Ci Cd

This skill provides a comprehensive verification workflow for Claude Code sessions. It runs build verification, type checking, linting, test suites with coverage, basic security scans for leaked secrets, and diff reviews to ensure code quality before creating pull requests.

This skill provides comprehensive guidance for automating changelog generation from commits, PRs, and releases. It covers Conventional Commits conventions, Keep a Changelog format, semantic versioning, and configuration examples for popular tools like semantic-release, standard-version, git-cliff, and commitizen.

A comprehensive guide for writing unit tests for shell scripts using Bats (Bash Automated Testing System). Covers test structure, assertions, mocking, fixtures, CI/CD integration, and best practices for production-grade shell testing.

This skill provides comprehensive guidance for implementing GitOps workflows using ArgoCD and Flux CD. It covers installation, repository structure, sync policies, progressive delivery strategies (canary and blue-green deployments), and secret management best practices for automated Kubernetes deployments.

This skill provides comprehensive guidance for setting up and configuring ShellCheck, a static analysis tool for shell scripts. It covers installation, configuration files (.shellcheckrc), common error codes and fixes, CI/CD integration patterns, and best practices for maintaining shell script quality.

This skill provides production-ready patterns and configuration templates for setting up and optimizing Nx monorepo workspaces. It covers workspace architecture, project boundaries, CI caching, custom generators, and module boundary enforcement with ESLint.

A comprehensive reference skill for designing multi-stage CI/CD pipelines. It covers deployment strategies (rolling, blue-green, canary, feature flags), approval gate patterns across different CI platforms, rollback automation, and pipeline monitoring best practices.

Provides production-ready GitHub Actions workflow templates for common CI/CD tasks including automated testing, Docker image building, Kubernetes deployments, matrix builds, and security scanning. Templates follow best practices with pinned action versions, caching, and reusable workflows.

This skill helps design and implement production-ready CI/CD pipelines with multi-stage workflows, approval gates, and deployment strategies. It provides templates for GitHub Actions and GitLab CI, covers secrets management with Vault/AWS/Azure/GCP, and includes security scanning, monitoring integration, and rollback automation patterns.

Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.

A comprehensive guide for using Semgrep, a fast static analysis tool for finding bugs and security vulnerabilities. Covers installation, custom rule writing, CI/CD integration with GitHub Actions, and best practices for security scanning without sharing code with third parties.

CodeQL is a powerful static analysis framework that queries code as a database for security vulnerabilities and code patterns. This skill provides comprehensive documentation on creating CodeQL databases, writing custom queries, integrating with CI/CD pipelines, and using the framework for interprocedural control flow and data flow analysis across C/C++, Go, Java, JavaScript, Python, and other supported languages.

A comprehensive skill for parsing and analyzing SARIF (Static Analysis Results Interchange Format) files from security scanning tools. It provides ready-to-use jq queries, Python helper functions for extracting findings, and best practices for aggregating, deduplicating, and integrating SARIF data into CI/CD pipelines.

A comprehensive Terraform and OpenTofu skill that provides best practices for module development, testing strategies (native tests and Terratest), CI/CD workflows, security compliance, and code patterns. It includes decision matrices for choosing testing frameworks, naming conventions, and detailed reference guides for production-grade infrastructure-as-code.

This skill provides comprehensive TypeScript development guidelines including strict compiler configuration, ESLint setup with type checking, Jest testing patterns, GitHub Actions CI/CD workflows, and pre-commit hooks. It documents best practices and anti-patterns to help maintain high code quality in TypeScript projects.

This skill helps developers set up and manage common deployment infrastructure. It provides verification scripts, authentication guides, and CI/CD templates for GitHub CLI, Vercel, Supabase, and Render platforms.

This skill provides comprehensive guidance for end-to-end testing with Playwright. It covers Page Object Model patterns, authentication handling, cross-browser testing, network mocking, visual testing, and CI/CD integration with GitHub Actions.

A comprehensive guide for integrating Google Gemini CLI into your code review workflow. Covers installation, authentication options, interactive and headless usage modes, and CI/CD integration with GitHub Actions and GitLab. Leverages Gemini 2.5 Pro's 1M token context window for analyzing large codebases.

This skill provides comprehensive documentation for using OpenAI's Codex CLI to perform automated code reviews. It covers installation, authentication, interactive and headless usage modes, and includes ready-to-use CI/CD integration examples for GitHub Actions, GitLab CI, and Jenkins pipelines.

A comprehensive code review skill that enforces automated code reviews before commits and deployments. It supports multiple AI engines (Claude, OpenAI Codex, Google Gemini) and provides integration patterns for pre-commit hooks and GitHub Actions CI/CD pipelines.

This skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or runs /create-pr or /pr-creator commands.

Merges GitHub Pull Requests after validating pre-merge checklist. Use when user wants to merge PR, close PR, finalize PR, complete merge, approve and merge, or execute merge. Runs pre-merge validation (tests, lint, CI, comments), confirms with user, merges with proper format, handles post-merge cleanup.

Creates GitHub Pull Requests with automated validation and task tracking. Use when user wants to create PR, open pull request, submit for review, or check if ready for PR. Analyzes commits, validates task completion, generates Conventional Commits title and description, suggests labels. NOTE - for merging existing PRs, use github-pr-merge instead.

Deploy your applications to Vercel directly from Claude Code. This plugin provides convenient commands for production deployments, log viewing, and project setup using the standard Vercel CLI.