@kunchenguid/lavish
@kunchenguid/lavish — AI coding skill
| name | lavish |
| description | 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. |
| license | MIT |
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 --helpfor commands and the review-loop workflownpx -y lavish-axi designfor design-direction priority and current snippetsnpx -y lavish-axi playbook <id>for focused artifact guidance (npx -y lavish-axi playbooklists 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.
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Analyzing security...
Checking scan reports and verification data.
Bill of Materials
Everything this skill can do — files, network, commands, and more.