The agent skills ecosystem is exploding. In the three months since Agent Skills became an open standard, hundreds of SKILL.md packages have appeared across GitHub—each one teaching AI coding agents to work smarter with specific tools, frameworks, and workflows.
We’ve curated the standouts. These are the packages getting the most installs, the highest ratings, and the most buzz on X/Twitter right now. Every one of them works across multiple AI tools thanks to the shared Agent Skills standard.
Game Development
donchitos/claude-code-game-studios
This is the package that made people take agent skills seriously. It turns Claude Code into a full game development studio with 48 AI agents, 36 workflow skills, and a coordination system that mirrors real studio hierarchy—art director, level designer, QA lead, the works.
It’s not a toy. Developers are using it to prototype entire games from a single prompt, with each agent owning its domain. The studio hierarchy means agents hand off work to each other the way a real team would: concept art → asset creation → level assembly → playtesting.
Security
shuvonsec/claude-bug-bounty
AI-powered bug bounty hunting from your terminal. This package gives Claude Code the ability to perform recon, test across 20 vulnerability classes, run autonomous hunting workflows, and generate professional reports—all from a single skill.
It’s particularly useful for security researchers who want to automate the tedious parts of bug bounty work (subdomain enumeration, port scanning, fingerprinting) while keeping human judgment in the loop for the actual exploitation.
Productivity & Toolkits
garrytan/gstack
Y Combinator president Garry Tan’s personal Claude Code setup, packaged as a skill. 15 opinionated tools that serve as CEO, Designer, Engineering Manager, Release Manager, Doc Engineer, and QA—reflecting how he actually uses AI agents in his daily workflow.
What makes this interesting isn’t just the tools themselves, but the opinionated workflow baked in. Each role has specific responsibilities and handoff points. If you’re a founder or technical leader, this is worth studying even if you don’t install it directly.
affaan-m/everything-claude-code
The “everything bagel” of Claude Code optimization. This package focuses on agent harness performance: skills, instincts, memory, security, and research-first development patterns. Works across Claude Code, Codex, OpenCode, Cursor, and more.
alirezarezvani/claude-skills
A massive collection of 192+ skills and agent plugins spanning engineering, marketing, product management, compliance, and even C-level advisory. If you need a skill for a specific domain, chances are it’s in here.
Full-Stack & Web Development
jezweb/claude-skills
Full-stack development skills built around Cloudflare, React, Tailwind v4, and AI integrations. If you’re building modern web apps on the Cloudflare stack, these skills will teach your AI agent the conventions and patterns that matter.
Mobile Development
twostraws/swiftui-agent-skill
From Paul Hudson (Hacking with Swift), this SwiftUI-focused skill gives Claude Code deep knowledge of SwiftUI patterns, best practices, and common pitfalls. Essential for any iOS developer using AI coding tools.
Team Coordination
jonathanhawkins/team-bundle
Create and manage Claude Code agent teams for parallel work. Spawn coordinated multi-agent teams, assign roles, manage teammates, and clean up when done. Supports team review, team debug, and team build workflows.
What to look for in a good skill package
Not all skills are created equal. When evaluating packages, look for:
- Compatibility. Does it list which tools it supports? The best packages are tested across Claude Code, Cursor, Codex, and at least one other tool.
- Documentation. A well-written SKILL.md with clear descriptions, examples, and trigger conditions makes the skill far more reliable.
- Scope. Focused skills that do one thing well tend to outperform massive “do everything” bundles. The exception is curated toolkits like gstack that have a clear opinionated philosophy.
- Active maintenance. Check the GitHub repo’s last commit date and issue activity. A skill that was last updated six months ago may not work with the latest tool versions.
The ecosystem is just getting started
Three months ago, none of this existed. The Agent Skills standard launched in December 2025, and since then the community has built hundreds of packages that make AI coding tools dramatically more capable.
If you’ve built something, publish it on Skill Vault. If you’re looking for skills to install, search the catalog. The best time to establish your packages in this ecosystem is right now.