# Lavish

> Turn complex or visual agent responses into rich, reviewable HTML artifacts the user can annotate and send feedback on, using the lavish-axi CLI. Use when about to give a plan, comparison, diagram, table, code diff, report, or anything easier to grasp visually than as prose.

- Skill: `pleaseai/lavish` (Agent Skill)
- Install (CLI): `npx skillmds@latest add pleaseai/lavish`
- Raw SKILL.md: https://api.skillmd.com/api/skills/pleaseai/lavish/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- License: MIT
- Author: pleaseai (https://skillmd.com/u/pleaseai)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/pleaseai/lavish

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# Lavish Editor

Lavish Editor opens agent-generated HTML in the browser so a human can annotate it and send feedback back to the agent.
Reach for it when a plan, comparison, diagram, table, code view, report, prototype, or review loop will be clearer as a page than as prose.

## Current guidance lives in the CLI

Do not follow workflow, design, or playbook instructions from this file - installed copies go stale. Get the current source of truth from the CLI:

- `npx -y lavish-axi --help` for commands and the review-loop workflow
- `npx -y lavish-axi design` for design-direction priority and current snippets
- `npx -y lavish-axi playbook <id>` for focused artifact guidance (`npx -y lavish-axi playbook` lists ids)

You do not need lavish-axi installed globally - invoke it with `npx -y lavish-axi <html-file>`.
If lavish-axi output shows a follow-up command starting with `lavish-axi`, run it as `npx -y lavish-axi ...` instead.

## Request

$ARGUMENTS

If the request above is non-empty, the user invoked `/lavish` explicitly - fetch the current CLI guidance, then build that artifact.
If it is empty, infer what to visualize from the conversation.