#29
Description
[](https://github.com/affaan-m/everything-claude-code/stargazers) [](https://github.com/affaan-m/everything-claude-code/network/members) [](https://github.com/affaan-m/everything-claude-code/graphs/contributors)
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
Repository README
This is the README for affaan-m/everything-claude-code, shared by 4 entries
in this directory. It describes the repository, not this entry specifically.
**Language:** English | [Português (Brasil)](docs/pt-BR/README.md) | [简体中文](README.zh-CN.md) | [繁體中文](docs/zh-TW/README.md) | [日本語](docs/ja-JP/README.md) | [한국어](docs/ko-KR/README.md) [Türkçe](docs/tr/README.md)
Everything Claude Code
[](https://github.com/affaan-m/everything-claude-code/stargazers) [](https://github.com/affaan-m/everything-claude-code/network/members) [](https://github.com/affaan-m/everything-claude-code/graphs/contributors) [](https://www.npmjs.com/package/ecc-universal) [](https://www.npmjs.com/package/ecc-agentshield) [](https://github.com/marketplace/ecc-tools) [](LICENSE)
**50K+ stars** | **6K+ forks** | **30 contributors** | **7 languages supported** | **Anthropic Hackathon Winner**
**🌐 Language / 语言 / 語言 / Dil**
[**English**](README.md) | [Português (Brasil)](docs/pt-BR/README.md) | [简体中文](README.zh-CN.md) | [繁體中文](docs/zh-TW/README.md) | [日本語](docs/ja-JP/README.md) | [한국어](docs/ko-KR/README.md) | [Türkçe](docs/tr/README.md)
**The performance optimization system for AI agent harnesses. From an Anthropic hackathon winner.**
Not just configs. A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. Production-ready agents, hooks, commands, rules, and MCP configurations evolved over 10+ months of intensive daily use building real products.
Works across **Claude Code**, **Codex**, **Cowork**, and other AI agent harnesses.
The Guides
This repo is the raw code only. The guides explain everything.
Shorthand Guide Setup, foundations, philosophy. Read this first. Longform Guide Token optimization, memory persistence, evals, parallelization. Security Guide Attack vectors, sandboxing, sanitization, CVEs, AgentShield.
| Topic | What You'll Learn |
|---|---|
| Token Optimization | Model selection, system prompt slimming, background processes |
...
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