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。
Executes code modifications within a skill chain while systematically tracking implementation status and file changes.
Develops production-grade React interfaces using TypeScript, TailwindCSS, and modern architectural patterns.
Generates comprehensive, structured lesson plans and curriculum materials tailored for educational environments.
Automates the creation of cross-platform binary releases with checksums and changelogs for GitHub repositories.
Transforms software specifications into structured, autonomous task files optimized for Claude Code execution.
Automates the creation of full-featured CRUD API endpoints with built-in validation, authentication, and documentation.
Automates dataset analysis and cleaning by detecting data types, identifying quality issues, and generating Python scripts for standardized data preparation.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and advanced caching strategies.
Suggests documenting significant architectural changes as ADRs to capture technical context and long-term reasoning.
Provides comprehensive architectural guidance and routing for LimaCharlie SecOps tasks, including endpoint detection, cloud security monitoring, and automated response orchestration.
Builds complex, multi-component React artifacts for Claude.ai using modern frontend technologies and shadcn/ui.
Collects and manages forensic evidence from endpoints, including memory dumps, system logs, and network traffic, using the LimaCharlie security platform.
Designs complex stateful Detection & Response (D&R) rules for LimaCharlie to correlate events over time and track process tree relationships.
Facilitates deep requirement analysis and technical alignment to ensure project goals, architectures, and quality standards are perfectly synchronized.
Automatically identifies your project's technology stack, frameworks, and testing tools to optimize Claude Code's environment.
Generates standardized Claude Agent Skills with proper architecture, templating, and automated validation tools.
Manages isolated, secure AI agent execution environments on Kubernetes using Custom Resource Definitions and a Python SDK.
Empowers users to extend Claude Code with custom skills, Model Context Protocol (MCP) integrations, and automated event hooks.
Automates the end-to-end processing and curation of bulk RNA-seq datasets for VEuPathDB genomic resources.
Generates and edits high-resolution images directly within Claude Code using Google's Gemini 3 Pro Image API.
Identifies high-impact intervention points in complex systems to prioritize transformational change over superficial fixes.
Guides the development of high-quality Model Context Protocol (MCP) servers to connect LLMs with external APIs and services.
Applies proven architectural patterns from Martin Fowler’s PoEAA to build scalable, maintainable enterprise-grade applications.
Ensures code reliability by enforcing mandatory execution validation and systematic verification before any implementation is finalized.
Models complex system dynamics using stocks, flows, and feedback loops to quantitatively predict behavior and test policy interventions.
Generates distinctive, production-grade frontend interfaces with high design quality and custom aesthetics that avoid generic AI patterns.
Systematically analyzes implementation requirements, evaluates architectural tradeoffs, and identifies potential risks to ensure robust code delivery.
Optimizes Claude Code's multi-tiered memory hierarchy and project-specific rule structures for better context management.
Provides a structured framework for comprehensive data processing, multi-step analysis patterns, and standardized output generation.
Replaces standard deletion commands with a safe, recoverable trash system that preserves directory structure and prevents accidental data loss.
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