kunchenguid/lavish-axi

lavish

Turn complex or visual agent responses into rich, reviewable HTML artifacts (HTML files) the user can annotate and send feedback on, using the lavish-axi CLI.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/kunchenguid/lavish-axi --skill lavish

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

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.

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