Agent Skills is a skill registry for professional AI coding agents that extends platforms like Antigravity, Claude Code, Cursor, and Copilot with verified capabilities.
The tool addresses the security risk posed by AI agent skill marketplaces, where a significant portion of available skills contain critical vulnerabilities. Agent Skills solves this by curating and validating a hardened library of skills that have been tested and verified as safe before being made available. Skills function as packaged instructions and resources that teach AI agents new workflows, patterns, and specialized knowledge, similar to plugins for an AI assistant.
Teams should adopt this tool when extending AI coding agents in professional environments where security and reliability are non-negotiable. It suits projects that require confidence in third-party agent extensions and want to avoid the risk of integrating untrusted or vulnerable capabilities. The project explicitly positions itself against the broader skill marketplace ecosystem by emphasizing its focus on verified, tested, and safe capabilities rather than quantity.
The project is written entirely in TypeScript and uses Nx Cloud for build infrastructure and semantic-release for versioning. It maintains an active release pipeline with automated build status checks. The tool includes an MCP server implementation, indicating ongoing development of integration patterns for agent platforms. The project accepts community contributions through a defined contribution process and maintains clear content and authorship guidelines for skills added to the registry.
