by coleam00 · Agent Tool · ★ 718
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Excalidraw Diagram Skill A coding agent skill that generates beautiful and practical Excalidraw diagrams from natural language descriptions. Not just boxes-and-arrows - diagrams that argue visually. Compatible with any coding agent that supports skills. For agents that read from (like Claude Code and OpenCode), just drop it in and go. What Makes This Different Diagrams that argue, not display. Every shape/group of shapes mirrors the concept it represents — fan-outs for one-to-many, timelines for sequences, convergence for aggregation. No uniform card grids. Evidence artifacts. As an example, technical diagrams include real code snippets and actual JSON payloads. Built-in visual validation. A Playwright-based render pipeline lets the agent see its own output, catch layout issues (overlapping text, misaligned arrows, unbalanced spacing), and fix them in a loop before delivering. Brand-customizable. All colors and brand styles live in a single file (). Swap it out and every diagram follows your palette. Installation Clone or download this repo, then copy it into your project's directory: Setup The skill includes a render pipeline that lets
| Stars | 718 |
| Forks | 139 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 66.8905941328349/100 |
| Open Issues | 4 |
| Last Updated | 2026-03-01 |
| Created | 2026-03-01 |
| Platforms | claude-code, python |
| Est. Tokens | ~1k |
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excalidraw-diagram-skill is Skill to give Claude Code (and any coding agent) the ability to generate beautiful and practical Excalidraw diagrams.. It is categorized as a Agent Tool with 718 GitHub stars.
excalidraw-diagram-skill is primarily written in Python.
You can find installation instructions and usage details in the excalidraw-diagram-skill GitHub repository at github.com/coleam00/excalidraw-diagram-skill. The project has 718 stars and 139 forks, indicating an active community.
The top alternatives to excalidraw-diagram-skill on Agent Skills Hub include raptor, skills, claude-forge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.