archify
Reduces documentation debt and alignment friction by generating executable, shareable diagrams that teams can embed directly in runbooks or wikis without ext…
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
- Generate architecture diagrams from text descriptions that export as crisp, standalone HTML files.
- Create sequence diagrams showing system interactions and verify workflow logic before implementation.
- Produce data-flow visualizations with animated transitions for technical documentation and presentations.
Reduces documentation debt and alignment friction by generating executable, shareable diagrams that teams can embed directly in runbooks or wikis without external tools or dependencies.
Engineering teams documenting system architecture, workflows, and data flows for onboarding and cross-functional collaboration.
https://github.com/tt-a1i/archify
By tt-a1i
How to Get It
claude plugins install tt-a1i/archify
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate architecture diagrams from text descriptions that export as crisp, standalone HTML files
Trust Signals Auto-scanned
Community Pulse New
- Quantified Self: My Online Life in the last 8 Months — Hacker News · 49 pts
- A search engine built by the crowd — Hacker News · 43 pts
- One Week of Blippex: 125k+ searches, tons of press and a search-overlay — Hacker News · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 7,941 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 7,941 GitHub stars; contributors unknown; last commit 0d ago; license MIT.