AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Generates museum-quality visual art and design philosophies through systematic aesthetic frameworks and master-level craftsmanship.
Builds interactive Japanese language learning applications featuring spaced repetition systems, gamified elements, and audio-first pronunciation practice.
Synchronizes AI agent skill definitions between .claude and .codex directories to ensure configuration consistency.
Provides specialized SQL query templates for managing and exploring v3_metadata database structures, including business objects and custom fields.
Generates synchronized task completion reports including concise chat summaries and comprehensive Markdown documentation files for technical auditing.
Generates structured, step-by-step implementation plans featuring dependency mapping and progress tracking to streamline complex development tasks.
Enhances image resolution, sharpness, and clarity to create professional-grade visual assets for documentation and social media.
Retrieves project history, past decisions, and coding lessons using semantic search to provide persistent context across Claude sessions.
Streamlines the creation, testing, and optimization of custom slash commands within the Claude Code environment.
Standardizes Python development workflows by providing expert guidance on coding standards, testing, and documentation.
Automates the configuration and management of reproducible data collection pipelines from databases, APIs, web scraping, and LLM generation.
Generates structured, step-by-step implementation plans and Markdown task lists from technical specifications or requirements.
Standardizes and automates comprehensive code reviews focusing on readability, performance, security, and industry best practices.
Queries the China Historical GIS Temporal Gazetteer API to retrieve and analyze historical Chinese placenames and administrative structures from 222 BCE to 1911 CE.
Generates publication-quality charts and statistical visualizations using Matplotlib and Seaborn.
Provides expert guidance for building, configuring, and optimizing Retrieval-Augmented Generation (RAG) pipelines.
Creates sophisticated, gallery-quality generative art using p5.js through custom algorithmic philosophies and interactive parameter exploration.
Facilitates the testing and synchronization of agent skill definitions between .claude and .codex environments.
Guides the creation and packaging of specialized Claude Code skills using standardized workflows and resource templates.
Validates LlamaFarm configuration files against schema requirements to ensure correct model and runtime setup.
Integrates LlamaFarm's REST API into your applications for programmatic project management, RAG-enabled chat, and dataset control.
Orchestrates complex multi-agent workflows using advanced topologies for research, development, and distributed testing.
Guides users through creating, structuring, and validating custom Agent Skills to enhance Claude Code's capabilities.
Generates optimized LlamaFarm configuration files from natural language descriptions for RAG and document processing workflows.
Guides developers through the end-to-end process of building, testing, and evaluating high-quality Model Context Protocol (MCP) servers.
Scaffolds production-ready Next.js projects with Feature-Sliced Design architecture and modern development tooling.
Streamlines the creation, review, and management of comprehensive technical specifications and formal requirements.
Facilitates structured brainstorming, conceptual development, and systematic idea documentation through a progressive lifecycle management system.
Provides a standardized scaffolding and structural blueprint for developing custom Claude Code skills.
Elevates code quality through constructive feedback patterns, systematic security audits, and collaborative knowledge-sharing practices.
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