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Publish Artifact To Sites

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ahang1598
publish-artifact-to-sites

Publish a validated Data Analytics report or dashboard artifact through Sites. Use automatically for durable artifacts in any positively identified Work Mode when the full Sites lifecycle is callable, or in ChatGPT Desktop outside Work Mode only after an explicit Sites request or acceptance of the optional post-handoff sharing offer.

Overview

Publisherahang1598
Repositorydoubao-workbuddy-qwenwork-skills
Skill namepublish-artifact-to-sites
Stars
90
Forks
35
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ahang1598 on GitHub. Read the source before you install it.

Installation

Install the Publish Artifact To Sites AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ahang1598/doubao-workbuddy-qwenwork-skills/tree/main/chatgpt/plugins/openai-curated-remote/data-analytics/0.2.8-13ceeea1f599/skills/publish-artifact-to-sites
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ahang1598/doubao-workbuddy-qwenwork-skills.git /tmp/doubao-workbuddy-qwenwork-skills
mkdir -p .claude/skills
cp -r /tmp/doubao-workbuddy-qwenwork-skills/chatgpt/plugins/openai-curated-remote/data-analytics/0.2.8-13ceeea1f599/skills/publish-artifact-to-sites .claude/skills/publish-artifact-to-sites
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Publish Artifact To Sites in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Publish Artifact To Sites on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Publish Artifact To Sites is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Publish Artifact To Sites

Use this skill after the report or dashboard workflow produces a complete canonical manifest and bounded snapshot and validate_artifact succeeds. It publishes the Data Analytics reader runtime as a Sites-hosted snapshot; it does not add live source connections to the Site.

Routing Contract

  • In any positively identified Work Mode, a durable report or dashboard request selects Sites automatically when the full Sites building and hosting lifecycle is callable. Do not ask for another delivery choice or publish confirmation.
  • In ChatGPT Desktop outside Work Mode, use this skill only after the user explicitly requests Sites or explicitly accepts the optional coworker-sharing offer made after a successful final MCP artifact handoff. A report or dashboard request alone does not authorize publishing there.
  • If the full Sites lifecycle is not callable in Work Mode, use the self-contained HTML fallback selected by the owning report or dashboard workflow.

Workflow

  1. Confirm that $sites-building and $sites-hosting are both callable for the full Sites create, checkpoint, and deployment lifecycle.
  2. Invoke $sites-building to create or reopen one worker-starter checkout per logical report or dashboard. For a new Site, select the worker starter (--starter worker). Reuse that Site for later versions.
  3. Read the Site's current access policy with the Sites connector. Treat a workspace Site as verifiably owner-only only when it is custom, has exactly one allowed_account_user_id, its sole allowed_users entry has the same account-user id and a non-empty email, and it has no allowed groups. If the user asked to widen reader access, defer that access change until after the package is exported so the verified creator seed is not lost. Do not infer a creator from an already-shared reader allowlist.
  4. Call export_artifact_package with the validated payload, the Sites project id in the compatibility field site_creator_project_id, and the returned checkout path as output_dir. When the current workspace policy is verifiably owner-only, pass its sole resolved email as site_editor_email; the exporter hashes it before writing source. Otherwise omit the field so an existing editor seed or explicit disabled state is preserved. Pass site_editor_email: null only when the user explicitly asks to disable presentation editing. After export succeeds, apply any reader-access change the user explicitly requested, then checkpoint and deploy with the same approval boundary.
  5. Verify that every returned source/schema/hosting path is inside the checkout, and separately verify that the hosting metadata contains the resolved project id. Presentation editing requires the logical D1 binding DB; do not replace another binding name. A read-only export may omit database_schema_path.
  6. Checkpoint the checkout through $sites-building, then invoke $sites-hosting to poll the deployment to a terminal state.
  7. Return the Sites URL and artifact snapshot timestamp, and state that the published data is a snapshot rather than a live connection. When presentation editing is enabled, state that only the seeded creator can edit title/text/layout, delete blocks, or launch refresh and export handoffs; saved presentation overrides remain in Sites rather than syncing back to ChatGPT Desktop.

Fallbacks And Failures

  • If the full Sites lifecycle is unavailable or publishing fails after one targeted retry in Work Mode, automatically switch to the owning workflow's self-contained HTML mode, state the failed stage briefly, and do not claim that a Site was published.
  • If the user explicitly requested only Sites, report the blocker instead of switching surfaces without their consent.

Frequently asked questions

What does the Publish Artifact To Sites AI skill do?

Publish a validated Data Analytics report or dashboard artifact through Sites. Use automatically for durable artifacts in any positively identified Work Mode when the full Sites lifecycle is callable, or in ChatGPT Desktop outside Work Mode only after an explicit Sites request or acceptance of the optional post-handoff sharing offer.

Why use Publish Artifact To Sites on TypingMind?

Because you install it once and use it with any model. Publish Artifact To Sites is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Publish Artifact To Sites in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahang1598/doubao-workbuddy-qwenwork-skills/tree/main/chatgpt/plugins/openai-curated-remote/data-analytics/0.2.8-13ceeea1f599/skills/publish-artifact-to-sites. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Publish Artifact To Sites?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Publish Artifact To Sites?

As many as you like. As long as a model supports skills, you can use Publish Artifact To Sites with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Publish Artifact To Sites AI skill free?

It is published on GitHub by ahang1598. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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