@bkdgiffug: Anyone who’s had Claude Code draw SVG architecture diagrams has probably been tormented by “crooked lines, text overflo…

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Summary

Introduces an svg-diagram Agent Skill that provides standards for AI-generated SVG diagrams to fix issues like crooked lines and text overflow, integrating with tools such as Cursor and Claude Code.

Anyone who’s had Claude Code draw SVG architecture diagrams has probably been tormented by “crooked lines, text overflow, and garbled Chinese characters.” The svg-diagram Agent Skill simply adds a set of SVG drawing standards for AI: ① Box height calculated based on font size, with clear rules for line and arrow positions ② Built-in zero-dependency checker that directly inspects the final SVG, covering 12 issues like fonts, whitespace, overlaps, and escaping ③ When issues are found, it tells you exactly what’s wrong, like insufficient margins or element overflow ④ Can be integrated into Cursor, Codex, Claude Code, and other Agents with a single command ⑤ Even calculates text width for Chinese labels in advance to reduce layout blowups It even includes text baseline calculations in the rules. Essentially, it adds a layer of “automatic acceptance testing” to AI-generated SVGs, sparing you some of the pain of manually fixing diagrams after generation. 🔗
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Cached at: 09/26/26, 09:05 PM

Anyone who’s had Claude Code draw SVG architecture diagrams has probably been tormented by “crooked lines, text overflow, and garbled Chinese characters.”

The svg-diagram Agent Skill simply adds a set of SVG drawing standards for AI:

① Box height calculated based on font size, with clear rules for line and arrow positions ② Built-in zero-dependency checker that directly inspects the final SVG, covering 12 issues like fonts, whitespace, overlaps, and escaping ③ When issues are found, it tells you exactly what’s wrong, like insufficient margins or element overflow ④ Can be integrated into Cursor, Codex, Claude Code, and other Agents with a single command ⑤ Even calculates text width for Chinese labels in advance to reduce layout blowups It even includes text baseline calculations in the rules.

Essentially, it adds a layer of “automatic acceptance testing” to AI-generated SVGs, sparing you some of the pain of manually fixing diagrams after generation. 🔗

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@alin_zone: Found a Skill specifically for AI Agents to draw technical architecture diagrams: Archify. No need to learn Mermaid, no manual dragging of boxes or lines. Just tell Claude Code / Codex in plain English: "Read these repos and draw an architecture comparison diagram for me." It will generate…

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