Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate and send a 5-day Tübingen weather graphic (PNG) from open-meteo.com. Use when Master wants a nicer visual forecast plus summary text for the next few days.
Generate and send a 5-day Tübingen weather graphic (PNG) from open-meteo.com. Use when Master wants a nicer visual forecast plus summary text for the next few days.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Erstellt eine ansprechende PNG-Grafik (max/min-Temperaturen + Regenwahrscheinlichkeit für 5 Tage) auf Basis von Open-Meteo. Ideal für morgendliche Forecast-Posts via Telegram oder Archivierung.
Python 3.11+ matplotlib, numpy, pillow (am einfachsten via virtuelles Environment): python3 -m venv /tmp/tuebingen-plot source /tmp/tuebingen-plot/bin/activate pip install matplotlib
/tmp/tuebingen-plot/bin/python \ skills/tuebingen-weather-graphics/scripts/generate_forecast_graph.py \ --days 5 \ --output data/weather/tuebingen_forecast.png Ausgabe: PNG unter data/weather/... Textzusammenfassung im Terminal (z. B. „Fri 13.02: 5/10°C, Regen 85% | …“)
Cron-Job 07:30 (Beispiel): openclaw cron add <<'JSON' { "name": "tuebingen-forecast-graphic", "schedule": { "kind": "cron", "expr": "30 7 * * *", "tz": "Europe/Berlin" }, "sessionTarget": "isolated", "payload": { "kind": "agentTurn", "model": "default", "message": "Run `/tmp/tuebingen-plot/bin/python skills/tuebingen-weather-graphics/scripts/generate_forecast_graph.py --output data/weather/tuebingen_forecast.png`. Send Master the summary text plus attach the PNG." } } JSON Telegram Versand: message.send mit media=data/weather/tuebingen_forecast.png.
Matplotlib ImportError: Stelle sicher, dass das oben genannte venv aktiv ist oder die Pakete systemweit installiert wurden. Leere Daten: Open-Meteo liefert manchmal keine Regenwahrscheinlichkeit → Script zeigt 0%. Kann im Code angepasst werden. Mehr Tage: --days 7 o. Ä. möglich (die API liefert bis zu 7+ Tage im daily-Block).
scripts/generate_forecast_graph.py – Lädt Daily-Daten, zeichnet Linien/Flächen-Plot + Regen-Balken, speichert PNG.
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