Unit Testing

THE MOST CRITICAL FEATURE FOR HODGES & FOOSHEE REALTY. Ultimate distressed property intelligence system tracking 22 distress signals across financial, life event, property, legal, and market categories. Self-improving AI that monitors performance, spawns specialized skills to fix bottlenecks, runs A/B tests, and continuously optimizes lead conversion. This is the game-changer that finds homeowners in crisis BEFORE anyone else does. Use for ALL lead generation tasks, pipeline optimization, multi-source data ingestion, and automated lead intelligence.

A skill for creating comprehensive Python unit tests using pytest. It provides guidance and templates for test structure, fixtures, mocking, parameterization, and coverage. Use this when you need to write unit tests for Python code, set up a testing environment with pytest, or apply testing best practices.

Production-ready policy template library: 48 battle-tested policies (28 Kyverno + 20 OPA). Pod security, image validation, RBAC, resource governance, network security, and CI/CD integration.

QA best practices and test design patterns. Use when designing test cases to ensure comprehensive coverage with equivalence partitioning, boundary analysis, and accessibility testing.

Transform Replit prototypes into production-grade applications following DHEPdevelopment standards. Automates TypeScript migration, testing setup, CI/CDconfiguration, and GitHub publishing. Handles full-stack web apps and datascience projects.USE WHEN user says 'transform replit', 'productionize', 'convert to production','replit to production', 'make production-ready', 'prototype to production','*transform', or has a Replit prototype needing professional architecture.

Production-ready Go microservices patterns including Gin, Echo, gRPC, clean architecture, dependency injection, error handling, middleware, testing, Docker containerization, Kubernetes deployment, distributed tracing, observability with Prometheus, high-performance APIs, concurrent processing, database integration with GORM, Redis caching, message queues, and cloud-native best practices.

Design, configure, launch, and analyze ablation sweeps for GRPO training. Use for hypothesis testing, hyperparameter experiments, and systematic comparisons.

Probe and test SDR hardware capabilities (RTL-SDR, SDRplay, HackRF, etc.). Use when verifying device detection, discovering supported sample rates and gains, testing antenna ports, or troubleshooting SDR hardware issues.

Emacs Lisp development best practices including file templates, project structure, testing, and coding style. Use when writing Emacs Lisp packages or configuration.

Auto-triggered debugging skill for bug/issue diagnosis and fix. Runs systematic root cause analysis, unit tests, deep tracing, and implements fixes.

Platform inventory, strategy discovery, backtesting, and optimization workflows for this trading project. Use when asked about strategies, backtesting, or what's available.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

Generate and run tests for TypeScript/JavaScript code using Bun test runner. Use this skill when you need to write tests, check coverage, or debug test failures.

Systematic debugging framework ensuring root cause investigation before fixes. Includes four-phase debugging process, backward call stack tracing, multi-layer validation, and verification protocols. Use when encountering bugs, test failures, unexpected behavior, performance issues, or before claiming work complete. Prevents random fixes, masks over symptoms, and false completion claims.

Python development guidelines for modern Python projects. Use when creating Python modules, classes, functions, scripts, or working with type hints, pytest, packaging (pip/poetry), virtual environments, async/await, data classes, or Python best practices. Covers project structure, typing, testing patterns, error handling, logging, and Pythonic idioms.

Migrate pyproject.toml from pre-PDM 2.0 syntax to modern PEP-compliant format. Focuses on dev-dependencies to dependency-groups conversion and PEP 621 project metadata. Integrates with Context7 for latest PDM documentation.

Comprehensive guide for testing Vue 3 applications with Playwright (2025). This skill should be used when writing end-to-end tests or component tests for Vue apps, testing Vue Router navigation, reactive state changes, authentication flows, or setting up Playwright in Vue projects.

测试规范与最佳实践。Use when writing unit tests, integration tests, or component tests. Triggers on: creating test files, using Vitest, Testing Library, mocking, test organization questions.

Control kitty terminal via remote protocol and kitty-test-harness; launch panels/windows, send keys, capture screen, manage sockets, and debug remote-control failures when testing TUIs.

Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspectives to improve decision quality.