單元測試

Expert Golang senior/lead developer dengan 20+ tahun pengalaman. Gunakan skill ini ketika bekerja dengan Go/Golang projects untuk membuat kode clean, maintainable, scalable, struktur folder production-grade, Docker containerization, debugging, mendeteksi celah crash/bug/race condition, code review standar senior engineer, testing strategies, performance optimization, dan library selection battle-tested. Trigger keywords include golang, go, docker, microservice, api, backend, clean code, refactor, debugging.

Agent SDK development utilities for creating, testing, and managing AI agents with comprehensive tooling and debugging capabilities.

Guide experienced developers through RED phase of TDD cycle - writing failing tests

Data quality testing with dbt tests, Great Expectations, and monitoring.

Comprehensive Ruby development skill covering language fundamentals, object-oriented design patterns, error handling strategies, performance optimization, modern Ruby 3.x features (pattern matching, ractors, typed Ruby), testing patterns, metaprogramming, concurrency, and Rails-specific best practices. Use when writing Ruby code, refactoring, implementing design patterns, handling exceptions, optimizing performance, writing tests, or applying Ruby idioms and conventions.

Comprehensive Azure DevOps REST API skill for work items, pipelines, repos, test plans, wikis, and search operations via MCP tools and direct API calls

A Claude Code skill for detecting flaky test patterns that cause intermittent CI failures.

Use this skill when analyzing EnergyPlus IDF building energy models, including QA/QC validation, HVAC topology analysis, ECM testing, or running simulations. Supports fast validation without Docker (direct parsing) and comprehensive analysis with MCP tools when needed. Handles Windows path formats, environment detection, and intelligent method selection. (project)

Deploys Apache Kafka on Kubernetes using the Strimzi operator with KRaft mode.Use when setting up Kafka for event-driven microservices, message queuing, or pub/sub patterns.Covers operator installation, cluster creation, topic management, and producer/consumer testing.NOT when using managed Kafka (Confluent Cloud, MSK) or local development without K8s.

Enforce test quality and prevent implementation shortcuts when writing or modifying code. Use when implementing features, fixing bugs, or refactoring code. Prevents test tampering (FP-1) and implementation shortcuts (FP-2).

Document placement rules, visibility protocols, and timeline test (before-code vs after-code). Defines where documentation belongs (dev/docs/ vs coordination/), documentation-first PR protocol, and phase artifact placement. Critical for documentation organization and visibility.

Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml).

Generate two distinct, AI-powered image variations for advertising campaigns using Google Gemini's image generation capabilities. Use when creating visual assets for ads based on campaign parameters and research insights. Triggers on requests to generate ad images, create visual assets, produce image variations for A/B testing, or develop platform-specific ad visuals.

Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies

Use this when user requests code review, pull request analysis, or quality assessment. Provides systematic 6-category checklist: functionality, security (OWASP), code quality (SOLID), performance, testing, and maintainability. Apply for PR reviews, security audits, or teaching code quality principles

Use when testing Nango syncs locally - runs dry-run command with proper parameters for integration testing without affecting production data

Implement production-grade caching with cache keys/TTLs/consistency classes per query, SWR (stale-while-revalidate), explicit invalidation, and comprehensive testing for stale reads and cache warmup. Use when adding caching to queries, implementing cache invalidation, or ensuring cache consistency and performance.

Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integration, authentication, error handling, testing, OpenAPI documentation, performance optimization, and common anti-patterns. Essential reference for FastAPI code reviews and development.

Analyze codebase health - large files, test coverage gaps, duplicate code, dead/legacy code, and documentation issues. Use when asked to scan, audit, or assess code quality, find refactoring targets, or identify technical debt.

This skill should be used when the user asks about "MCP tools", "Unity MCP", "enable tool groups", "which MCP tools", "create GameObject", "add component", "run Unity tests", "check scene hierarchy", "spawn agent for Unity", "MCP not working", or needs to coordinate Unity Editor operations via MCP.