Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Notify when aircraft are overhead within a configurable radius using a local ADS-B SBS/BaseStation feed (readsb port 30003). Use when setting up or troubleshooting plane-overhead alerts, configuring radius/home coordinates/cooldowns, or creating a Clawdbot cron watcher that sends WhatsApp notifications for nearby aircraft.
Notify when aircraft are overhead within a configurable radius using a local ADS-B SBS/BaseStation feed (readsb port 30003). Use when setting up or troubleshooting plane-overhead alerts, configuring radius/home coordinates/cooldowns, or creating a Clawdbot cron watcher that sends WhatsApp notifications for nearby aircraft.
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.
Detect aircraft overhead (within a radius) from a local readsb SBS/BaseStation TCP feed and notify via Clawdbot messaging. This skill is designed for a periodic checker (cron) rather than a long-running daemon.
Run the checker for a few seconds to see if it detects aircraft near you: python3 skills/public/adsb-overhead/scripts/sbs_overhead_check.py \ --host <SBS_HOST> --port 30003 \ --home-lat <LAT> --home-lon <LON> \ --radius-km 2 \ --listen-seconds 5 \ --cooldown-min 15 If it prints lines, those are new alerts (not in cooldown). If it prints nothing, there were no new overhead aircraft during the sample window.
Connect to the SBS feed (TCP) for --listen-seconds. Track latest lat/lon per ICAO hex. Compute distance to --home-lat/--home-lon (Haversine). Emit alerts for aircraft within --radius-km only if not alerted within --cooldown-min. Persist state to a JSON file (default: ~/.clawdbot/adsb-overhead/state.json). SBS parsing assumptions are documented in: references/sbs-fields.md.
Use a Clawdbot cron job to run periodically. The cron job should: exec the script If stdout is non-empty, message.send it via WhatsApp Pseudocode for the agent: Run: python3 .../sbs_overhead_check.py ... If stdout trimmed is not empty: send a WhatsApp message with that text Suggested polling intervals: 30–60 seconds is usually enough (given cooldowns) Use --listen-seconds 3..8 so each run can gather a few position frames
Increase --radius-km if you want fewer misses. Increase --listen-seconds if your feed is busy but you’re missing position updates. Use --cooldown-min to prevent spam (15–60 minutes recommended).
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.