applied-artificial-intelligence

Structured development workflow for systematic task completion - explore, plan, implement, and deliver. The Workflow plugin provides a proven 4-phase development methodology for Claude Code. It guides you from initial requirements exploration through systematic planning, task execution, and final delivery. This workflow ensures thorough analysis, organized implementation, and quality delivery. Cla

SQL query optimization patterns including EXPLAIN plan analysis, index strategies, query rewriting, and N+1 query prevention. Use when optimizing slow database queries, analyzing query performance, designing indexes, or debugging database bottlenecks. Works with PostgreSQL, MySQL, SQLite, and other SQL databases. Typical improvements: 10x-1000x query speedup.

Active memory management and maintenance for Claude Code framework. Keep project context fresh, organized, and relevant. The Memory plugin provides tools to manage Claude Code's persistent memory system. It helps you review memory state, update memory files interactively, and clean up stale entries. This ensures Claude maintains accurate, relevant context across sessions while avoiding outdated in

Version: 1.0.0 Purpose: Project initialization and Claude Code configuration The setup plugin provides commands for initializing Claude Code in new and existing projects, configuring user-level settings, and setting up project-specific configurations. Set up a new Python project with modern tooling and Claude framework integration. - Poetry or pip + venv support - pytest, black, ruff, mypy - .clau

Hierarchical content structure - answer first, then supporting arguments, then details

Narrative structure for complex topics - Situation, Complication, Question, Answer

API authentication patterns including JWT, OAuth 2.0, API keys, and session-based auth. Covers token generation, validation, refresh strategies, security best practices, and when to use each pattern. Use when implementing API authentication, choosing auth strategy, securing endpoints, or debugging auth issues. Prevents common vulnerabilities like token theft, replay attacks, and insecure storage.

Shared configuration patterns for project setup commands. Provides security hooks, Claude framework structure templates, and framework detection patterns used across multiple setup commands.

Purpose: Session boundary management and context handoffs This plugin handles transitions between Claude Code sessions, managing context preservation and continuation. Beyond just session continuity, transitions create an automatic project history: - Audit trail: Every session's decisions, changes, and reasoning are captured - Recovery: Pick up work days or weeks later with full context - Accounta

Code development and quality assurance tools for systematic analysis, testing, debugging, and review. The Development plugin provides essential tools for building high-quality code. It includes commands for codebase analysis, test-driven development, debugging, code execution, and comprehensive code review. Three specialized agents provide expert assistance for architecture, testing, and code qual

Initialize Claude Code framework infrastructure for any project

Docker image optimization patterns including multi-stage builds, layer caching, security hardening, and size reduction techniques. Use when building Docker images, optimizing container size, improving build performance, or implementing Docker security best practices. Reduces image sizes by 70-90% and build times by 50-80%.

Comprehensive guide to implementing RAG systems including vector database selection, chunking strategies, embedding models, and retrieval optimization. Use when building RAG systems, implementing semantic search, optimizing retrieval quality, or debugging RAG performance issues.

Purpose: System configuration and health monitoring Category: System Version: 1.0.0 The System plugin provides essential commands for configuring, monitoring, and maintaining Claude Code installations. These are system-level operations that configure or monitor Claude Code itself. Purpose: Unified view of work, system, and memory state Provides comprehensive status overview including: - Active wor

LLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing systematic evaluation, or measuring LLM performance.

Simplification and readability techniques. Use when writing for broad audiences or simplifying complex content. Covers active voice, short sentences, jargon elimination, and accessibility principles from the Plain Language Movement.

Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP tasks, or optimizing transformer inference.