AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Builds high-performance, low-latency voice AI applications using industry-leading APIs and real-time infrastructure.
Automates the creation of atomic, logically grouped Git commits with professionally formatted messages tailored to your project's existing style.
Executes structured technical implementation plans using an orchestrator model to delegate and parallelize development tasks.
Standardizes the creation and execution of rigorous A/B tests through mandatory validation gates and statistical planning.
Builds production-ready Next.js and DynamoDB applications using a pre-defined, high-performance tech stack to eliminate decision fatigue.
Standardizes project documentation through professional templates for READMEs, API references, code comments, and AI-friendly metadata.
Accelerates JavaScript and TypeScript development using the ultra-fast Bun runtime for package management, testing, and native execution.
Manages a persistent, searchable knowledge bank for AI agents to track project architecture, patterns, and design decisions.
Decomposes complex features into thin, end-to-end pieces of functionality to facilitate continuous delivery and incremental progress.
Generates professional, formatted changelogs by automatically analyzing git commit history and semantic versioning requirements.
Architects and deploys production-grade computer vision systems including object detection, segmentation, and real-time video processing using state-of-the-art AI models.
Manages stacked pull requests using the Graphite CLI to ensure proper branch dependencies and streamlined code reviews.
Guides architectural decision-making for database selection, schema modeling, and performance optimization.
Enforces the Easy Approach to Requirements Syntax (EARS) to create unambiguous, testable acceptance criteria using standardized formal patterns.
Automates customer interaction processing, health tracking, and task routing to optimize relationship management.
Downloads high-quality video and audio content from YouTube and other platforms for offline viewing and archival.
Automates the creation, initialization, and validation of SAX-compliant skills based on Anthropic standardization patterns.
Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.
Accelerates debugging and task completion by dispatching multiple independent agents to handle concurrent problem domains simultaneously.
Generates structured, actionable Linear issue descriptions and acceptance criteria to ensure clear execution by developers and AI agents.
Instruments and monitors LLM applications with advanced tracing, prompt management, and evaluation metrics.
Models complex discrete-event systems using Python to analyze resource contention, queue behavior, and process efficiency.
Guides feature planning and development using Minimum Viable Product principles to focus on essential functionality and rapid delivery.
Optimizes Docker containerization workflows through multi-stage builds, security hardening, and efficient orchestration patterns.
Architects scalable database schemas and optimizes query performance using context-aware design principles.
Restores project context and summarizes recent progress to help builders pick up exactly where they left off.
Generates professional UML and non-UML diagrams from text descriptions or source code and manages documentation conversion workflows.
Conducts systematic security assessments to identify and exploit privilege escalation vulnerabilities on Linux systems.
Generates balanced d20-system monster stat blocks and NPC profiles using SRD 5.2 standards.
Establishes and maintains a structured institutional knowledge system within a repository to track architectural decisions, bug fixes, and project configuration across AI-assisted development sessions.
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