Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate daily Weather Intelligence Digest using NOAA/NWS data with customizable locations and alert monitoring.
Generate daily Weather Intelligence Digest using NOAA/NWS data with customizable locations and alert monitoring.
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Generate a daily Weather Intelligence Digest using NOAA / NWS data.
Dependencies: python3, pip. Optional but recommended: python3 -m venv .venv && source .venv/bin/activate. pip install -r requirements.txt. Copy config.example.json to config.json and customize the locations list with name, lat, lon pairs.
python3 weather_digest.py --config config.json --output digest.md Output is Markdown; convert to PDF/email as needed.
Data source: api.weather.gov (no API key required; feel free to customize the User-Agent string in the script). Each location fetches forecast + alerts; add/remove fields as needed. Extend the template by editing build_digest in weather_digest.py.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.