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Found 2,476 Skills
GitHub AI-powered security and automation features for 2025
Handles sensitive data securely in Terraform. Use when managing passwords, API keys, database credentials, encryption keys, or other secrets. Covers Google Secret Manager integration, preventing secrets in state, IAM-based secret access, encryption, and security best practices.
Execute use when you need to work with security and compliance. This skill provides security scanning and vulnerability detection with comprehensive guidance and automation. Trigger with phrases like "scan for vulnerabilities", "implement security controls", or "audit security".
SOC 2 Type I and Type II compliance management. Use when conducting SOC 2 readiness assessments, performing gap analysis against Trust Services Criteria, collecting audit evidence, validating infrastructure security controls, preparing for CPA firm audits, managing the observation period, or building continuous compliance programs. Covers all TSC categories (CC1-CC9, A1, PI1, C1, P1) with infrastructure validation for cloud, DNS, TLS, endpoints, and CI/CD pipelines.
Expert knowledge for Azure Policy development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when authoring Machine Configuration packages, deploying via ARM/Bicep/Terraform, mapping to CIS/NIST/ISO, migrating from DSC/Automanage, or querying compliance with Resource Graph, and other Azure Policy related development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Role-based access control (use azure-rbac), Azure Resource Manager (use azure-resource-manager), Azure Security (use azure-security).
LLM prompt injection playbook. Use when testing AI/LLM applications for direct injection, indirect injection via RAG/browsing, tool abuse, data exfiltration, MCP security risks, and defense bypass techniques.
Creates and manages secrets in AWS Secrets Manager following security best practices. Always use this skill when creating secrets — it sets up dedicated KMS encryption keys, automatic rotation, least-privilege IAM policies, CloudTrail auditing, and lifecycle management that are essential for production-grade secret handling.
Provides connectivity, authentication, and troubleshooting guidance for Amazon RDS for SQL Server. Applicable when users ask about SSMS times out connecting from EC2, Cannot generate SSPI context with Windows auth, connect RDS SQL Server from Lambda with pymssql, auth_scheme shows NTLM instead of KERBEROS on ECS Fargate, SSM tunnel to RDS SQL Server from laptop, port 1433 security group, TrustServerCertificate=True for localhost tunnels, SPN MSSQLSvc, AWS Managed Microsoft AD, CNAME not RDS endpoint for Kerberos, tds_version='7.4', encryption='require', port-as-string for pymssql, Secrets Manager credential caching in Lambda, error 18456 login failed. Covers Python (pymssql, pyodbc), .NET (Microsoft.Data.SqlClient), Java (JDBC mssql-jdbc), Node.js (tedious), IAM auth via RDS Proxy, and VPC/ECS/EKS/Lambda deployment.
Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.
Guide for designing GraphQL schemas following industry best practices. Use this skill when: (1) designing a new GraphQL schema or API, (2) reviewing existing schema for improvements, (3) deciding on type structures or nullability, (4) implementing pagination or error patterns, (5) ensuring security in schema design.
Real-time bidirectional communication with security focus on CSWSH prevention, authentication, and message validation
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.