AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Automates the analysis of git changes to identify critical issues, prioritize fixes, and generate comprehensive code quality reports.
Designs comprehensive system architectures and technology stacks by generating visual diagrams and detailed technical rationales.
Transforms mature development patterns and organizational knowledge into structured learning materials, guides, and documentation.
Enforces BDD-style unit testing practices and standardizes Golang test structures using Ginkgo and Gomega.
Accelerates development by dispatching multiple Claude agents concurrently to resolve independent tasks and test failures simultaneously.
Provision and connect to DigitalOcean managed database clusters including PostgreSQL, Redis, MongoDB, and Kafka.
Orchestrates specialized AI agents to conduct systematic, multi-disciplinary research and synthesis on complex topics.
Ensures continuous project context by mandating structured documentation for every feature, bug fix, and session handoff.
Evaluates research rigor and scientific claims by assessing methodology, statistical validity, and potential biases using standardized frameworks.
Accesses the Human Metabolome Database (HMDB) to retrieve detailed chemical properties, biomarker data, and spectral information for over 220,000 metabolites.
Implements a systematic five-phase development lifecycle using multi-agent orchestration for autonomous coding, testing, and architecture.
Conducts systematic 7-step patent prior art searches and patentability assessments using BigQuery and CPC classifications.
Enables stack-based concatenative programming patterns and composition-heavy code generation for languages like Forth, Factor, and Joy.
Refines raw project ideas into structured technical designs using a Socratic, iterative approach before implementation.
Accelerates development by creating new files and committing them to Git in a single atomic operation.
Automates multi-domain task execution through a trifurcation-first imperative and self-evolving instruction systems.
Splits oversized programming tasks into smaller, manageable subtasks with automated dependency management and context optimization.
Standardizes screenshot capture, naming, and organization to ensure visual traceability and consistency during QA testing.
Streamlines development in SAP Business Application Studio with expert guidance on BTP connectivity, MTA deployments, and environment configuration.
Intelligently routes coding tasks to specialized agents based on user prompt keywords and project context.
Generates formal proofs, diagrams, and implementations from Category Theory Zulip discussions using context-aware gating.
Guides UI/UX aesthetic direction by applying historical design movements and their specific visual patterns to modern frontend code.
Optimizes Unity performance by implementing GC-free collection management using ListPool, DictionaryPool, and ObjectPool patterns.
Manages and retrieves domain-specific patterns, architectural decisions, and collective wisdom to prevent reinventing the wheel.
Provides idiomatic guidance and implementation patterns for Go 1.18+ featuring generics, workspaces, and robust design patterns.
Integrates sophisticated OpenAI API features including streaming chatbots, content generation, and rate-limited API routes for production-ready AI applications.
Implements robust background job processors and worker lifecycles using BullMQ best practices.
Facilitates seamless peer discovery and secure file exchange between Tailscale mesh nodes using the LocalSend protocol.
Implements Darwin-Gödel principles to create self-improving, evolutionarily robust skill ecosystems for AI agents.
Rewrites Git history safely and efficiently using git-filter-repo to remove sensitive data, large files, or restructure repositories.
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