Anthropic Cybersecurity Skills - 734+ AI-Ready Skills

Introduction

In today's rapidly evolving cybersecurity landscape, a structured skills framework has become a core competitive advantage for security professionals. The Anthropic Cybersecurity Skills project, maintained by Mahipal, provides a knowledge base of over 734 structured cybersecurity skills. The project comprehensively maps to the MITRE ATT&CK framework and is deeply optimized for 26+ major AI-driven development and security platforms, including Claude Code, GitHub Copilot, Cursor, and Gemini CLI. Released under the Apache 2.0 open-source license, it is designed to give security engineers, AI developers, and enterprise security teams a directly embeddable standard for skills training and assessment. Whether you are a newcomer just getting started in security or a seasoned expert looking to integrate AI tools into your daily defense workflows, this skills library helps you more effectively identify threats, build defense strategies, and improve automated security operations.

Key Features

• 734+ skills full coverage: Covers a complete skills chain from foundational cybersecurity concepts to advanced threat hunting, with each skill including clear definitions, application scenarios, and practical recommendations.
• MITRE ATT&CK mapping: Every skill is mapped to specific tactics and techniques in the MITRE ATT&CK framework, enabling security teams to conduct capability assessments and gap analysis under a unified standard.
• Multi-platform compatibility: Supports 26+ AI tools and development environments, including Claude Code, GitHub Copilot, Cursor, and Gemini CLI, and can be directly imported or referenced in existing workflows.
• Open source and customizable: Released under the Apache 2.0 license, users are free to modify and extend the skills library to meet the security needs of specific organizations or projects.
• Structured data formats: Provided in standardized JSON/YAML formats, making it easy to integrate into automation platforms, learning management systems, or security orchestration tools.

Highlights

• AI-native design: The skills library is specifically optimized for AI-assisted coding and security analysis scenarios, enabling tools like Claude and Copilot to more accurately understand security context and generate more reliable code and recommendations.
• Continuously updated and community-driven: Maintained by an active open-source community, the project iterates regularly based on the latest threat intelligence and ATT&CK updates, ensuring the library stays current.
• Lowers the security barrier: By breaking complex cybersecurity knowledge into actionable skill points, developers without a security background can quickly get up to speed and apply security best practices.
• One-stop skills assessment: Teams can quickly build an internal skills matrix, identify training priorities, and create personalized learning paths using the library.

Who It's For

This project is ideal for security engineers and analysts looking to systematically improve threat detection, incident response, and security architecture design; AI/ML developers who need to embed security logic into platforms like Claude Code and Copilot to ensure the safety of generated code; DevSecOps teams seeking to integrate security skills standards into CI/CD pipelines and automated security testing; security training and education institutions needing structured course outlines and skills assessment systems; and enterprise security leaders who want to establish team capability baselines and leverage AI tools to improve security operations efficiency.