AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Orchestrates multi-step Zapier workflows and manages persistent MCP tool preferences for seamless automation.
Builds robust Retrieval-Augmented Generation systems using vector databases and semantic search to ground LLM responses in proprietary data.
Configures robust network isolation and trusted domain policies for secure Claude Code sandbox environments.
Transforms academic papers into interactive websites, professional presentation videos, and print-ready conference posters automatically.
Guides authors through a systematic seven-step methodology to plan, structure, and write professional-grade novels using Claude.
Streamlines Payload CMS development with patterns for collections, hooks, access control, and Next.js integration.
Automates the migration of codebases and prompts from Claude Sonnet and Opus 4.1 to the latest Opus 4.5 model.
Extracts active pull request review comments via the GitHub GraphQL API to streamline the code revision process.
Processes and analyzes high-throughput genomic datasets including sequence alignments, variants, and reference files using the htslib wrapper.
Integrates high-performance semantic vector search and HNSW indexing for intelligent document retrieval and RAG systems.
Processes and analyzes high-throughput sequencing data to generate publication-quality genomic visualizations and quality control metrics.
Facilitates sophisticated human-AI collaboration through automated role management, real-time code verification, and diverse development modes.
Streamlines the configuration, debugging, and optimization of Payload CMS applications with TypeScript-first patterns.
Implements comprehensive testing strategies using pytest, fixtures, and mocking to ensure robust and maintainable Python codebases.
Architects and builds distributable Python packages using modern standards like pyproject.toml and PyPI publishing workflows.
Generates high-quality Korean component guidelines for the SEED Design System by extracting data from Rootage YAML specifications.
Streamlines the creation, structuring, and distribution of professional Python packages using modern PEP standards and pyproject.toml.
Implements Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground LLM applications in external knowledge.
Analyzes athletic performance data and training logs to optimize recovery and identify improvement trends.
Generates production-grade FastAPI project architectures featuring async patterns, repository structures, and robust dependency injection.
Streamlines GitHub issue triage, discussion moderation, and support ticket management for the Positron repository through structured workflows.
Processes and analyzes high-throughput sequencing data to generate publication-quality visualizations and quality control metrics for genomics research.
Implements production-grade shell scripting patterns to ensure reliability, safety, and fault tolerance in automation scripts.
Analyzes athletic performance data and workout logs to identify trends, recovery needs, and injury risks.
Implements robust, production-grade Bash scripts using defensive programming techniques, error handling, and security best practices.
Migrates codebases and prompts from earlier Claude models to the Opus 4.5 architecture across all major cloud platforms.
Guides developers through a structured 7-phase constitution-driven development process using the GitHub Spec-Kit CLI.
Automates the transition of codebases and prompts from previous Claude models to the Opus 4.5 architecture.
Converts academic papers into interactive websites, presentation videos, and professional conference posters using the Paper2All pipeline.
Masters complex Git operations including interactive rebasing, cherry-picking, and repository recovery to maintain a clean and professional commit history.
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