Aired: A Claude Code Skill for Instant HTML Publishing to Live URLs
Aired is a tool that enables AI coding agents to publish generated HTML content to live URLs in approximately 2 seconds. It addresses the specific problem of sharing HTML reports, dashboards, and visualizations created by AI agents without requiring manual file transfers.
Installation and Setup
There are two primary installation methods:
- As a Claude Code skill:
npx skills add progrmoiz/aired - As an MCP server:
claude mcp add aired --transport http https://aired.sh/mcp
Core Functionality
After generating HTML with Claude, users can simply say "air it" to receive a live URL within 2 seconds. The tool supports:
- Claude Code, Cursor, VS Code, Codex, and Windsurf — any environment that supports MCP (Model Context Protocol)
- Remote MCP endpoint for web-based AI tools with zero installation required
- Page updates and deletions using stored tokens, allowing agents to manage the full lifecycle
Technical Details
Aired is built on Cloudflare Workers and R2 storage. It's MIT licensed and available for free. The command-line interface allows direct file publishing: npx aired dashboard.html generates a shareable link.
The tool requires approximately 30 seconds to set up and operates without signup requirements or deployment configuration.
Availability
GitHub repository: github.com/progrmoiz/aired
Live site: aired.sh
📖 Read the full source: r/ClaudeAI
👀 See Also
Zerro: Point at Your Live App, Speak, and Watch Claude Code Edit It Instantly
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Reducing Multi-Modal Agent Latency by Omitting Screenshot History
A developer found that omitting previous screenshots from multi-modal agent requests and replacing base64 image data with "[image omitted]" strings significantly reduces latency while maintaining performance. The experiment was conducted using Claude and documented on GitHub.
Engram: Hybrid Memory Plugin for OpenClaw Agents — Vector + Semantic Search with Decay
Engram gives OpenClaw agents persistent memory across sessions using SQLite+FTS5 for exact recall and LanceDB for semantic search, with decay classes and auto-capture hooks.
nan-forget: Local AI coding memory in a single SQLite file
nan-forget is a memory tool for AI coding agents that stores context in a single SQLite file (~3MB) with no background services. It uses a 3-stage retrieval pipeline and works across Claude Code, Cursor, and terminal via CLI.