GitHub – jdrhyne/agent-skills: A collection of AI agent skills for Clawdbot, Claude Code, Codex

If you’ve ever spent time tweaking prompts, copying snippets between projects, or wondering why your AI coding assistant behaves brilliantly one day and clueless the next, this one will probably hit close to home.

There’s a GitHub repository by Jonathan Rhyne called agent-skills that quietly tackles a very real problem many of us run into once we start using AI agents seriously. Not demos. Not flashy promises. Just practical skills you can actually use. You can explore it here: https://github.com/jdrhyne/agent-skills.

The idea is simple, and honestly refreshing. Instead of reinventing your setup every time, this repo offers a growing collection of reusable AI agent skills and prompts that work with tools like Clawdbot, Claude Code, Codex, and similar coding assistants. Think of it like a toolbox you can reach for when your agent needs clearer instructions, a structured workflow, or a repeatable behavior you don’t want to rewrite again.

Some of the skills are pure instruction prompts. Plain text guidance that can drop into almost any agent context. Others are designed specifically for Clawdbot, with defined skill paths you can plug straight into your config. Each skill is self contained, which sounds small but matters a lot. You can copy a single SKILL.md file, drop it into your project, and move on with your day. No tangled dependencies. No mystery setup.

What really stood out to me is how this mirrors how developers actually work. You try something. You refine it. You save what works. Over time, those little improvements become habits. This repo feels like someone formalized those habits so you don’t have to start from scratch every time.

It’s MIT licensed too, so you’re free to adapt it, remix it, and make it your own. That freedom matters, especially if you’re experimenting across different projects or teams.

Looking ahead, collections like this feel like the missing layer between raw AI capability and real day to day productivity. As agents become more common, shared skill libraries like agent-skills might be how we all work a little faster, a little calmer, and with fewer “why did it do that?” moments along the way.