borghei/Claude-Skills — 339 AI skills across 17 domains.

Description and use

**Project Summary**

The open-source project borghei/Claude-Skills is a comprehensive AI skills library that offers 339 skills across 17 domains, making it a valuable resource for connecting AI assistants to real tools and data through a standard protocol. This project enables users to connect AI agents to various tools, ship Model Context Protocol servers, and standardize integrations, making it a practical solution for those looking to automate tasks and workflows. With its high production readiness, recent activity, and strong ecosystem signals, this project is ready for serious pilots.

**Value Proposition**

The value proposition of borghei/Claude-Skills lies in its ability to standardize integrations between AI assistants and various tools, making it easier to automate tasks and workflows. By providing a comprehensive library of AI skills, this project enables users to connect their AI agents to a wide range of tools, including engineering, marketing, and compliance tools. This standard protocol facilitates seamless communication between AI assistants and tools, making it a valuable resource for organizations looking to automate their workflows.

**Practical Adoption Path**

The practical adoption path for borghei/Claude-Skills involves several steps:

1. **Evaluation**: Users can evaluate the project by reviewing its implementation signals, such as API/SDK/CLI, language metadata

Problem

borghei/Claude-Skills helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

339 AI skills across 17 domains. PM is the deepest (66 skills - discovery, execution, strategy frameworks, GTM, Jira/Linear/Notion). Plus engineering, marketing, C-level (CAIO/CDO/CCO/GC/VPE), compliance + audit-prep, research, vertical advisors, workflow meta-skills. 76 expert agents, 774 stdlib Python tools. Installs on 11 AI assistants.

Source