WeatherPanel Note AI PC

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name: weatherpanel-note-aipc description: > WeatherPanel Note AI PC for Shanghai weather. This skill fetches current weather from Open-Meteo, summarizes the overall conditions with a local LLM through the summarize CLI, updates a local Canvas dashboard, and safely appends the summary to a Markdown note inside a configured Obsidian vault. user-invocable: true metadata: openclaw: emoji: "🌤️" homepage: https://open-meteo.com/en/docs

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WeatherPanel Note AI PC

What this skill does

Fetches current and hourly Shanghai weather from Open-Meteo.

Generates a local summary with the installed summarize CLI.

Updates the Canvas dashboard data for weatherpanel-note-aipc.

Appends summary records to a Markdown note inside the configured Obsidian vault.

Safety and ClawHub alignment

Do not modify HEARTBEAT.md.

Do not change global OpenClaw config.

Do not create or run .bat, .cmd, or .ps1 files.

Do not use Windows Task Scheduler, startup folders, registry persistence, or shell profile persistence.

Do not read generic secret-bearing files such as env.bat.

Only run the Python scripts bundled with this skill.

The weather source is fixed to Shanghai coordinates in bundled code.

The summary step uses a shell-free subprocess call to the fixed command name summarize found on PATH.

The Obsidian step does not invoke obsidian-cli; it writes only to a validated .md path under a configured vault directory inside the user's home directory.

Default action

For a normal invocation, run the bundled pipeline:

python run_weatherpanel.py --mode all

Then tell the user the dashboard is available at the local Canvas path for this skill:

/__openclaw__/canvas/weatherpanel-note-aipc/dashboard.html

Other requests

Refresh weather now:

  python run_weatherpanel.py --mode all
  

Fetch only:

  python run_weatherpanel.py --mode fetch
  

Summarize only:

  python run_weatherpanel.py --mode summarize
  

Flush queued summaries to the Obsidian-compatible Markdown note only:

  python run_weatherpanel.py --mode flush
  

Prepare or refresh just the dashboard asset:

  python run_weatherpanel.py --mode prepare-dashboard
  

Check token cost:

read the file token_cost.json from the Canvas directory for weatherpanel-note-aipc.

Optional configuration

This skill does not require secrets. If needed, it may read a dedicated allowlisted JSON config file at:

~/.openclaw/state/weatherpanel_note_aipc/config.json

Supported keys are limited to:

CANVAS_ROOT

OBSIDIAN_VAULT

OBSIDIAN_NOTE_PATH

OPENCLAW_BASE_URL