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。
Manipulates, creates, and analyzes Microsoft Word (.docx) files with professional-grade support for tracked changes and formatting preservation.
Builds bespoke, interactive data visualizations and complex codebase maps using the D3.js library for high-level data storytelling.
Validates feature implementation against acceptance criteria and automated test results to ensure software requirements are met.
Processes genomic data files including SAM, BAM, VCF, and FASTA using a high-performance Python interface to htslib.
Generates comprehensive project foundation documents including charters, stakeholder maps, and technology radars.
Orchestrates an autonomous multi-agent pipeline to plan, implement, and validate software features from specifications.
Parses and validates project specifications to bridge the gap between human requirements and autonomous coding execution.
Automates the creation of comprehensive test suites following Test-Driven Development principles to ensure high code quality and feature coverage.
Monitors and reduces Anthropic API expenses through advanced token tracking and implementation of optimization patterns like prompt caching and effort selection.
Accesses and analyzes comprehensive pharmaceutical data, including drug properties, interactions, molecular targets, and chemical structures from DrugBank.
Implements advanced Gemini 3 Pro capabilities including function calling, structured outputs, and context caching for production-grade AI applications.
Orchestrates autonomous coding tasks by managing feature queues and coordinating implementation, testing, and validation phases.
Automates the creation, editing, and analysis of Microsoft Word documents with support for tracked changes and scientific visualizations.
Automates intelligent Kubernetes node provisioning and cost optimization for Amazon EKS using Karpenter.
Orchestrates a multi-agent debugging workflow using Claude, Gemini, and Codex to perform advanced root cause analysis and automated fix generation.
Implements production-ready reinforcement learning algorithms using a unified, scikit-learn-style API for efficient agent training and evaluation.
Orchestrates complex multi-agent workflows by decomposing tasks, delegating to specialized skills, and managing execution through to delivery.
Conducts deep, multi-perspective technical audits and research by orchestrating Claude, Gemini, and Codex AI systems.
Validates Claude Code skill functionality through automated example execution, integration checks, and systematic regression testing.
Generates comprehensive unit, integration, and E2E tests using industry-standard patterns and robust edge case detection.
Verifies critical claims and factual assertions through source-backed evidence and recursive confidence-building loops.
Automates the synchronization and maintenance of the anthropic-expert skill by tracking the latest Anthropic API and SDK documentation.
Manages state snapshots and automated rollbacks to enable safe experimentation during autonomous coding sessions.
Implements a standardized multi-agent pipeline to orchestrate complex software development tasks through autonomous sub-agents.
Orchestrates spec-driven development workflows and multi-phase task management within the Gemini CLI environment.
Provides expert diagnostics and remediation steps for Amazon EKS cluster issues, pod failures, and networking problems.
Generates comprehensive test suites following Test-Driven Development principles to ensure robust feature coverage and automated validation.
Standardizes the creation and optimization of specialized AI skills to extend Codex's capabilities with domain-specific knowledge.
Automates scientific hypothesis generation and testing from tabular datasets using LLMs and literature integration.
Maps complex feature dependencies and calculates critical paths to determine the most efficient implementation order for software projects.
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