Skill UI

A comprehensive, multi-phased workflow bundle designed for building production-grade AI and Machine Learning applications. It guides users through key stages, including AI application design, RAG implementation, autonomous agent development, robust ML pipelines, AI observability setup, and security hardening.

A comprehensive, multi-phased workflow bundle designed for building production-grade AI and Machine Learning applications. It guides users through key stages, including AI application design, RAG implementation, autonomous agent development, robust ML pipelines, AI observability setup, and security hardening.

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

A specialized workflow guide for comprehensive security testing of REST and GraphQL APIs. It systematically covers critical security aspects such as authentication validation (OAuth2, JWT), authorization checks (IDOR, privilege escalation), input validation (SQL/NoSQL injection), rate limiting enforcement, and secure error handling. Ideal for vulnerability assessment, bug bounty programs, and pre-deployment security audits.

Automates guidance for Attack Surface Analyzer within the Security Advanced domain, offering best practices, code snippets, and validation to help with penetration testing, compliance, and threat modeling workflows.

Automates guidance for Attack Surface Analyzer within the Security Advanced domain, offering best practices, code snippets, and validation to help with penetration testing, compliance, and threat modeling workflows.

This skill enables Claude to generate production-ready CI/CD pipeline configurations for major platforms, including GitHub Actions, GitLab CI, and Jenkins. It automates the entire software development lifecycle, supporting best practices for testing, building, security scanning, and multi-environment deployment. Use this when setting up automated software delivery workflows.

This skill functions as an expert in workflow automation, specializing in designing and implementing robust CI/CD pipelines and GitHub Actions workflows. It guides users through automating the entire development lifecycle—from building and testing to secure deployment. By establishing clear stages, handling secrets, and defining rollback strategies, it ensures consistency, reduces manual effort, and accelerates delivery while maintaining high quality and security standards.

A comprehensive workflow bundle covering the entire cloud-native development lifecycle. It guides users through critical phases, including cloud infrastructure setup (AWS, Azure, GCP, Terraform IaC), container orchestration with Kubernetes, robust CI/CD pipeline automation, observability implementation, security hardening, cost optimization, and disaster recovery planning. This ensures best practices across all stages of modern application deployment.

Automates CodeQL database builds, suite selection, and taint-aware scans to surface security and quality issues across supported languages, handling output directories, SARIF results, and extensions in one workflow.

This skill executes CodeRabbit's core workflow, providing automated, in-depth code reviews directly on pull requests. It analyzes code diffs based on custom rules (e.g., API validation, DB security), generates detailed walkthrough summaries, and posts line-level feedback. Ideal for setting up robust CI/CD quality gates and maintaining high code standards throughout the development lifecycle.