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docker-patterns is a collection of Docker and Docker Compose best practices for local development, container security, and multi-service orchestration.

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liquid-glass-design is an AI agent skill providing implementation patterns for Apple's iOS 26 Liquid Glass design system. It covers creating dynamic glass materials with content blur, environmental reflection, and touch-responsive morphing across SwiftUI, UIKit, and WidgetKit frameworks.

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regex-vs-llm-structured-text is a practical decision framework for parsing structured text using regex and LLM, handling 95-98% of cases cheaply and deterministically.

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tdd-workflow is an AI Agent Skill designed for Claude that enforces a strict Test-Driven Development methodology. It mandates writing tests before implementing code and ensures a minimum of 80% test coverage across unit, integration, and end-to-end (E2E) test types.

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backend-patterns is a set of techniques for designing and implementing efficient server-side architectures, including REST and GraphQL API endpoints

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content-hash-cache-pattern is an MCP skill that caches expensive file processing results using SHA-256 content hashes as cache keys. This provides a path-independent cache that survives file moves/renames and automatically invalidates when file content changes.

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django-tdd is a testing strategy for Django applications that utilizes TDD methodology, pytest-django, and factory_boy for efficient and robust testing of Django models, views, and serializers.

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springboot-security is a set of expert guidelines for securing Spring Boot applications, covering authn/authz, validation, CSRF, secrets, and dependency security.

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springboot-tdd is an AI agent skill that provides a structured test-driven development workflow for Spring Boot applications. It guides developers through writing tests first with JUnit 5 and Mockito, implementing minimal code, and enforcing code coverage with JaCoCo.

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swift-concurrency-6-2 is a concurrency model in Swift 6.2 that runs code single-threaded by default and introduces concurrency explicitly using @concurrent for background offloading and isolated conformances for main actor types.

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swift-protocol-di-testing is a protocol-based dependency injection approach for creating testable Swift code. It abstracts external dependencies like file systems, network calls, and external APIs behind focused protocols using Swift Testing, enabling deterministic tests without actual I/O operations.

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continuous-learning-v2 is an advanced learning system that turns Claude Code sessions into reusable knowledge through atomic instincts with confidence scoring