Skill UI

Analyzes a website’s HTTP security headers to identify missing or misconfigured directives, then produces a graded report with scores and recommendations for strengthening protections against common web threats.

Argocd App Deployer is an auto-activating assistant for advanced DevOps operators working with Argo CD deployments. Mention “argocd app deployer” or request deployment best practices to get step-by-step recommendations, production-ready configs, validation, and guidance spanning Kubernetes, Terraform, Helm, monitoring, and IaC patterns.

Argocd App Deployer is an auto-activating assistant for advanced DevOps operators working with Argo CD deployments. Mention “argocd app deployer” or request deployment best practices to get step-by-step recommendations, production-ready configs, validation, and guidance spanning Kubernetes, Terraform, Helm, monitoring, and IaC patterns.

Systematic code maturity assessment using Trail of Bits' 9-category framework, analyzing arithmetic safety, access controls, documentation, MEV risks, testing, and more to deliver evidence-backed scorecards and actionable recommendations.

Automated AWS skill that activates when you invoke cost optimization analyzer, offering guided best practices, code/config validation, and recommendations across compute, storage, networking, and serverless domains.

This specialized skill acts as an expert debugger, designed for deep root cause analysis of software errors, test failures, and unexpected behavior. It guides the user through systematic debugging processes, including capturing stack traces, isolating failure points, implementing minimal fixes, and providing comprehensive reports detailing the root cause, evidence, specific code patches, and prevention recommendations. Ideal for complex bug resolution and quality assurance.

Detects memory usage issues by scanning code for common leak patterns, such as lingering listeners, closures holding references, or runaway caches, and provides recommendations to fix them before performance degrades.

Provides automated guidance for Google Cloud Storage lifecycle policy scenarios, including pattern recommendations, production-ready configurations, and best practices for compute, storage, BigQuery, Vertex AI, and other GCP-specific services.

Analyzes smart contract codebases against Trail of Bits development guidelines, covering documentation, architecture, upgradeability, proxy patterns, implementation quality, dependencies, and testing to deliver prioritized recommendations and actionable improvements.

This skill provides a complete guide to deploying a containerized OpenEvidence clinical evidence integration service using Docker. It establishes a HIPAA-conscious production environment, enabling secure connections to the OpenEvidence API. Users can query clinical evidence, retrieve summarized medical literature, and validate treatment recommendations, all while maintaining audit logging and data-at-rest encryption compliance. Includes setup for health checks and rolling updates.

This SDK provides comprehensive, production-ready patterns for interacting with the OpenEvidence clinical evidence API. It enables developers to efficiently query medical literature, retrieve clinical guidelines, and generate evidence-based recommendations. Key features include a singleton client for consistent authentication, robust error wrappers (handling retries, invalid keys), and structured data models designed to ensure audit compliance and detailed citation provenance in complex healthcare applications.

This skill enables the coordination of multiple specialized AI agents within a single session. It is designed for complex, multi-domain tasks such as comprehensive code reviews, security audits, or full-stack feature implementations. It coordinates expertise across various domains (backend, frontend, testing, architecture) to provide holistic analysis and actionable recommendations.