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2026-03-18Claude CodeAI CodingDeveloper ToolsOpen SourceProductivity

Giving Claude Code a Brain Transplant — 108 Skills, 57 Commands, and an 83K-Star Performance System

Everything Claude Code, an Anthropic hackathon winner, has surpassed 83,000 GitHub stars. It's a system that maximizes AI coding assistant performance with 108 specialized skills, 57 slash commands, and 12 sub-agents.


If you're using the AI coding assistant Claude Code but feel like you're not getting its full potential, this project is the answer. Built by a developer who used Claude Code in production every day for 10 months, Everything Claude Code (ECC) has surpassed 83,377 GitHub stars, gaining 2,716 stars per day. It's also the official winner of an Anthropic hackathon.

Everything Claude Code - Anthropic hackathon winner announcement tweet

Not Just a Config File — It's a Performance Operating System

ECC is essentially an extended brain that plugs into Claude Code. It's not a simple collection of configuration files — it's a system that methodically manages the entire process of AI writing, reviewing, and deploying code. Here are its core components.

ECC Core Components

108 Specialized Skills
Task-specific instructions across backend, frontend, security, business, and more
57 Slash Commands
One-line execution: /tdd, /plan, /code-review, /e2e, and more
12 Sub-Agents
Dedicated AI workers: architect, code reviewer, security auditor, and more
Auto-Learning Memory
Maintains context across sessions, automatically extracts patterns, and scores reliability

It Automatically Picks the Right AI Model for Each Task

One of ECC's most impressive features is automatic AI model selection based on task type. It uses the fast and affordable Haiku for simple tasks like file searches, and the deeper-reasoning Opus for complex architecture decisions. The table below shows the strategy.

AI model selection strategy by task type — Haiku for exploration, Opus for architecture, Sonnet for coding

For example, file exploration uses Haiku (fast and cheap), multi-file coding uses Sonnet (optimized for coding), and security analysis or complex bug fixes use Opus (deep reasoning capabilities). It's a strategy that saves costs while maintaining quality.

Chain Refactoring, Testing, and Deployment with a Single Command

ECC's slash commands support chaining (sequential execution). As shown in the screenshot below, a single instruction can automatically run "code cleanup → test coverage check → full test suite" in sequence.

Screen showing chained execution of /refactor-clean → /test-coverage → /e2e commands in Claude Code

Here are some commonly used command combinations:

  • /plan → Create a task plan
  • /tdd → Test-driven development (a methodology where you write tests first, then build code to pass them)
  • /code-review → AI reviews your code and flags issues
  • /build-fix → Automatically fixes build errors (issues that occur when compiling code into a runnable program)
  • /security-scan → Scans for security vulnerabilities

Run 5 Claudes Simultaneously with Parallel Workflows

ECC also provides a strategy for running multiple Claude instances simultaneously using git worktrees (a feature that creates multiple copies of the same project so you can work on them at the same time). The approach involves assigning different tasks across five terminal tabs.

Terminal screen showing 5 Claude Code instances running parallel tasks simultaneously

This method, shared by Anthropic's Boris Cherny, has surpassed 1 million views. ECC packages this workflow into structured guides and automation hooks (scripts that run automatically at specific trigger points).

It's Not Just for Claude Code

ECC isn't exclusive to Claude Code. It supports all major AI coding tools, including Cursor, OpenAI Codex, OpenCode, and Antigravity. Set it up once, and you can use the same skills and commands across any AI coding tool.

Language support is also broad, covering TypeScript, Python, Go, Java, C++, Swift, PHP, and Perl. Each language has its own optimized coding rules and review guidelines.

Extensibility Through a Plugin System

Claude Code plugin interface showing MCP connection status

ECC can also be installed from Claude Code's official plugin marketplace. It currently has over 150 GitHub App installations and is a stable system that has passed 997 internal tests.

How to Install

Installation takes just two steps.

# Step 1: Install the plugin
/plugin marketplace add affaan-m/everything-claude-code
/plugin install everything-claude-code@everything-claude-code

# Step 2: Install rules (choose your language)
git clone https://github.com/affaan-m/everything-claude-code.git
cd everything-claude-code
npm install
./install.sh typescript  # python, golang, swift, php also available

# Step 3: Start using it
/everything-claude-code:plan "Add user authentication feature"

What the Anthropic Hackathon Win Means

ECC isn't just a project with a lot of stars. Winning the official Anthropic hackathon means the company that built Claude itself recognized this as "the best way to get the most out of Claude Code."

Creator Affaan Mustafa systematized the know-how he accumulated by building real products with Claude Code every day for 10 months. It contains battle-tested answers to questions like "which model to use in which situation, how to distribute tasks, and how to verify quality."

ECC at a Glance

  • GitHub Stars: 83,377 (+2,716 per day)
  • Forks: 10,900+
  • Specialized Skills: 108+
  • Slash Commands: 57+
  • Sub-Agents: 12+ (architecture, review, security, testing, etc.)
  • Supported IDEs: Claude Code, Cursor, Codex, OpenCode, Antigravity
  • Supported Languages: TypeScript, Python, Go, Java, C++, Swift, PHP, Perl
  • License: MIT (free)
  • Repository: View on GitHub

The difference between 'just using' and 'truly leveraging' an AI coding assistant comes down to systems like this. If you're a developer, install ECC and unlock Claude Code's hidden potential. If you're not a developer, it's worth noting that AI coding tools have evolved far beyond simple autocomplete — they're now reaching operating-system-level integration of design, development, review, and deployment.

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