Agent Skills Hub

terraform-module-library

Build production-ready, reusable Terraform modules for multi-cloud infrastructure. Includes standardized patterns for AWS, Azure, GCP, and OCI with built-in testing and validation.

snowflake-connections

Configure and manage Snowflake connections for CLI, Streamlit, and Snowpark environments, including authentication methods like SSO, key pair, OAuth, and profile management.

devops

Manage CI/CD workflows, Docker containerization, and infrastructure configurations for the multi-chain crypto wallet system.

review-collector

Automated compliance validation tool for collector bot packages using 8 specialized parallel agents.

WordPress Penetration Testing

Conduct automated security assessments of WordPress sites using WPScan, enumeration techniques, and vulnerability scanning for themes, plugins, and users.

indirect-injection-detection

Detects indirect prompt injection and goal hijacking in AI agents by evaluating how they process external content like RAG, documents, and web data.

legal-risk-assessment

Assess and classify legal risks using a severity-by-likelihood framework. Evaluate contract risk, deal exposure, and issue severity to determine if senior counsel or external review is required.

mcp-server-creator

Generate production-ready Stigmer McpServer YAML configurations for integrating external tools into your AI agents.

gitlab-ci-patterns

Implement professional GitLab CI/CD pipelines with multi-stage workflows, caching strategies, and Kubernetes deployment patterns for scalable automation.

skill-vetter

Security-first vetting protocol for AI agent skills. Detects red flags like credential theft, obfuscated code, and unauthorized data exfiltration before installation.

senior-data-engineer

World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.

test-environment-management

Manage test infrastructure with IaC, Docker, and service virtualization. Optimize testing costs, ensure dev/prod environment parity, and automate environment provisioning for consistent, scalable software testing.