InfoDashboard

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name: infodashboard description: Guided SOP for setting up and using InfoDashboard from OpenClaw. Use when the user wants to clone the InfoDashboard repo, configure database and LLM keys, start the service, or generate a Streamlit dashboard from a natural-language requirement. Run one phase at a time and ask for confirmation before each state-changing step. user-invocable: true metadata: { "openclaw": { "emoji": "🏭" } }

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InfoDashboard Skill

Use this as a guided, confirmation-heavy SOP. Do not compress the whole setup into one reply and do not perform state-changing actions without explicit user confirmation.

Core Rules

Move one phase at a time.

Before any state-changing action, ask for confirmation.

If local state already exists, show what you found and ask whether to keep it.

InfoDashboard generation uses server-side provider config, not the OpenClaw agent's own model or API key.

This skill must not rely on any request-time model or provider overrides.

Only server-side config files (.env.local) may control LLM provider selection.

Do not ask the user to paste API keys or database passwords into chat.

Prefer guiding the user to edit .env.local themselves.

Do not offer to write secrets into config files on the user's behalf.

Once setup is complete and the user clearly asks to generate a dashboard, do not ask for a second confirmation before submitting the generation request.

Optional Skill Config

If present, read defaults from ~/.openclaw/openclaw.json under:

{
  "skills": {
    "entries": {
      "infodashboard": {
        "enabled": true,
        "config": {
          "repoDir": "/path/to/InfoDashboard",
          "url": "http://localhost:8001"
        }
      }
    }
  }
}

Use repoDir and url only as defaults. Still confirm before acting.

SOP Phases

1. Clone Or Reuse Existing Repo

Load references/clone.md.

Establish which InfoDashboard checkout to use. If a checkout already exists, show the path and ask whether to reuse it.

2. Configure Environment

Load references/config.md.

Configure .env.local with LLM provider keys and database connection details. This includes verifying that Docker and the frpc SOCKS5 tunnel are in place.

3. Start And Verify

Load references/startup.md.

Start the FastAPI server and confirm it is healthy at GET {url}/.

4. Generate A Dashboard

Load references/generate-flow.md.

Submit the user's natural-language requirement and follow the SSE stream until a dashboard URL is returned.

Response Style

Keep each step short and explicit.

Prefer 2-3 concrete options when the user must choose.

Always include the recommended option first and explain why in one sentence.

After a step completes, say what changed and what the next confirmation is for.

When returning a dashboard URL, place the raw absolute URL on its own line with no bold, markdown link syntax, code formatting, or tables.