awesome-skills and claude-superskills

awesome-skills
39
Emerging
claude-superskills
35
Emerging
Maintenance 10/25
Adoption 4/25
Maturity 11/25
Community 14/25
Maintenance 10/25
Adoption 5/25
Maturity 20/25
Community 0/25
Stars: 7
Forks: 3
Downloads:
Commits (30d): 0
Language: Shell
License:
Stars: 12
Forks:
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No Package No Dependents
No risk flags

About awesome-skills

theneoai/awesome-skills

🌟 450+ Expert AI Skills | CEO, Doctor, Engineer, Scientist & more | Multi-platform: Claude, Cursor, Codex, Kimi, OpenClaw | Transform AI into any professional

This library provides pre-built, high-quality AI prompts, called 'skills,' designed to help you interact with large language models as if they were expert professionals. You can input your query or problem, and the AI will respond as a CEO, doctor, engineer, or various other roles, offering structured and domain-specific advice. It's for anyone who uses AI chat tools and wants to get more professional, nuanced, and reliable outputs for specific tasks.

AI-prompt-engineering professional-workflows business-analysis expert-systems executive-decision-support

About claude-superskills

ericgandrade/claude-superskills

44+ Universal AI Skills for Claude Code & GitHub Copilot. Standardized workflows for Solution Architecture, Startup Strategy, Software Engineering, and Product Growth.

This project transforms your AI assistant (like Claude, GitHub Copilot, or Gemini) from a general helper into a specialist with over 50 specific 'skills.' Instead of typing ad-hoc prompts, you input your task, and the AI uses a pre-defined workflow to deliver consistent outputs for complex tasks like solution architecture, startup strategy, or content creation. It's designed for professionals who want to standardize and scale how they use AI across their team or personal workflows.

AI-assisted workflow Solution architecture Startup strategy Software engineering Product growth Career development Content automation

Scores updated daily from GitHub, PyPI, and npm data. How scores work