How I Built 25 Executable Skills for My AI Agent (and You Can Too)

A developer built 25 executable skills for AI coding agents, packaged into a single open-source repository compatible with Claude Code, Codex, Cursor, and Hermes Agent. The skills include debugging, planning, code review, browser automation, and a Router Learning System that auto-selects the best execution path. The project is MIT licensed and hosted on GitHub.

After months of building agent skills for Claude Code, Codex, Cursor, and Hermes Agent, I noticed a problem: every agent needs the same foundational capabilities �” debugging, planning, code review, browser automation �” but you have to write them from scratch for each platform. So I packaged 25 of the most useful skills into a single open-source repo, compatible across all major AI coding agents. Fix brew Node dylib mismatch, memory analysis, iOS app build automation, self-regulation brake system, GitHub demo recording, install tools with verification, macOS backup, Reddit posting workflow, webhook subscriptions, AI news monitoring, and more. Cua Driver install + config, a Router Learning System that auto-selects CLI/CDP/Desktop Automation, and a vision-based GUI debug loop. GitHub OAuth via browser automation, Cua Driver browser control, social media content automation across 6+ platforms. Cocos Creator debug workflows, WeChat DevTools fixes, UX feedback loop, merit shop system, TypeScript compile check. The most interesting piece was a Router Learning System that: python Simplified routing logic def execute task : for path in CLI, CDP, DESKTOP, VISION : if path.success rate 0.7: return path.run task return FALLBACK STRATEGY git clone https://github.com/chrislamlayer1-gif/hermes-core-skills cd hermes-core-skills Load into your agent Claude Code, Codex, Cursor, or Hermes All 25 skills are MIT licensed . Contributions welcome Built with Hermes Agent �” an open-source AI agent by Nous Research.