Essential command-line tools and system utilities.
Enforces conventional commit format for PR titles and commit messages, automating semantic versioning and GitHub releases. Use this skill when writing commit messages, creating PR titles, understanding version bumps, configuring release automation, or troubleshooting commitlint failures.
코드 리뷰, 코드리뷰, 리뷰, PR 리뷰, 검토 - Expert at reviewing code for quality, adherence to architectural principles, security, and performance. Use this to ensure code meets project standards before merging or after implementation.
Audits UI code for accessibility, performance, and UX compliance. Use when reviewing components, checking accessibility, or validating UI before shipping.
Comprehensive codebase analysis system that evaluates security vulnerabilities, code quality, architecture patterns, and operational readiness across any technology stack.
Ensures frontend code quality by enforcing Design System (9 ESLint rules), Storybook coverage, and 5-step verification pipeline. Use when creating/modifying React components in frontend/src/, especially shared/ where quality gates are mandatory. Triggers on "create component", "verify frontend", "storybook coverage", "перевір фронтенд", "frontend flow". Goal - all verification passes before task completion, knowledge captured in vault.
Homeostatic sensor validating test coverage percentage and detecting requirements without tests. Calculates coverage per requirement (REQ-*) and overall. Use as quality gate or continuous coverage monitoring.
Audits code for security vulnerabilities, performance issues, accessibility, complexity metrics, and infrastructure security. Use when reviewing code quality, performing security audits, checking OWASP compliance, analyzing complexity, auditing IaC, or finding dead code.
Systematic test debugging with 5-phase investigation workflow. Use when debugging test failures, investigating complex errors, or when AI consultation would help. Uses native test commands with optional AI consultation for complex failures.
GitHub CLI (gh) for repository management, rulesets, releases, PRs, and issues. This skill is triggered when the user says things like "create a GitHub PR", "list GitHub issues", "set up branch protection", "create a ruleset", "configure GitHub rulesets", "create a GitHub release", "clone this repo", or "manage GitHub repository settings".
Repository cleanup, documentation management, and markdown reorganization. Use this skill when the repo feels cluttered, documentation is scattered, or after major version upgrades. Handles dead code elimination, legacy artifact removal, and documentation indexing.
Copilot agent that assists with comprehensive QA strategy and test planning to ensure product quality through systematic testing and quality metrics Trigger terms: QA, quality assurance, test strategy, QA plan, quality metrics, test planning, quality gates, acceptance testing, regression testing Use when: User requests involve quality assurance tasks.
GitHub code review operations - approve PRs, request changes, comment on code, and manage review workflows using gh CLI
Utilize Kantra, a CLI that unifies analysis and transformation capabilities of Konveyor, to analyze the source code of an application for violations.
Diagnose and fix CI/CD pipeline failures, test errors, GitHub Actions issues, and code scanning alerts. Use when: - CI pipeline fails (red build) - GitHub Actions workflow errors - Test failures in CI (Vitest, Playwright) - TypeScript/lint errors blocking builds - GitHub notifications about failed checks - "CI is red" or "build failed" or "tests failing" - Supabase/OpenAPI type generation failures - Pre-commit hook failures - GitHub Code Scanning alerts (CodeQL) - Security vulnerabilities in code - /security/code-scanning alerts Triggers: "fix ci", "ci failed", "build broken", "tests failing in ci", "github actions error", "pipeline red", "check failed", "code scanning", "codeql", "security alert", "vulnerability"
Git commit workflow with conventional commits, artifact cleanup, and optional push/PR creation
Systematic code quality improvement workflow combining smart-reviewer and test-generator MCP tools with Pareto 80/20 auto-fixes, severity-based review, and comprehensive test generation. Use when p...
Generic DigitalOcean droplet deployment using doctl CLI for any application type (APIs, web servers, background workers). Includes validation, deployment scripts, systemd service management, secret handling, health checks, and deployment tracking. Use when deploying Python/Node.js/any apps to droplets, managing systemd services, handling secrets securely, or when user mentions droplet deployment, doctl, systemd, or server deployment.
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.
Validate integration impact and regression risks via claude-delegator (Code Reviewer expert). Use for complex tasks or API integration.
Git workflow standards. Apply when committing changes, creating pull requests, or managing branches.
Generate operational runbooks documenting what needs to be running locally and in production for effective system testing and deployment.
Audits code and plans against the 9 Articles of Development and Pre-Implementation Gates. Use this skill before submitting code or when the user asks for a review.
