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Live Artifact

Free

Create refreshable, auditable data-backed artifacts.

by nexu-io84.9k stars on nexu-io/open-design
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Updated Aug 10, 2026
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Free · Opens the source repo

What Live Artifact does

The Live Artifact Skill enables users to create Open Design artifacts that are not only visually appealing but also dynamic and capable of being refreshed with new data. This skill is particularly useful for developers and designers who need to present data in a live format, such as dashboards or reports, where the underlying data can change over time. By leveraging local or connector-backed data, users can ensure that their presentations remain relevant and up-to-date without the need for redesigning the entire artifact.

When using this skill, users can define the scope of their project and choose data sources without being blocked by the need for connected connectors. The workflow emphasizes efficiency, allowing for the quick assembly of HTML artifacts that can be updated as data changes. The skill provides a structured approach to authoring the necessary source files, including templates and data files, ensuring that the resulting artifacts meet the required standards for refreshability and data provenance.

The Live Artifact Skill is ideal for those who need to create artifacts that are not static but require ongoing updates. This includes scenarios like live dashboards that pull data from various sources, refreshable reports that need to reflect the latest information, and synced views that provide real-time insights. The skill also emphasizes safety and compliance, ensuring that sensitive information is not stored in the artifacts, thus maintaining data integrity and security.

In summary, if you are looking to create data-driven presentations that need to be updated regularly, the Live Artifact Skill is a valuable tool that streamlines the process of developing refreshable, auditable artifacts backed by reliable data sources.

When to use it

Use this skill when you need to create live dashboards, refreshable reports, or any data-backed views that should remain useful after the initial render.

When not to use it

Avoid this skill if you only need a one-off static artifact without the need for refresh or data tracking.

What you can build with it

Creating a Live Dashboard

Use the skill to set up a live dashboard that pulls data from a connected source, allowing real-time updates.

Generating Refreshable Reports

Create reports that automatically refresh with the latest data, ensuring stakeholders always see current information.

Building Auditable Data Views

Develop views that track data provenance and can be refreshed, providing transparency and accountability.

How to install Live Artifact

View source

1. Install with the skills CLI

npx skills add nexu-io/open-design/live-artifact --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by nexu-io

Live Artifact Skill

Create an Open Design 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.
    • Write provenance.json with concise source notes, timestamps, non-sensitive connector references, and transformation notes.
    • Do not author index.html as source. The daemon derives index.html from template.html and data.json.
  3. Keep data compact and preview-oriented

    • Store only normalized values needed by the preview.
    • Summarize large lists, provider responses, or logs before writing them into data.json.
    • Stay within the bounded JSON rules in references/artifact-schema.md.
  4. Apply safety rules before registration

    • Never store credentials, OAuth tokens, API keys, cookies, auth headers, raw provider responses, HTTP envelopes, full payloads, or secret-like fields in artifact.json, data.json, provenance.json, or source metadata.
    • Avoid forbidden key names such as raw, rawResponse, payload, body, headers, cookie, authorization, token, secret, credential, and password anywhere in persisted JSON.
    • Use escaped html_template_v1 interpolation only. Raw/unescaped HTML interpolation is not allowed.
  5. Register or update through daemon wrappers

    • Use the Open Design daemon wrapper commands via "$OD_NODE_BIN" "$OD_BIN" instead of raw curl, bare node, or bare od:

      "$OD_NODE_BIN" "$OD_BIN" tools live-artifacts create --input artifact.json
      "$OD_NODE_BIN" "$OD_BIN" tools live-artifacts list --format compact
      "$OD_NODE_BIN" "$OD_BIN" tools live-artifacts update --artifact-id "$ARTIFACT_ID" --input artifact.json
      
    • The wrapper reads injected OD_NODE_BIN, OD_BIN, OD_DAEMON_URL, and OD_TOOL_TOKEN; do not print, persist, or override token values.

    • Do not include or invent projectId; the daemon derives project/run scope from the token.

    • Use raw HTTP only for daemon development/debugging when explicitly requested.

  6. Use connector wrappers for connector data

    • Discover available connectors and tools:

      "$OD_NODE_BIN" "$OD_BIN" tools connectors list --format compact
      
    • Execute a read-only connector tool with a JSON object input file:

      "$OD_NODE_BIN" "$OD_BIN" tools connectors execute --connector "$CONNECTOR_ID" --tool "$TOOL_NAME" --input input.json
      
    • Persist only the compact normalized fields needed by the preview plus non-sensitive connector references (connectorId, toolName, accountLabel). Never persist connector credentials, transport metadata, or raw provider output.

    • Do not ask for connector secrets or duplicate setup. If status is connected, use the listed tools; if it is not connected, tell the user to connect it in the UI.

    • See references/connector-policy.md for listing/execution and credential boundaries, and references/refresh-contract.md for read-only refresh source metadata.

  7. Report concise results

    • On success, return the artifact ID/title and note that index.html is daemon-derived.
    • On validation failure, fix the source files and retry through the wrapper. Do not bypass validation.

Required files

Every live artifact creation flow must produce these source files before registration:

  • template.html — declared skill output and source template for the preview.
  • data.json — compact, canonical preview data.
  • artifact.json — create/update input for daemon validation.
  • provenance.json — safe source and transformation summary.

index.html is the primary preview entry declared in frontmatter, but it is derived daemon output rather than agent-authored source.

Frequently asked questions about Live Artifact

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