Sky
1.1K posts

Sky
@code_coded
project lead for https://t.co/V8lpLj4Hs8, or some title like that…plus a ton of other things





















Sharing this because it’s more important than it looks This ranking shows the stack Claude Code tends to pick when you let the agent run autonomously. When you delegate real workflows, it consistently defaults to this set of services and frameworks. As Claude Code and other coding agents scale, distribution is shifting. If your service isn’t one of the defaults models select, you’re slowly losing surface area. Now, here’s the key part: You can’t influence how frontier models are trained. But you can influence what happens at inference time. Injectable SKILLs are a practical way to stay in the game. If you ship SKILLs that plug directly into agent workflows, and the community starts using them, you’re effectively shaping the model’s decision environment. You’re giving it structured affordances that reference your service. The more a SKILL that mentions or integrates your product gets used in real workflows, the more likely the agent is to select it as part of its execution path. Not because the base model changed, but because you changed the available tools around it. If you’re building dev tools, distributing SKILLs in marketplaces like app.aitmpl.com or skills.sh isn’t marketing. It’s distribution strategy in the agent era.









