patterns▌

Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.

API design principles and decision-making for 2025. Learn to THINK, not copy fixed patterns.

Lightweight service mesh patterns for Kubernetes with automatic mTLS and zero-trust networking. \n \n Covers installation, namespace injection, and core resources including ServiceProfile for per-route metrics, TrafficSplit for canary deployments, and Server/ServerAuthorization policies for access control \n Includes templates for mesh setup, traffic splitting, retry configuration with budgets, multi-cluster linking, and HTTPRoute-based advanced routing \n Provides monitoring and debugging comma

Docker and Docker Compose patterns for local development, multi-service orchestration, and container security. \n \n Covers multi-stage Dockerfiles with dev, build, and production targets; Docker Compose configuration for web app stacks with PostgreSQL, Redis, and Mailpit; and override files for environment-specific settings \n Includes service discovery via container networking, custom network isolation, and volume strategies (named volumes, bind mounts, anonymous volumes) for data persistence

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The Model Context Protocol (MCP) lets AI assistants call tools, read resources, and use prompts from your server. Use this skill when building or maintaining MCP servers. The SDK API evolves; check Context7 (query-docs for "MCP") or the official MCP documentation for current method names and signatures.

ES6+ syntax and functional programming patterns for writing clean, modern JavaScript. \n \n Master arrow functions, destructuring, spread operators, template literals, and enhanced object syntax for concise, readable code \n Implement async/await and Promise patterns for handling asynchronous operations, with combinators like Promise.all and Promise.race \n Apply functional programming techniques including map, filter, reduce, higher-order functions, composition, and pure functions for data tran

Systematic threat identification using the STRIDE methodology for security analysis and documentation. \n \n Covers six threat categories (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege) with specific questions and control families for each \n Includes ready-to-use templates for threat model documents, data flow diagram analysis, and risk assessment matrices with prioritization \n Provides Python utilities for automated threat enumeration, que

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust Python applications. \n \n Covers core principles including readability, explicit code, EAFP exception handling, and modern type hints with generics and protocols \n Includes practical patterns for error handling, context managers, comprehensions, generators, dataclasses, and decorators with runnable examples \n Addresses concurrency patterns for I/O-bound (threading, async/await) and CPU-bound (multiprocessing)

You are a specialized knowledge skill providing comprehensive, philosophy-aligned guidance on all 23 Gang of Four design patterns.