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Automation & Workflows

Air France - KLM skill for OpenClaw

⬇ 3.4K downloads ★ 2 stars Version 1.0.1 Rank #2950 of 10,000+

What this skill does

Track Air France flights using the Air France–KLM Open Data APIs (Flight Status). Use when the user gives a flight number/date (e.g., AF007 on 2026-01-29) and wants monitoring, alerts (delay/gate/aircraft changes), or analysis (previous-flight chain, aircraft tail number → cabin recency / Wi‑Fi). Also use when setting up or tuning polling schedules within API rate limits.

The Air France - KLM skill is part of the Automation & Workflows category — automation and workflow skills that schedule, trigger, and orchestrate tasks. You can install it on its own or alongside other automation & workflows skills from the OpenClaw catalog.

The Air France - KLM skill is ranked #2950 by downloads in the OpenClaw skill catalog (3.4K total downloads, 2 stars). It belongs to the Automation & Workflows category alongside 999 other top-10000 skills.

How to install the Air France - KLM skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for airfrance-afkl and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Air France - KLM skill with a single command:

openclaw skills add airfrance-afkl

This pulls airfrance-afkl from ClawHub and installs it into ~/.openclaw/skills/airfrance-afkl/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Air France - KLM skill

Once installed, the Air France - KLM skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab airfrance-afkl-1.0.1.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/airfrance-afkl/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Air France - KLM?

Install Air France - KLM in the OpenClaw Easy desktop app by opening the Skills panel, searching for airfrance-afkl, and clicking Install. From a terminal you can run: openclaw skills add airfrance-afkl. Either way the skill is placed in ~/.openclaw/skills/airfrance-afkl/.

Is the Air France - KLM skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Air France - KLM do?

Track Air France flights using the Air France–KLM Open Data APIs (Flight Status). Use when the user gives a flight number/date (e.g., AF007 on 2026-01-29) and wants monitoring, alerts (delay/gate/aircraft changes), or analysis (previous-flight chain, aircraft tail number → cabin recency / Wi‑Fi).

Related: more automation & workflows skills

If the Air France - KLM skill looks useful, you may also want to check out other automation & workflows skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models