patterns▌
190 indexed skills · max 10 per page
sql-optimization-patterns
sickn33/antigravity-awesome-skills · Productivity
$22
llm-app-patterns
davila7/claude-code-templates · AI/ML
Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.
godot-gdscript-patterns
wshobson/agents · Backend
Production-ready GDScript patterns for Godot 4 game architecture, state management, and performance optimization. \n \n Covers seven core patterns: state machines, autoload singletons, resource-based data, object pooling, component systems, scene management, and save systems with complete working examples \n Includes best practices for signal-based decoupling, static typing, caching node references, and avoiding allocations in hot paths \n Demonstrates performance optimization techniques like ob
kotlin-patterns
affaan-m/everything-claude-code · Productivity
Idiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.
prompt-engineering-patterns
wshobson/agents · Productivity
Advanced prompt engineering techniques for optimizing LLM performance, reliability, and structured outputs in production. \n \n Covers six core capability areas: few-shot learning with dynamic example selection, chain-of-thought reasoning with self-consistency, structured outputs via JSON and Pydantic schemas, iterative prompt optimization, reusable template systems, and role-based system prompt design \n Includes practical patterns for semantic example selection, self-verification workflows, pr
team-composition-patterns
wshobson/agents · Productivity
Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. \n \n Seven preset team configurations (Review, Debug, Feature, Fullstack, Research, Security, Migration) with recommended agent counts and types for common workflows \n Team sizing heuristic table matching task complexity (simple to very complex) with recommended team size (1–5 agents) and coordination overhead guidance \n Agent type selection guide covering general-purpose, read-only
springboot-patterns
affaan-m/everything-claude-code · Productivity
Spring Boot patterns for REST APIs, layered services, data access, caching, and async processing. \n \n Covers controller, service, and repository layers with Spring MVC/WebFlux, Spring Data JPA queries, and transactional boundaries \n Includes DTOs with validation, centralized exception handling via @ControllerAdvice , and RFC 7807 error responses \n Provides caching strategies with @Cacheable and @CacheEvict , async processing with @Async , and structured logging via SLF4J \n Demonstrates requ
multi-reviewer-patterns
wshobson/agents · Productivity
Coordinate parallel code reviews across multiple quality dimensions with deduplication and severity calibration. \n \n Allocates reviews across five dimensions (Security, Performance, Architecture, Testing, Accessibility) with recommended combinations for different code change types \n Deduplicates findings from multiple reviewers using merge rules based on file location and issue type, with conflict resolution for severity ratings \n Provides severity calibration criteria (Critical, High, Mediu
bats-testing-patterns
wshobson/agents · Testing
Comprehensive testing framework for shell scripts using Bats with patterns, fixtures, and CI/CD integration. \n \n Covers core Bats concepts including test syntax, assertion patterns for exit codes and output, and setup/teardown lifecycle management \n Provides mocking and stubbing strategies for external commands, functions, and environment variables to isolate units under test \n Includes fixture management patterns, error condition testing, and shell compatibility validation across bash, sh,
architecture-patterns
wshobson/agents · Productivity
Implement proven backend architecture patterns for maintainable, testable, and scalable systems. \n \n Covers three core patterns: Clean Architecture (layered dependency inward), Hexagonal Architecture (ports and adapters), and Domain-Driven Design (bounded contexts, aggregates, value objects) \n Includes complete directory structures, code examples, and implementation patterns for Python backends using FastAPI, asyncpg, and similar frameworks \n Demonstrates practical separation of concerns: do