Skill UI

Scans infrastructure-as-code, application, and system configurations via the security-misconfiguration-finder plugin to expose vulnerabilities and compliance gaps, enabling proactive remediation before deployment.

Scans Android APKs for Firebase misconfigurations, testing databases, storage, authentication, and cloud functions to surface vulnerabilities during mobile security audits.

Automatically assists with generating Firebase security rules, offering best-practice guidance, template configurations, and validation checks tailored for GCP compute, storage, and data workloads.

Automates fixture generator tasks for test automation, offering best-practice guidance, ready-to-use code/configuration, and validation for unit, integration, and mocking scenarios.

Auto-activated guidance for flaky test detection within automated testing workflows, covering best practices, mocking, and configuration to stabilize unit and integration suites.

Automates Flask-based machine learning API deployment by guiding you through best practices, generating production code/configurations, and validating outputs for serving, monitoring, and MLOps pipelines.

Automated assistance for Flink job creation in data pipelines, triggered by Flink job creator requests. Guides ETL, streaming, and workflow orchestration, generates production-ready code/configurations, and validates outputs against industry standards.

Automates fluentd configuration generation for DevOps teams, guiding best practices across Kubernetes, Terraform, monitoring, and CI/CD while validating production-ready outputs.

Auto-activating skill that guides analysts through forensics data collector operations, aligning advanced security practices with compliance frameworks while generating validated code and configurations for enterprise deployments.

A comprehensive guide for deploying applications, especially those integrated with AI services like Gamma, to major cloud environments including Vercel, AWS, GCP, and GitHub. Covers best practices for secret management, environment variable configuration, and setting up CI/CD pipelines across various cloud architectures.

A comprehensive guide for configuring API access across distinct environments (Development, Staging, Production) for SaaS services. It details architectural patterns for separating workspaces, managing environment-specific secrets (e.g., using AWS Secrets Manager), and implementing environment guards to ensure code behaves correctly and securely in different stages of deployment. Ideal for CI/CD pipeline setup and robust client-side configuration.

Automates GC log analyzer workflows for performance testing by guiding load, stress, benchmarking, and monitoring efforts with best-practice advice and ready-to-use configurations.