all-the-vibes/atv-paperboard/render-artifact

Claude Code and agent skill by all-the-vibes/atv-paperboard

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Render a structured input (JSON or Markdown) into a paired HTML + DESIGN.md + meta.yaml artifact triple. Serves the result on loopback HTTP and opens a browser tab (unless running headless/remote). Invokes `paperboard render` via the atv-paperboard CLI.

Install

npx vskill@latest install all-the-vibes/atv-paperboard/render-artifact

SKILL.md

render-artifact

Converts structured LLM output into a beautiful, linted HTML artifact governed by a DESIGN.md.

Usage

paperboard render --input <path-or-> [--design <name|path|url>] [--tier atv|pico|daisy] [--no-open]

Tier selection

  • Default: `atv` — the dark designed-document tier; use for dashboards, reports, and

any rich multi-section output. This is the right answer in almost all cases.

  • `pico` / `daisy` — light-document tiers; pick only when the target audience explicitly

wants a lightweight, framework-styled page.

When to invoke

  • The user asks to "render" or "visualize" structured output (tables, dashboards, comparisons).
  • A prior tool write produced a file that looks like a data artifact.

Steps

  1. Collect the input path (or pipe JSON/Markdown via stdin with --input -).
  2. Optionally specify --design (starter name, path, or URL) and --tier (omit for atv).
  3. Run the command; report the triple paths and slug from stdout.
  4. If --no-open was NOT passed and the environment is non-headless, the browser opens automatically.

Output

The command writes three files and prints their paths:

  • <slug>.html — single-file artifact
  • <slug>.DESIGN.md — design sidecar
  • <slug>.meta.yaml — metadata (tier, harness, lint_passed, created_at)

Input shape — pick the richest one that fits

The atv tier renders three distinct layouts depending on what --input receives. Prefer the richest layout the content supports — most agent output is structured enough to use the section graph, which is the only mode that exercises the designed-document treatment (hero strip, numbered sections, accent typography).

1. Section graph — use this for almost everything

JSON with a top-level sections: [...] array. Each entry has a kind that maps to one of 15 emitters. Run paperboard schema to see them all, or paperboard schema --kind <name> for fields + an example payload.

json
{
"title": "Pipeline Report",
"sections": [
{"kind": "hero", "eyebrow": "Release", "title": "v0.2.0 pipeline.", "sub": "All checks green."},
{"kind": "sec", "num": "01", "title": "Build matrix.",
"body": [{"kind": "status-table", "rows": [{"check": "build", "status": "PASS"}]}]}
]
}

Available kinds (see paperboard schema for full input shape per kind): hero, sec, stack-list, dep-list, q-list, steps, code-shell, color-strip, fit-row, anti, checklist, callout, subhead, props-table, status-table.

2. Simple table — {title, subtitle, rows}

Use when the content is genuinely just a table and a heading. Renders as <h1> + <h2> + <table>; no hero strip, no card sections.

json
{"title": "Bug Hunt", "subtitle": "Phase 7 triage", "rows": [{"id": "RW-1", "status": "FIXED"}]}
3. Markdown prose — paperboard render --input report.md

Use only when the content is genuinely prose (long-form writing, narrative documentation). Renders the dark editorial typography in .prose mode. No hero, no sections.

Discover the schema before constructing JSON

paperboard schema # list all 15 kinds
paperboard schema --kind hero # detail + example for one kind
paperboard schema --format json # full machine-readable dump

Security

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