Custom Claude

Implements zero-downtime deployments on GKE using rolling updates, blue-green strategies, and health checks. Use when deploying new versions, rolling back failed deployments, configuring Spring Boot health probes (liveness/readiness), managing rollout status, or implementing progressive rollout patterns. Includes automated health verification and rollback procedures.

Creates and manages Cloudflare Access service tokens for automated infrastructure verification and non-human access. Use when setting up automation, verification scripts, monitoring systems, or need to test services without Google OAuth. Triggers on "create service token", "setup automation access", "verify without OAuth", "automated monitoring", or "service token for testing". Works with Cloudflare Access Service Auth, .env credential storage, and cf-service-token.sh script for testing and management.

Configures Gradle with Spring Boot projects including plugin setup, bootable JAR creation, layered JARs for Docker optimization, and multi-module Spring Boot configurations. Use when asked to "set up Spring Boot with Gradle", "create executable JARs", "configure Docker layering", or "set up Spring Boot microservices".

Provides comprehensive guide for adding services to dependency injection Container using dependency-injector library patterns including Singleton vs Factory vs Dependency providers, override patterns for testing, and circular dependency detection. Use when creating new service, adding dependency to Container, debugging circular dependency errors, or wiring components for injection.

Runs ruff linting and formatting with configuration details and common fixes. Use when checking code style, formatting files, fixing lint violations, or before commits. Explains ruff check vs ruff format, --fix flag, configuration in pyproject.toml, and common violation patterns. Works with Python .py files, targets Python 3.12.

Optimizes Gradle build performance through caching strategies, configuration cache, parallel execution, and memory tuning to achieve 50-80% faster builds for large projects. Use when builds are slow (>2 minutes), optimizing CI/CD pipelines, or configuring new Gradle projects. Triggers on "speed up Gradle", "slow builds", "optimize CI/CD", "reduce build time", or "configure Gradle performance". Works with gradle.properties, build.gradle.kts, GitHub Actions, and GitLab CI configurations using build cache, configuration cache, and parallel execution.

Analyzes Java code against industry best practices and evaluates design principles including SOLID, exception handling, thread safety, and resource management. Reviews naming conventions, Stream API usage, Optional patterns, and general code quality. Use when reviewing Java files, checking code quality, evaluating exception handling, or auditing resource management.

Create factory fixture patterns for customizable test setup with variations. Use when building reusable test fixtures with multiple configurations, creating parameterizable mocks, or implementing test data builders. Works with pytest fixtures, mock objects, and test utilities. Enables DRY test setup while maintaining flexibility for edge cases.

Replaces direct ODBC database writes and backend connections with proper API-based integration patterns. Use when migrating code that directly modifies Lotus Notes databases via ODBC, converting backend connections to HTTP APIs, implementing proper request/response patterns, or establishing secure data synchronization.

Systematic resolution of pyright/mypy type errors with categorization and fix templates. Use when pyright fails, type errors are reported, adding type annotations, or enforcing type safety. Analyzes Python type errors, categorizes them (missing annotations, incorrect types, generic issues, Optional/None handling), and applies fix patterns. Works with .py files and pyright output.

Performs comprehensive security audits of Java code against OWASP Top 10 and best practices. Use when auditing security, checking for vulnerabilities, analyzing SQL injection risks, preventing XSS attacks, reviewing authentication/authorization, detecting sensitive data exposure, checking dependency vulnerabilities, ensuring OWASP compliance, or hardening Java applications. Works with Java web applications, REST APIs, Spring applications, and any Java codebase.

Testing adapters and gateways: when to use unit test mocks vs testcontainers, mocking HTTP responses (aioresponses, responses), mocking Kafka messages, mocking ClickHouse responses, testing error paths and edge cases. Use when: Testing gateways and adapters, testing external service integrations, deciding between mocks and real containers, testing error handling in adapters, integration testing with real services.

Auto-generate constructor validation tests from service class signatures. Use when creating tests for new services, validating fail-fast principle, ensuring constructor validation, or testing required parameters. Analyzes service __init__ methods and generates pytest.raises(ValueError) tests for each required parameter. Works with Python service classes following dependency injection pattern. High automation opportunity (100+ test classes use this pattern).

Tests custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles and histograms, or asserting metric behavior without full Spring context. Essential for ensuring metrics are accurately recorded in business logic.

Verifies that implemented code is actually integrated into the system and executes at runtime, preventing "done but not integrated" failures. Use when marking features complete, before moving ADRs to completed status, after implementing new modules/nodes/services, or when claiming "feature works". Triggers on "verify implementation", "is this integrated", "check if code is wired", "prove it runs", or before declaring work complete. Works with Python modules, LangGraph nodes, CLI commands, API endpoints, and service classes. Enforces Creation-Connection-Verification (CCV) principle.

Create async context managers for resource management using @asynccontextmanager decorator. Use when managing async resources, database sessions, file handles, connections, or any resource requiring automatic cleanup. Works with Python async/await patterns. Analyzes .py files with async with statements, AsyncIterator type hints, and try/finally patterns.