1. Full script—copy and run in bash #!/usr/bin/env bash set -e echo "==> Setup
Anyone who has tried "Markdown → image" has probably fallen into this trap: Mar
Claude’s new streaming UI isn’t just “AI writes HTML”; it’s a protocol where the model continuously emits structured UI messages that the host can reliably parse, sandbox, render and re-flow. The key is not rendering but a tight output protocol: fenced JSON blocks, strict token ordering, on-demand specs, and a stream parser that frames tokens into widgets while they arrive.
Image generators used to fail hilariously on text; recent papers show they now spell correctly. The fix wasn’t bigger models or better prompts but re-framing text as its own task: feed explicit glyph shapes, optimize text regions separately, and enforce character-level control. This glyph-first, region-first, character-first pipeline marks a shift from ‘nice textures’ to usable, human-readable graphics.
Skills are not flashy AI tricks; they are lightweight, commit-able bundles of team know-how that turn tacit engineering habits into explicit, callable repository capabilities, quietly forcing teams to face—and write down—what they actually do.
Many users deploy OpenClaw on a server as a personal AI assistant, but by defaul
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目录 Koupleless 简介 合并部署概述 环境准备 基座改造 模块改造 模块瘦身 部署与验证