Skill UI

The API Design Reviewer provides comprehensive automated analysis of REST API designs using OpenAPI specifications. It performs linting for convention adherence, detects breaking changes between versions, and generates a design scorecard across consistency, security, and usability. Ideal for reviewing PRs, auditing API migrations, or establishing robust development standards.

This comprehensive skill uses industry-standard tools like Prettier to automatically format and validate code files across multiple languages (JavaScript, TypeScript, JSON, CSS, Markdown, etc.). It ensures code style consistency, improves readability, and helps maintain a clean, professional codebase. Use it when needing to "format my code," "check formatting," or enforce code style across a project.

Coordinates a repeatable pre-PR or pre-release workflow for Django apps, covering environment validation, linting, formatting, migrations, tests with coverage, security scans, performance validation, and static asset readiness to ensure deployment confidence.

A mandatory workflow for ensuring high code quality across multiple ecosystems, including Node.js/TypeScript and Python. This pipeline runs static analysis tools—such as linters, type checkers (MyPy, tsc), and security scanners (Bandit)—after every code change. It mandates that no task is considered 'done' or committed until all validation checks pass, resolving style, syntax, and type mismatches.

A comprehensive workflow bundle designed for system administrators and developers. It guides users through the entire lifecycle of system management and shell scripting across Linux, macOS, and Windows. Key phases include environment assessment, writing robust Bash scripts, advanced debugging techniques, linting with ShellCheck, and rigorous test automation using Bats, ensuring scalable and reliable automation.

A comprehensive guide to configuring and utilizing ShellCheck for static analysis of shell scripts (Bash, sh, POSIX). This tool detects common programming pitfalls, enforces best practices, and helps ensure script reliability and portability. Ideal for setting up linting in CI/CD pipelines, pre-commit hooks, or maintaining code quality standards across a development team.

This skill facilitates the rapid installation and comprehensive configuration of essential extensions for the Windsurf IDE. It covers critical development aspects including language support, code linting, formatting, Git integration, and various productivity tools. Use this skill to set up, customize, or upgrade a cohesive and highly productive development workspace.

This skill provides comprehensive, AI-assisted linting configuration for ensuring high code quality standards. It assists with setting up and integrating major linting tools (such as ESLint, Prettier, and Stylelint), helping resolve complex configuration conflicts, suggesting best practices based on project patterns, and fully automating code quality enforcement across the development lifecycle. Use this when establishing or refining coding standards for a project.

This guide outlines critical reliability patterns for integrating advanced AI coding assistants into professional development workflows. It emphasizes best practices such as mandatory Git checkpointing, utilizing dedicated feature branches, breaking large tasks into incremental steps, and implementing comprehensive validation gates (linting, testing). Use this when developing fault-tolerant, AI-assisted applications to prevent accidental code breaks and maintain project stability.

This skill guides users on setting up automated code quality gates directly at the Git level. It covers best practices using frameworks like Husky, lint-staged, and pre-commit. Users can enforce linting, formatting, type-checking, and standardized commit message conventions (e.g., Conventional Commits) before code is committed or pushed, significantly improving code hygiene and development workflow consistency.

Automates CI/CD pipeline setup, from linting and type checks to integration, E2E, security, and deployment stages, plus feedback loops for AI agents and preview deployments.

A comprehensive guide for setting up production-grade CI/CD pipelines for Go projects using GitHub Actions. It covers all critical stages: unit testing (with race detection), linting, static application security testing (SAST), vulnerability scanning, automated dependency updates (Dependabot/Renovate), Docker image builds, and automated releases via GoReleaser. Ideal for DevOps engineers establishing or improving Go project quality gates.