AI coding agents generate decent code. But decent ≠ production-ready.
They miss the stuff experienced engineers know instinctively — accessibility standards, proper auth flows, database reliability patterns, API design conventions. The gap between "it works" and "it's production-grade" is real.
What if we could give AI agents that missing knowledge as loadable skill modules?
That's what TechSkills does — an open-source library of SKILL.md
files containing structured workflows, design checklists, and battle-tested patterns that any AI agent can consume.
Skills use progressive to stay context-efficient:
No context window waste. Agent loads what it needs, when it needs it.
This is Day 1. Two foundational skills. The vision is a community-curated library covering DevOps, system design, data engineering, mobile, and more.
If you've got domain expertise and want to turn it into a skill module others can use — contributions are very welcome.
⭐ [GitHub](https://github.com/debabratasaha-dev/techskills) | 📄 MIT Licensed
What skills would you want your AI agent to have? Drop ideas in the comments 👇