Making AI Coding Agents Actually Good at Software Engineering

A developer has released TechSkills, an open-source library of SKILL.md files that provide AI coding agents with structured workflows, design checklists, and production-grade patterns. The project aims to bridge the gap between code that merely works and code that is production-ready by enabling agents to load relevant skills on demand, with a vision for a community-curated library covering DevOps, system design, and more.

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 https://github.com/debabratasaha-dev/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 loading 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 👇