AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Orchestrates multi-agent AI swarms for parallel task execution and dynamic coordination using the agentic-flow framework.
Orchestrates complex multi-agent swarms for distributed research, full-stack development, and automated testing workflows.
Ensures codebase reliability through real-time truth scoring, automated code verification, and an intelligent rollback system.
Enhances Clojure development by providing semantic code navigation and similarity search via CIDER embeddings.
Automates the creation of production-ready Claude Code Skills using the progressive disclosure architecture and standardized YAML frontmatter.
Enables semantic code navigation and intelligent completions for Clojure using vector space embeddings.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and efficient batch operations.
Automates the entire GitHub release lifecycle using AI swarm coordination for versioning, testing, and multi-platform deployment.
Integrate 9 reinforcement learning algorithms to build self-improving AI agents that learn from experience and optimize behavior autonomously.
Facilitates advanced temporal versioning and causality tracking within DuckDB using time-travel queries and deterministic interaction coloring.
Facilitates professional AI-assisted pair programming with automated role management, TDD workflows, and real-time code verification.
Provides a structured framework for investigating architectural patterns and codebase best practices before implementation.
Architects scalable database schemas, optimizes SQL queries, and manages complex data migrations using industry best practices.
Enables advanced DuckDB time-travel queries and bi-temporal data tracking with deterministic interaction coloring.
Reduces 3-SAT problems to colored subgraph isomorphism using local geodesic constraints and GF(3) conservation.
Generate professional, publication-quality Python visualizations ranging from basic line plots to complex 3D figures and multi-panel subplots.
Automates pull request reviews using a multi-agent swarm to provide specialized feedback on security, performance, and code quality.
Performs high-performance geospatial analysis, H3 hexagonal indexing, and PostGIS-compatible spatial SQL queries using DuckDB.
Enforces a rigorous Red-Green-Refactor methodology to ensure code correctness through disciplined test-first development.
Streamlines SAP HANA database development and administration by leveraging the hana-cli tool for object inspection, HDI management, and metadata conversion.
Facilitates a collaborative writing process by synchronizing outlines with prose and integrating personal knowledge management data into drafts.
Streamlines the final stages of the development lifecycle by guiding users through code verification, integration decisions, and repository cleanup.
Generates structured, verifiable implementation plans following the Research-Plan-Implement (RPI) framework for disciplined software engineering.
Overlays real-time design review findings and numbered annotation badges directly onto web pages for visual issue tracking.
Conducts disciplined, methodology-driven code reviews using Conventional Comments to ensure quality, maintainability, and architectural integrity.
Automates the creation and management of isolated git worktrees for parallel software development.
Builds production-ready enterprise web applications using the SAPUI5 framework, OData services, and Fiori design principles.
Develops production-ready analytic applications and interactive dashboards using the SAP Analytics Cloud (SAC) scripting API.
Streamlines the end-of-branch lifecycle by verifying tests, detecting base branches, and automating merges or pull request creation.
Develops and manages custom visualizations and interactive components for SAP Analytics Cloud using Web Components.
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