borghei/Claude-Skills
368 AI skills, 76 expert agents, and 859 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, and research. Installs on Claude Code, Cursor, Codex, Gemini, Copilot, and 6 other AI assistants.
What it solves
It provides a comprehensive library of pre-built AI skills, personas, and tools designed to move beyond simple prompt templates. It enables teams across various functions—not just engineering—to execute complex professional workflows, such as running SOC 2 audits, conducting sprint retrospectives, or drafting board updates, using AI assistants.
How it works
The project offers a modular system of prompts and tools that can be integrated into various AI platforms (like Claude, ChatGPT, and Gemini) or developer tools (like Cursor and Aider). It consists of:
- Expert Identities: Pre-defined personas (e.g.,
startup-cto,growth-marketer) that bundle multiple skills. - Skill Packs: Deep-dive collections for specific technical areas like browser automation or self-improving agents.
- Slash Commands: Shortcuts for common tasks like
/prdor/tdd. - Python Tools: Over 800 standard-library Python scripts that can be piped into CI/CD or MCP servers.
- Orchestration Patterns: Frameworks for multi-agent workflows, including sequential pipelines and consensus voting.
Who it’s for
- Product and Business Teams: Those needing structured frameworks for project management, GTM strategy, and business operations.
- Regulated Industry Professionals: Users requiring compliance frameworks for SOC 2, HIPAA, GDPR, and the EU AI Act.
- Developers: Engineers looking to augment their AI coding assistants with specialized technical skills and CLI tooling.
Highlights
- Massive Library: Includes 368 skills, 76 expert agents, and 18 compliance frameworks across 20 domains.
- Broad Compatibility: Works natively or via compatibility layers with Claude Code, Cursor, GitHub Copilot, Windsurf, and others.
- Compliance-Focused: One of the few open-source libraries covering regulated industries with audit-ready outputs.
- Developer Friendly: Includes a CLI tool for easy skill installation and a set of Python tools that require no external dependencies.
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