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。
Automates the creation of structured, descriptive git commits for autonomous development workflows.
Generates and standardizes production-ready Terraform modules for AWS, Azure, and GCP using infrastructure-as-code best practices.
Secures and automates the handling of sensitive credentials, API keys, and certificates within CI/CD pipelines.
Hardens Amazon EKS clusters using 2025 security best practices for infrastructure, workloads, and secrets management.
Bootstraps autonomous coding projects by generating comprehensive feature lists, scaffolding directory structures, and configuring development environments.
Provides specialized support for MATLAB and GNU Octave numerical computing, matrix operations, and scientific visualization.
Generates comprehensive product vision, MVP scoping, and market positioning documentation to align development teams.
Integrates Google Gemini's multimodal reasoning and automated CLI tools into Claude Code for advanced AI collaboration and research.
Automates Railway.com infrastructure management through the GraphQL v2 API for projects, services, and deployments.
Enhances the pull request process by providing structured feedback, identifying logic errors, and fostering collaborative knowledge sharing across development teams.
Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.
Orchestrates end-to-end autonomous coding workflows from initial specification to production-ready software.
Generates structured, phased prompts for complex development tasks with built-in milestone tracking and success criteria.
Performs automated risk assessment on logistics data by identifying formatting errors, hazardous materials, and dimensional flags.
Adapts Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.
Manages state snapshots and rollbacks to ensure safe, autonomous development cycles.
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.
Master complex TypeScript type logic including generics, conditional types, and mapped types to build production-grade, type-safe applications.
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.
Implements production-grade Kubernetes security using NetworkPolicies, Pod Security Standards, and fine-grained RBAC.
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.
Streamlines Svelte 5 development by providing instant documentation access and automated code analysis for components and modules.
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.
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