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Analysis & spreadsheets101k · #478

live-artifact

Lets your agent create documents that can be updated with data. It's useful for making reports or dashboards that show real-time information.

What it does

This tool creates data visualizations that can be refreshed. Think of a dashboard or report that shows important information and can be updated with new data without needing to be rebuilt from scratch.

When to use it

  • ✓When you need a live dashboard with changing data.
  • ✓To create reports that can be updated with new information.
  • ✓When wanting a reusable and reliable data visualization.

Example of what to ask your AI

“Create a refreshable dashboard with last month's sales data.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/nexu-io/open-design/blob/main/design-templates/live-artifact/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/nexu-io/open-design/blob/main/design-templates/live-artifact/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool uses an HTML template and separate data. When the data changes, it automatically updates the visualization while keeping the design intact.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add nexu-io/open-design --skill live-artifact

Or download just the file:

curl -L https://raw.githubusercontent.com/nexu-io/open-design/main/design-templates/live-artifact/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Live Artifact Skill

Create an OpenDesign live artifact: a project-scoped, previewable HTML artifact whose data can later be refreshed without redesigning the presentation.

Resource map

live-artifact/
├── SKILL.md
└── references/
    ├── artifact-schema.md      ← `references/artifact-schema.md`: artifact files, DTO shape, template binding rules
    ├── connector-policy.md     ← `references/connector-policy.md`: connector safety, redaction, credential boundaries
    └── refresh-contract.md     ← `references/refresh-contract.md`: source metadata, refresh execution, snapshots

Current status

Use the references in this directory as the source of truth for the live artifact file contract. Prefer daemon wrapper commands over raw HTTP when registering or updating live artifacts.

When to use this skill

Use this skill when the user asks for a data-backed view that should remain useful after the first render, for example a live dashboard, refreshable report, synced status page, auditable data view, or artifact that can later be refreshed from local/project data or connectors.

Before creating files, decide whether the user actually wants a live artifact or a normal static artifact:

  • Use a live artifact when the user mentions refresh, sync, recurring updates, connector-backed data, source/provenance tracking, dashboards, reports, or reusable data-backed views.
  • Use a normal static artifact when the user only wants a one-off HTML/mockup/image/file and does not need refresh, source metadata, or data/provenance panels.
  • If the intent is ambiguous, ask one short question: “Should this be refreshable/live, or just a static artifact?”

Workflow

  1. Resolve scope and data source without blocking on connected connectors

    • Identify the preview goal, audience, data freshness expectations, and whether refresh should be possible later.
    • If the user explicitly names a connector/source such as Notion, GitHub, Slack, or Google Drive, do not ask “where should the data come from?” before checking daemon connector tools.
    • Prefer local/project sources or daemon connector tools when available.
    • Do not call provider APIs directly when a daemon connector/wrapper exists.
    • If connector data is needed, first list connectors with "$OD_NODE_BIN" "$OD_BIN" tools connectors list --format compact. If the named connector is present with status: "connected", choose an appropriate read-only auto tool from its catalog and execute it through the connector wrapper.
    • For Notion specifically, a connected notion connector plus a user brief that names Notion is enough to start with notion.notion_search using a query derived from the requested artifact/topic. Use notion.notion_fetch_database only when the user supplied a database id or the search result clearly identifies one.
    • Ask the user a data-source question only when no matching connected connector exists, multiple connected candidates fit equally well, or the requested artifact has no usable topic/query to search for. If you must ask, be specific: ask for the page/database/topic or permission to search broadly, not “where is the Notion data source?”
  2. Author the source files

    • Write template.html as the human-designed HTML template. The daemon hydrates it with data.json using the html_template_v1 binding contract — stay inside it or hydration fails and the raw template ships with visible {{…}} tokens:
      • Scalars: {{data.path.to.value}}. Paths start with data, dot-separated; numeric array indexes are allowed ({{data.kpis.0.value}}). Every binding must resolve to a single string/number, not an object or array.
      • Lists: repeat one element with data-od-repeat="item in data.items", then bind loop-scoped fields inside it as {{item.label}} (or {{item}} for a scalar array). One level only; data.* still works inside the repeat for globals.
      • Do NOT hand-loop in a <script> (scripts are stripped from previews), and do NOT reference a bare loop variable like {{metric.value}} without a matching data-od-repeat scope — that binding is unresolvable. Nested repeats, conditionals, filters, helpers, and raw/triple-brace interpolation are unsupported.
    • Write data.json as the canonical preview data used by those bindings — real values, not placeholders.
    • Write artifact.json with the live artifact metadata, preview declaration, document declaration, and safe source descriptors.

…

FAQ

What is a 'live artifact'?

It's a data visualization (like a report or dashboard) that can be updated with new information without you having to recreate it completely. It's based on a template and data that can be swapped out.

How is the data refreshed?

The tool can fetch data from connected sources (like Notion or GitHub) or local files. When the data is updated at the source, the visualization can be refreshed to reflect it.

Can I use this for any kind of data?

Yes, as long as the data can be presented in a visualization format. The tool is good for dashboards, reports, and anything that needs up-to-date, reliable data.

Details

Original description by the author

Create refreshable, auditable OpenDesign artifacts backed by connector or local data. Trigger when the user asks for live dashboards, refreshable reports, synced views, or reusable data-backed artifacts.

repo: nexu-io/open-design

Popularity

GitHub stars
101k
Ranking position
#478
License
Apache-2.0
Updated
10/16/2026

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