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29 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
100
review score
Problem solved
It solves the problem of AI-generated diagrams looking generic and unpolished, which often forces users to spend time in Figma or skip diagrams entirely. By providing a curated set of editorial visual types and automatic brand matching from a website URL, it delivers high-quality, consistent diagrams in seconds without manual styling.
Deployment reality
The available setup signal starts with: pi install https://github.com/cathrynlavery/diagram-design. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can generate architecture diagrams, flowcharts, sequence diagrams, state machines, ER models, timelines, swimlanes, quadrant charts, org charts, Venn diagrams, layer stacks, pyramids, radar charts, loops, IT current-state maps, and more—all as static HTML+SVG that can be opened directly in a browser. The skill supports semantic patterns for behavior (queue, policy trace, trust boundary) and can convert existing draw.io/Mermaid sources, making it suitable for documentation, technical blog posts, internal wikis, and client deliverables. The ceiling includes fully customized, brand-aligned diagrams with optional motion for ordered explanations, all without external dependencies.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
cathrynlavery/diagram-design is tracked as a HTML project in the AI Agent, AI App, Developer Tool, Data Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 19k total stars, with +1.6k today, +15k this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 8 days ago, and the open issue queue is 19, about 0.10% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 1.1k forks and 19k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need HTML teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 15k. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
19k Stars
Reuse
1.1k Forks
Attention
19k Watchers
Maintenance
active
License
MIT
Open issues
19
Diagram Design is a skill for AI coding agents (Claude Code, Codex, Pi) that generates editorial-quality diagrams in 27 visual types, matching a brand's style by reading its website. It outputs static HTML by default with optional accessible motion, and can redraw draw.io or Mermaid sources.
Key Features
- 27 visual types including architecture, flowchart, sequence, state machine, ER, timeline, swimlane, quadrant, nested, tree, org chart, Venn, layers, pyramid, consultant 2×2, radar, loop, IT current-state, high-level, bar, line, Gantt, scatter, process, medallion, data flow, DP integration, and DP security matrix. - Three static variants (minimal light, minimal dark, full-editorial) with no build step or external dependencies. - One agent skill for Claude Code, Codex, and Pi; semantic patterns describe behavior separately from layout; optional motion for ordered explanations.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
AI App
End-user AI applications and AI-native product examples
Developer Tool
Tools that improve coding, testing, build, and local workflow
Data Tool
Databases, data pipelines, ETL, analytics, and vector search
pi install https://github.com/cathrynlavery/diagram-design80
Health Score
Active
Commit Activity
Apr 16, 2026
Created
Aug 14, 2026
Last push
+1.4k
Today's growth
+8.3k
7-day growth
+8.3k
30-day growth
Forks
Open
Watchers
cathrynlavery
GitHub profileossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
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Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
✓
License
✓
Forked
✓ Active
Maintained
Problem Solved
It solves the problem of AI-generated diagrams looking generic and unpolished, which often forces users to spend time in Figma or skip diagrams entirely. By providing a curated set of editorial visual types and automatic brand matching from a website URL, it delivers high-quality, consistent diagrams in seconds without manual styling.
Capabilities
Developers can generate architecture diagrams, flowcharts, sequence diagrams, state machines, ER models, timelines, swimlanes, quadrant charts, org charts, Venn diagrams, layer stacks, pyramids, radar charts, loops, IT current-state maps, and more—all as static HTML+SVG that can be opened directly in a browser. The skill supports semantic patterns for behavior (queue, policy trace, trust boundary) and can convert existing draw.io/Mermaid sources, making it suitable for documentation, technical blog posts, internal wikis, and client deliverables. The ceiling includes fully customized, brand-aligned diagrams with optional motion for ordered explanations, all without external dependencies.
Bottom Line
This is ideal for technical writers, developers, and consultants who need polished, brand-consistent diagrams quickly and dislike the default AI-generated look. It's less suited for those who require complex, interactive diagrams or who prefer to work in vector editing tools. The key trade-off is a fixed set of visual types (27) versus the flexibility of a full drawing tool, but the quality and speed are unmatched for editorial-style output.