mcpField
L
lavish

lavish

github.com/kunchenguidDocuments4.3k23.2k installsUpdated today
Repository

About lavish

Lavish Editor is a skill and CLI-based workflow for turning agent-generated HTML into browser pages that people can annotate and use to send feedback to an agent. It is suited to plans, reports, prototypes, and other material clearer as a visual page than as prose.

Key features

  1. 01Opens agent-generated HTML in a browser
  2. 02Supports human annotations and agent feedback
  3. 03Provides CLI guidance for review workflows
  4. 04Offers design and artifact playbooks

Use cases

  1. 01Reviewing a plan or comparison visually
  2. 02Gathering feedback on a report or prototype
  3. 03Annotating diagrams, tables, or code views

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/kunchenguid/lavish-axi --skill lavish

After installing, type/lavishin Claude Code to confirm it loaded.

Details

From the project README

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 reply --help to post an agent reply and exit once the server accepts it, when you are not about to long-poll
  • 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 as an HTML file. If it is empty, infer what to visualize from the conversation.

Comments

Markdown supported