Skill UI

This advanced skill automates the entire lifecycle of cloud infrastructure deployment. Instead of manual documentation review, it researches current best practices across multi-cloud platforms (AWS, GCP, Azure), synthesizes a coherent deployment strategy, and generates production-grade Infrastructure as Code (IaC). It outputs comprehensive artifacts, including Terraform modules, Kubernetes manifests, CI/CD pipelines, monitoring setups, and cost estimates, ensuring secure and optimized deployment.

This guide identifies the most common and costly anti-patterns encountered when developing or integrating with Salesforce. It covers critical topics such as SOQL N+1 queries, proper API limit management, preventing SOQL injection, and optimizing data retrieval. Use this resource when reviewing existing Salesforce code, onboarding new developers, or auditing integrations to ensure best performance and scalability.

A comprehensive guide outlining production-ready reference architectures for building robust Salesforce integrations. Covers best practices for Node.js integration apps, SFDX metadata projects, and implementing modern event-driven sync patterns (e.g., CDC). Use this guide when designing complex Salesforce solutions, reviewing project structure, or establishing enterprise-level architectural standards.

A comprehensive tool for searching the Model Context Protocol (MCP) across various GitHub locations, including PRs, issues, and discussions. It allows users to track the full lifecycle of protocol specifications, from initial proposals to final merged changes. Furthermore, it facilitates deep dives into pull request reviews and comments, enabling the extraction of key maintainer rationales and design intent for accurate technical understanding.

This skill provides comprehensive SQL queries and procedures to analyze and optimize Snowflake usage costs. It covers budgeting via resource monitors, right-sizing compute warehouses, tuning auto-suspend settings, and minimizing storage costs. Use it when reviewing billing, implementing cost controls, or reducing credit consumption in your Snowflake environment.

This comprehensive guide provides step-by-step instructions for upgrading Snowflake drivers (Node.js and Python) and managing complex data warehouse migrations. It covers prerequisite checks, reviewing release notes, handling common API breaking changes (e.g., cursor types, async connections), and performing post-migration validation to ensure application stability during platform or edition upgrades.

This workflow details how to build a complete, browser-based Integrated Development Environment (IDE). Using WebContainers, it integrates key components like a file explorer, Monaco editor, integrated terminal, and live preview. This architecture is crucial for developing interactive coding playgrounds, educational web tools, or embedding robust development sandboxes into existing web applications.

This internal agent skill defines the structured procedure for displaying bug triage results in terminal markdown format. It generates comprehensive summaries of bug clusters, provides detailed views of evidence and reports, and handles the parsing and execution flow for user review commands (e.g., `details`, `file`, `dismiss`, `escalate`). It is a core component for automated bug triage and defect management workflows.

This module serves as the centralized catalog for administrative configurations within the Webiny API context. It provides key abstractions, such as AdminConfig, allowing developers to reliably access and manage application settings. Developers must import the specific abstraction and review the source file for accurate interfaces and types to ensure proper implementation.

This guide outlines a sophisticated development workflow using dedicated subagents for each independent task within a plan. It mandates a two-stage review process—first for specification compliance, then for code quality—ensuring highly reliable, high-quality, and rapidly iterative development cycles while maintaining strict context isolation.

This framework enforces high output quality, intellectual honesty, and continuous improvement across all AppSec agents. It mandates structured processes, including self-critique loops, anti-rationalization guards, and self-reflection quality gates (≥8 scoring). Applicable during code review, SAST, SCA, and threat modeling, it ensures rigorous and verifiable security analysis.

This comprehensive guide serves as a decision flowchart for developers using Claude Code. It details when to use specific slash commands (/plan, /compact, /loop), select specialized agents (planner, code-reviewer, build-error-resolver), or invoke workflow skills (e2e-testing, tdd-workflow). It helps users select the optimal tool combination for complex tasks across the entire software development lifecycle, including feature planning, bug fixing, testing, and architectural design.