Everything Claude Code
A performance optimization system for AI agent harnesses (Claude Code, Cursor, Codex, OpenCode) with skills, instincts, memory, security, and research-first development.
What is Everything Claude Code?
Everything Claude Code is an open-source performance optimization system for AI agent harnesses like Claude Code, Cursor, Codex, and OpenCode. It provides a complete framework with specialized agents, reusable skills, memory persistence, continuous learning, and security scanning to enhance developer productivity when working with AI coding assistants. The system solves the problem of fragmented agent configurations by offering a battle-tested, production-ready collection of components evolved from real-world usage.
Developers and teams using AI agent harnesses (Claude Code, Cursor, Codex, OpenCode) who want to optimize their workflows with production-ready agents, skills, and security features. Particularly valuable for those building real products across multiple programming languages and frameworks.
Developers choose Everything Claude Code because it offers a complete, battle-tested system rather than just configuration files, with cross-platform support, continuous learning capabilities, and integrated security auditing. Its research-first development philosophy and extensive component library (47 agents, 181 skills) provide immediate productivity gains without the need to build optimization systems from scratch.
Overview
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Use Cases
Best For
- Optimizing Claude Code, Cursor, Codex, or OpenCode workflows with production-ready agents and skills
- Implementing continuous learning systems that extract patterns from AI agent sessions
- Adding security scanning and vulnerability detection to AI coding assistant workflows
- Managing multi-language development across TypeScript, Python, Go, Java, Swift, and PHP
- Building cross-platform AI agent configurations that work across multiple harnesses
- Reducing token consumption and implementing memory persistence for AI coding sessions
Not Ideal For
- Projects exclusively using a single AI harness with no need for cross-platform compatibility
- Small scripts or one-off tasks where the overhead of 47 agents and 181 skills is unnecessary
- Environments with strict internet restrictions that prevent npm installs or cloning from GitHub
Pros & Cons
Pros
47 specialized subagents handle planning, architecture, code review, and security analysis across multiple languages, providing ready-to-use delegation for complex tasks.
Full compatibility with Claude Code, Cursor, Codex, and OpenCode includes platform-specific hooks and configurations, ensuring seamless workflow portability.
Instinct-based v2 learning automatically extracts patterns from sessions with confidence scoring and evolution into reusable skills, enabling adaptive improvement.
AgentShield integration offers 1282 tests and 102 rules for vulnerability scanning and misconfiguration detection, adding robust security to AI coding workflows.
Cons
Frequent duplicate hook file errors and version incompatibilities with Claude Code require careful management, as noted in multiple GitHub issues (#29, #52, #103).
Multi-agent commands like /multi-plan require separate ccg-workflow runtime installation, which is not covered in the base setup and adds extra steps.
With 181 skills and extensive components, the system can feel bloated for users who only need basic optimization, leading to unnecessary configuration overhead.
Frequently Asked Questions
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