lavish

toolingkunchenguid19K installs

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. Use when about to give a plan, comparison, diagram, table, code diff, report, or anything easier to grasp visually than as prose.

Install

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

SKILL.md

---name: lavishdescription: 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. Use when about to give a plan, comparison, diagram, table, code diff, report, or anything easier to grasp visually than as prose.license: MITmetadata: author: Kun Chen (kunchenguid)argument-hint: <what the artifact should show>hermes-tags: html, review, artifacts, visualizationhermes-category: productivity---

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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