[GitHub Trending] tt-a1i/archify

7.3 relevance

Agent skill for architecture diagrams, novel and relevant to platform engineering.

AI/ML github.com

Answer the board on AI readiness

Arrive with evidence, not opinion. See how your foundation benchmarks against your peers, get a clear read, and leave with a ranked place to start.

Why It Matters

For platform and data engineers designing or reviewing distributed systems, Archify provides a deterministic, agent-driven way to visualize and validate architecture changes before merge, bridging AI-generated topology with verifiable infrastructure documentation.

Key Takeaways

Install Archify via `npx skills add tt-a1i/archify -g` and use it to generate interactive system maps from any agent chat or repository commit for pre-merge architecture review.

Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export. - tt-a1i/archify

Summary

Archify v2.16.0 is a Node.js rendering and validation system that compiles typed JSON IR from AI agents (Cursor, Claude Code, Codex CLI, OpenCode) into deterministic HTML/SVG interactive system maps. It supports five diagram types, four presets, dark/light themes, and a Before/Delta/After comparison for architecture review. The tool generates self-contained artifacts (HTML, PNG, SVG, WebM, 1200×630 share cards) and can map real repositories like mco-org/mco at commit 9f1a1cf without requiring a repo—just describe the system in chat.

Author

tt-a1i