Turn a finished Edge Agents *.workflow.json into a runnable, standalone deployment bundle — the docker-compose package (engine + config + any llama components + any operator-authored custom components) an operator builds and runs on an edge/IoT controller. Drives the fh-workflow CLI's headless deploy, reading the workflow to learn which hardware pins, MQTT brokers, models, and keys it needs, asking the operator to fill or confirm each value, and writing the bundle while keeping secrets as placeholders so nothing sensitive ever lands in the chat. Use this whenever the user wants to deploy, bundle, package, or ship a workflow to a device or controller — e.g. "deploy this flow to my Raspberry Pi", "make a deployment bundle for the edge", "bundle workflow.json so I can run it on the controller", "ship my agent to the device", "put this workflow on the controller" — even when they don't say the word "bundle", and as the natural next step after generating a workflow. Not for building or editing the workflow graph itself (that is workflow-generate, or fh-workflow open) and not for cloud deployment.
$npx -y skills add foresthubai/edge-agents --skill workflow-deployInstalls into the current project.
Run `npx skills use "https://github.com/foresthubai/edge-agents" --skill "foresthubai/edge-agents/workflow-deploy"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/foresthubai/edge-agents" that are relevant to the current task. Run `npx skills add "https://github.com/foresthubai/edge-agents"` and select the relevant skills, then follow their instructions.