merge readiness audits.
Streamlines GitHub pull request workflows by triaging PRs, detecting staleness, and managing review cycles.
Manages the end-to-end lifecycle of architectural decision records through rigorous research, multi-stage critiques, and explicit authorization.
Decomposes complex software features into structured, trackable tasks with explicit dependencies and binary acceptance criteria.
Generates comprehensive technical design specifications and architectural blueprints from approved requirements.
Identifies and audits agents that perform execution tasks directly instead of delegating to specialized skills to prevent context bloat.
Automates the creation of optimized, reusable Claude Code slash commands for streamlined developer workflows.
Facilitates structured event modeling sessions to design robust event-sourced systems using a 9-step discovery and design workflow.
Automates incident response and system remediation tasks including service restarts, resource scaling, and configuration updates.
Orchestrates reliable, step-by-step AI workflows by shifting execution control from the LLM to deterministic bash scripts.
Integrates Linear project management capabilities into Claude Code for automated issue tracking and workflow synchronization.
Facilitates structured, step-by-step reasoning for atypically complex problems to navigate architectural tradeoffs and intricate debugging scenarios.
Implements precise animation curves and motion behaviors using GreenSock's easing engine and specialized plugins.
Automates the capture and evolution of coding patterns into reusable instincts and specialist agents using high-reliability execution hooks.
Deploys a complete AI ensemble programming team with specialized agent personas, project scaffolding, and consensus-driven workflows.
Manages complex n-ary skill interactions and topos unification using dendroidal Segal spaces and lazy ACSet materialization.
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