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Rahul Agarwal

Founder | Agentic AI... • 11h

Most AI coding agents are powerful. But they lack your company’s specific context. That gap limits them. That gap slows execution. A single repository just crossed 11,000 stars and keeps growing rapidly worldwide. It contains everything needed. Hundreds of reusable capabilities. Over 860 structured skills now available for modern AI coding agents everywhere. One repo powers all. Works across every tool. Claude Code. Gemini CLI. Codex CLI. Cursor. Copilot. And many others. No platform lock-in. No complex integration. Here is the link: https://github.com/sickn33/antigravity-awesome-skills AI agents are intelligent. But they start without your workflows or engineering rules. They miss conventions. They miss internal patterns. They don’t understand deployment sequences, infrastructure templates, or architectural decision standards automatically. That knowledge must be taught. That’s where skills help. Each skill is simple. One file. One capability. Structured markdown teaches agents exactly how to perform specific engineering tasks correctly. Consistent results follow. Execution becomes predictable. The repository covers architecture, security, DevOps, testing, data systems, and business workflows. Breadth is massive. Depth is practical. The advantage now belongs to engineers who equip agents with structured capabilities.

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Sunderam Dutta

Best your best. • 1y

Skill gap is not the problem, If companies want they can train people for the job, expriancial learning is the best way to learn. People can learn as they work in a position, I mean academic course is not designed for such skills, they are to be lear

4 Replies