Explore our collection of Agent Skills to enhance your AI workflow.
Monitors and optimizes application resource consumption including CPU, memory, and database connections to improve performance and reduce costs.
Detects and remediates SQL injection vulnerabilities by analyzing code patterns, input vectors, and query contexts to ensure database security.
Identifies Cross-Site Request Forgery (CSRF) vulnerabilities by validating protection mechanisms like synchronizer tokens and SameSite cookie attributes.
Guides the end-to-end security incident response lifecycle from initial classification to recovery and post-incident analysis.
Researches technical topics online and automatically converts findings into structured GitHub issues for task tracking.
Automates cross-browser and cross-device testing to ensure consistent web application performance and visual fidelity.
Automates the end-to-end process of setting up environments, seeding databases, and executing integration test suites for complex software systems.
Validates load balancing strategies, including traffic distribution, failover scenarios, and session persistence across backend servers.
Measures test suite quality by introducing code mutations and identifying gaps in logic coverage.
Executes critical application smoke tests to verify system health and core functionality after deployments or updates.
Generates automated mocks, stubs, spies, and fakes to isolate code units for efficient unit testing.
Analyzes code coverage metrics and identifies untested code paths to ensure high software quality and test suite effectiveness.
Orchestrates isolated testing infrastructures using Docker Compose and Testcontainers for consistent and reproducible software validation.
Generates comprehensive unit tests and automated mocks for multiple programming languages and testing frameworks.
Provisions enterprise-grade Vertex AI Agent Engine infrastructure using Terraform and secure VPC configurations.
Provisions production-grade Google Cloud and Firebase infrastructure for Genkit AI applications using Terraform.
Persists project context and architectural decisions across Claude Code sessions to provide consistent, context-aware assistance.
Orchestrates complex multi-agent systems and intelligent task routing using the Vercel AI SDK v5.
Automates the design, execution, and analysis of load, stress, and endurance tests to optimize system performance.
Deploys end-to-end Firebase applications integrated with Vertex AI Gemini for secure, scalable, AI-powered backend features.
Automates the management and synchronization of the Claude Code plugin marketplace catalog system.
Ensures Claude Code plugins meet repository standards by validating structure, schemas, and security compliance.
Architects, implements, and deploys production-grade AI applications using Firebase Genkit across Node.js, Python, and Go.
Evaluates test suite effectiveness by introducing code mutations to identify coverage gaps and improve test quality.
Identifies security vulnerabilities, known CVEs, and insecure configurations within your codebase and project dependencies.
Simplifies SOC2 audit preparation by automating evidence gathering, identifying compliance gaps, and generating readiness reports.
Automates the creation and management of isolated testing environments using Docker Compose and Testcontainers for consistent software validation.
Automates the orchestration of isolated, reproducible test environments using Docker Compose and Testcontainers.
Automates the management, synchronization, and validation of plugin marketplace catalogs within the Claude Code ecosystem.
Orchestrates complex test workflows with dependency management and parallel execution to optimize software testing cycles.
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