Explore our collection of Agent Skills to enhance your AI workflow.
Generates realistic, schema-compliant test data including users, products, and complex business objects for software testing and development.
Validates web application security by identifying Cross-Site Request Forgery (CSRF) vulnerabilities and auditing protection mechanisms.
Automates mobile application testing across iOS and Android platforms using industry-standard frameworks like Appium and Detox.
Evaluates test suite effectiveness by introducing code mutations to identify coverage gaps and improve test quality.
Deploys end-to-end Firebase applications integrated with Vertex AI Gemini for secure, scalable, AI-powered backend features.
Validates Cross-Origin Resource Sharing (CORS) configurations to identify security vulnerabilities and ensure compliant implementation.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.
Automates production-ready configurations for service meshes like Istio and Linkerd to secure and manage microservices architecture.
Automates the creation of standardized, AI-generated Git commit messages following the Conventional Commits specification.
Enforces a mandatory Taskwarrior workflow for coding tasks, ensuring every action is decomposed, tracked, and timed.
Scans codebases and infrastructure configurations to identify potential HIPAA compliance violations and security vulnerabilities.
Identifies security vulnerabilities, known CVEs, and insecure configurations within your codebase and project dependencies.
Scans codebases and configurations to identify PII leaks, compliance risks, and potential data privacy vulnerabilities.
Trains, evaluates, and persists machine learning models using automated workflows for classification and regression tasks.
Tests and validates load balancing strategies, including traffic distribution, failover scenarios, and session persistence.
Automates the deployment and configuration of professional monitoring infrastructure including Prometheus, Grafana, and Datadog.
Identifies and remediates security vulnerabilities within infrastructure-as-code deployments and application configuration files.
Evaluates test suite effectiveness by injecting code mutations and measuring the survival rate of detected changes.
Analyzes text data to extract sentiment, keywords, and topics using advanced natural language processing techniques.
Analyzes network request patterns to identify latency bottlenecks and implement performance optimizations like request batching and connection pooling.
Orchestrates complex test workflows with dependency management and parallel execution to optimize software testing cycles.
Automates the scaffolding and validation of custom Claude Code plugins including marketplace integration and standardized directory structures.
Automates the scaffolding and marketplace integration of new Claude Code plugins, agents, and skills with standardized directory structures and validation.
Automates the end-to-end scaffolding, validation, and marketplace registration of new Claude Code plugins.
Automates the generation of production-ready auto-scaling configurations and policies for high-availability cloud infrastructure.
Validates load balancing configurations by testing traffic distribution, failover scenarios, and session persistence.
Automates the design, execution, and analysis of load, stress, and endurance tests to optimize system performance.
Automates the creation and management of isolated testing environments using Docker Compose and Testcontainers for consistent software validation.
Generates comprehensive unit tests across multiple frameworks by analyzing source code to identify critical scenarios and edge cases.
Forecasts future values and identifies temporal patterns in historical data using advanced statistical modeling.
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