Skill UI

This skill provides a comprehensive framework for conducting high-quality code reviews. It guides developers through checking code across four critical dimensions: Correctness (functional accuracy and edge cases), Maintainability (readability and documentation), Performance (efficiency and resource usage), and Security (input validation and vulnerability management). It also emphasizes providing actionable, constructive, and empathetic feedback.

This tool enforces four rigorous coding principles, inspired by Andrej Karpathy's insights on LLM pitfalls. It guides developers to surface assumptions, prioritize simplicity, make surgical changes, and define verifiable goals. Use it when reviewing code, checking diffs, or before committing to ensure high code quality and prevent over-engineering.

This guide outlines a robust, two-tier Continuous Integration (CI) strategy for validating Linktree link-in-bio API integrations. It utilizes mock unit tests to verify core functionality (link CRUD, reordering) without needing a live API key. Furthermore, it implements dedicated integration tests on the main branch merge, authenticating with a real Bearer token to confirm link ordering, analytics endpoints, and rate limit handling against the live Linktree API, ensuring production-ready code quality.

Comprehensive guide for setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines for Palantir Foundry integrations using GitHub Actions. This workflow covers running PySpark unit tests, performing SDK integration tests with mocked APIs, and implementing custom linting rules to enforce Foundry-specific best practices. Use this when ensuring code quality and validating complex business logic changes in an automated build process.

A comprehensive checklist for deploying Foundry-integrated applications to a production environment. It guides users through critical go-live procedures, covering pre-deployment credential management, rigorous code quality checks, setting up robust monitoring and alerting systems, and executing safe rollout and rollback strategies. Essential for ensuring system stability during major releases.

This skill facilitates an interactive Quality Assurance (QA) session. Users can conversationally describe encountered bugs or issues. The agent clarifies the problem, explores the codebase for context and domain language, and then meticulously files durable GitHub issues. It supports both single-issue reports and breaking down complex problems into multiple, independently verifiable tickets, ensuring developers receive actionable, high-quality reports written from the user's perspective.

This skill guides the setup of Continuous Integration and Continuous Deployment (CI/CD) pipelines for Salesforce projects using GitHub Actions. It covers automated metadata deployment, rigorous Apex unit testing, and integration testing, ensuring code quality and stability before every release. Key steps include configuring JWT authentication, setting up GitHub Secrets, and defining multi-stage workflows to validate and deploy changes across environments.

This guide implements comprehensive policy guardrails for robust Salesforce integrations. It provides solutions for preventing SOQL injection vulnerabilities, detecting hardcoded credentials, throttling API usage at runtime, and enforcing code quality via custom ESLint rules and CI/CD checks. Use this when building secure, scalable, and compliant Salesforce applications.

A comprehensive, step-by-step checklist for safely deploying Salesforce integrations to a production environment. This guide covers critical stages including pre-deployment configuration, sandbox validation, API limit planning, code quality enforcement, health endpoint checks, and detailed rollback procedures, ensuring smooth and reliable go-live.

This guide details how to implement robust pre-commit hooks using Husky, lint-staged, and Prettier. It ensures that code is automatically formatted, type-checked, and tested before being committed. This process is essential for maintaining consistent code quality and standardized development practices across a team.

This wrapper integrates Shopify's official AI Toolkit MCP server with Claude Code. It provides essential developer capabilities, including real-time GraphQL schema validation, Liquid template linting (checking for deprecated filters and anti-patterns), and instant search across Shopify's extensive documentation. Use this skill when setting up complex Shopify MCP integrations, ensuring code quality, or debugging API calls.

A comprehensive guide to setting up continuous integration and continuous deployment (CI/CD) pipelines for Webflow Data API v2 integrations using GitHub Actions. This setup automates unit testing (mocked SDK), robust integration testing with real API tokens, CMS schema validation, and reliable publish-on-merge workflows, ensuring code quality and consistency in your Webflow projects.