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。
Identifies GDPR compliance risks and privacy violations within applications and data systems to ensure regulatory adherence.
Automates comprehensive security vulnerability scans and penetration testing for applications and APIs directly within Claude Code.
Identifies potential security vulnerabilities based on the OWASP Top 10 (2021) standards and provides actionable remediation guidance.
Deploys production-ready Genkit AI applications using Terraform across Google Cloud Platform services.
Automates the generation, management, and updating of environment-specific configurations and secrets for seamless software deployment.
Synthesizes capabilities from the Claude Code plugin ecosystem to automatically adapt and apply specialized patterns to any coding task.
Implements high-performance multi-tier caching architectures to optimize database query latency and reduce server load.
Performs automated security audits to identify vulnerabilities like SQL injection, XSS, and insecure dependencies within your codebase.
Automatically detects and loads project-specific AGENTS.md files to inject specialized behavioral rules into your Claude Code session.
Orchestrates multi-stage deployment pipelines and generates production-ready CI/CD configurations for various infrastructure environments.
Generates automated end-to-end browser tests using Playwright, Cypress, or Selenium to validate complex web application workflows.
Secures sensitive data and files through advanced encryption and decryption algorithms like AES and RSA.
Automates comprehensive security vulnerability testing and penetration assessments for web applications and APIs.
Automates the execution and management of complex integration test suites, including environment setup and database orchestration.
Optimizes application performance by implementing multi-tier caching strategies including Redis, in-memory L1 layers, and CDN integration.
Identifies and resolves performance bottlenecks across CPU, memory, database, and I/O operations to optimize application efficiency.
Conducts automated security vulnerability assessments and penetration tests on web applications and APIs.
Manages database replication, high availability, and failover configurations for PostgreSQL and MySQL.
Automates the process of fine-tuning and adapting pre-trained machine learning models for new datasets and tasks.
Analyzes project dependencies to identify security vulnerabilities, outdated packages, and license compliance issues across multiple ecosystems.
Optimizes database query execution by analyzing EXPLAIN plans and identifying performance bottlenecks like missing indexes or inefficient joins.
Automates the configuration and integration of MLflow and Weights & Biases to track machine learning experiments seamlessly.
Analyzes database EXPLAIN plans to pinpoint performance bottlenecks and provide actionable optimization strategies.
Accesses and generates production-ready Google Cloud code examples from official repositories for AI agents, machine learning, and cloud infrastructure.
Audits codebases and infrastructure configurations to ensure compliance with Payment Card Industry Data Security Standards (PCI DSS).
Manages environment-specific configurations and secrets across deployment stages with automated file generation and secure updates.
Automates the security hardening and validation of GitHub Actions workflows for Google Cloud and Vertex AI deployments using Workload Identity Federation.
Automates the generation of comprehensive Application Performance Monitoring dashboards for observability platforms like Grafana and Datadog.
Performs automated regression modeling and statistical data analysis to uncover variable relationships and predict future trends.
Generates comprehensive test reports with coverage metrics, performance trends, and stakeholder-ready exports in multiple formats.
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