agent-html
Enables AI agents to generate production-ready HTML without external dependencies, reducing deployment complexity and runtime overhead while maintaining desi…
Zero-dependency, single-file HTML design system & agent skill inspired by shadcn/ui. 100% offline, zero npm, 6 layout archetypes & atomic arsenal for LLMs.
- Generate responsive HTML layouts offline without installing npm dependencies
- Build consistent UI components quickly using pre-made atomic design patterns
- Create mockups and prototypes with shadcn-inspired design system elements
Enables AI agents to generate production-ready HTML without external dependencies, reducing deployment complexity and runtime overhead while maintaining design consistency across agent-generated interfaces.
Teams building LLM-powered applications that need reliable HTML generation with minimal infrastructure footprint and offline capability.
https://github.com/QingYunA/agent-html
By QingYunA
How to Get It
claude plugins install QingYunA/agent-html
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 responsive HTML layouts offline without installing npm dependencies
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- Ask HN: What happened to vanilla HTML/CSS/JS development? — Hacker News · 315 pts
- Show HN: Claude Code plugin for two-way HTML artifact generation — Hacker News · 2 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 28 GitHub stars; contributors unknown; last commit 0d ago; license no license.
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): 28 GitHub stars; contributors unknown; last commit 0d ago; license no license.