lavish
kunchenguid/lavish-axi
Turn complex responses into interactive HTML artifacts for user review and annotation.
What is lavish?
Lavish converts agent-generated content into rich HTML artifacts that users can annotate and provide feedback on. Use it when presenting plans, comparisons, diagrams, tables, code diffs, reports, or any visual content that's clearer as a page than prose.
- Generates interactive HTML artifacts from agent responses
- Enables user annotation and feedback on visual content
- Supports plans, comparisons, diagrams, tables, and code diffs
- Integrates with the lavish-axi CLI for workflow management
- Opens artifacts in browser for easy review
- Facilitates feedback loops between agent and user
How to install lavish
npx skills add https://github.com/kunchenguid/lavish-axi --skill lavish- Node.js and npm installed
- Access to npx (included with npm 5.2+)
How to use lavish
- 1.Install the skill: npx skills add https://github.com/kunchenguid/lavish-axi --skill lavish
- 2.Invoke lavish with your content: npx -y lavish-axi <html-file>
- 3.Review the generated HTML artifact in your browser
- 4.Annotate and provide feedback on the artifact
- 5.Use npx -y lavish-axi reply to post agent replies and continue the workflow
- 6.Consult npx -y lavish-axi --help for current CLI commands and workflow details
Use cases
- Creating visual project plans or timelines for stakeholder review
- Generating comparison tables or matrices for decision-making
- Displaying code diffs or refactoring proposals as annotatable HTML
- Building interactive reports or dashboards for analysis
- Presenting architecture diagrams or system designs for feedback
- Developers working with coding agents
- Project managers needing visual planning tools
- Technical leads reviewing proposals or designs
- Teams collaborating on complex documentation
- Anyone presenting data-heavy or visual information
lavish FAQ
No. You can invoke it with npx -y lavish-axi <html-file> without a global installation.
Run npx -y lavish-axi --help for commands, npx -y lavish-axi design for design priorities, and npx -y lavish-axi playbook <id> for focused artifact guidance.
Visual or complex content like plans, comparisons, diagrams, tables, code diffs, reports, and prototypes are ideal candidates.
Yes, Lavish Editor opens HTML in the browser where users can annotate it and send feedback back to the agent.
Use npx -y lavish-axi reply to post an agent reply and exit once the server accepts it, or follow the long-poll workflow from the CLI help.
Full instructions (SKILL.md)
Source of truth, from kunchenguid/lavish-axi.
name: lavish description: 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: MIT metadata: author: Kun Chen (kunchenguid) argument-hint: <what the artifact should show> hermes-tags: html, review, artifacts, visualization hermes-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 --helpfor commands and the review-loop workflownpx -y lavish-axi reply --helpto post an agent reply and exit once the server accepts it, when you are not about to long-pollnpx -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 as an HTML file.
If it is empty, infer what to visualize from the conversation.
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