affaan-m/everything-claude-code

Solves the "context problem" in multi-agent workflows where subagents don't know what context they need until they start working.

Production-grade Django architecture patterns for scalable, maintainable applications.

A formal evaluation framework for Claude Code sessions, implementing eval-driven development (EDD) principles.

Use for data modeling, repositories, and performance tuning in Spring Boot.

Test-driven development for Django applications using pytest, factory_boy, and Django REST Framework.

Audit your Claude Code configuration for security issues using AgentShield .

Production deployment workflows and CI/CD best practices.

Standards for readable, maintainable Java (17+) code in Spring Boot services.

Safe, reversible database schema changes for production systems.

An interactive, step-by-step installation wizard for the Everything Claude Code project. Uses AskUserQuestion to guide users through selective installation of skills and rules, then verifies correctness and offers optimization.

Process documents with the Nutrient DWS Processor API . Convert formats, extract text and tables, OCR scanned documents, redact PII, add watermarks, digitally sign, and fill PDF forms.

A comprehensive verification system for Claude Code sessions.

Agent-focused testing workflow for modern C++ (C++17/20) using GoogleTest/GoogleMock with CMake/CTest.

Run before PRs, after major changes, and pre-deploy.

This is an example of a project-specific skill. Use this as a template for your own projects.

Comprehensive coding standards for modern C++ (C++17/20/23) derived from the C++ Core Guidelines . Enforces type safety, resource safety, immutability, and clarity.

Patterns for controlling LLM API costs while maintaining quality. Combines model routing, budget tracking, retry logic, and prompt caching into a composable pipeline.

Run before PRs, after major changes, and pre-deploy to ensure Django application quality and security.

Cache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves/renames and auto-invalidates when content changes.

A practical decision framework for parsing structured text (quizzes, forms, invoices, documents). The key insight: regex handles 95-98% of cases cheaply and deterministically. Reserve expensive LLM calls for the remaining edge cases.

Systematizes the "search for existing solutions before implementing" workflow.

Patterns for building thread-safe data persistence layers using Swift actors. Combines in-memory caching with file-backed storage, leveraging the actor model to eliminate data races at compile time.

Patterns for making Swift code testable by abstracting external dependencies (file system, network, iCloud) behind small, focused protocols. Enables deterministic tests without I/O.

Patterns for implementing Apple's Liquid Glass — a dynamic material that blurs content behind it, reflects color and light from surrounding content, and reacts to touch and pointer interactions. Covers SwiftUI, UIKit, and WidgetKit integration.