Close the last onboarding gap: one shareable App Lab app a student imports and Runs, no adb / no host install. - package-onboard-app.sh: assemble a self-contained bundle — ZeroClaw binary (matrix_text + i2c_scan), single-agent config, skills, responder sketch, and the BAKED cloud token. Ships without .secret_key (each board mints its own) or a team Telegram token; dist/ is gitignored. - onboard-app/config.toml: the canonical packaged config (proven anthropic.max single 'default' agent, matrix + i2c_scan allowlisted, Telegram-ready, secrets stripped). - ONBOARDING.md: the full flow — instructor packages once, student imports + Runs, then the wizard. Notes APESS_URL (mDNS/per-team) + LAN reachability. Validated on-hardware: a freshly-imported bundle mints its key, boots the cloud agent, and runs the matrix + i2c_scan prompts in-container. Co-Authored-By: Claude Opus 4.8 <[email protected]>
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APESS onboarding — fully containerized
A team needs two things running: the APESS stack on their laptop and the ZeroClaw node on their Uno Q. Both are containers. Nothing installs to a host.
LAPTOP: docker compose up → apess-api + apess-web (deploy/lan)
BOARD : App Lab → Run → ONE container = daemon + relay + responder
Everything a team does — say-hi, the module chat, Refine, Telegram, the LED
matrix, the I2C scan — runs through this. The board never needs the Zephyr flash
toolchain or Linux /dev/i2c: the matrix is driven by a resident responder and
I2C is scanned on the MCU (Wire), both over the RouterBridge relay.
1. Instructor — build the distributable app (once)
Bake the cloud token + all assets into a shareable App Lab app:
export ANTHROPIC_OAUTH_TOKEN=sk-ant-oat01-… # baked into the bundle
./deploy/uno-q/package-onboard-app.sh # → deploy/uno-q/dist/apess-onboard
The bundle contains: the ZeroClaw binary (matrix_text + i2c_scan), the
single-default-agent config (matrix + i2c_scan allowlisted, Telegram-ready),
the skills, the responder sketch, and the baked token. It ships without a
.secret_key (each board mints its own on first Run) and without any team's
Telegram token. The dist/ output is gitignored (it holds the token).
Import it once to smoke-test, or share it to students:
arduino-app-cli app new --from-app deploy/uno-q/dist/apess-onboard # instructor test
# then in App Lab: open the app → Share → QR
2. Student — bring up their board (fresh OR pre-existing)
- Open App Lab on the Uno Q (it ships with the board).
- Import the "APESS Onboard" app (scan the QR).
- Click Run. The node comes up in one container: it flashes the resident
responder, launches the cloud agent, mints its
.secret_key, self-registers to the team's APESS laptop, and scrolls a claim code on the LED matrix.
Fresh or pre-existing board is identical — Run is idempotent; it just (re)starts the node.
3. Student — the wizard (laptop)
- Open
http://<laptop>/→ Start the workshop. - Phase 1: team name + members → type the claim code the matrix is
scrolling → board bound (state persists in
localStorage; a Disconnect button is the only thing that drops it). - Say hi to the agent, optionally set up Telegram (writes the token to the node and reloads it), toggle Voice.
- Phase 2: open the node, name the domain. Then the modules.
APESS_URL — how the board finds the laptop
The board self-registers to APESS_URL (default http://apess-api.local:3000).
Options, easiest first:
- mDNS: have the
deploy/lanbox advertiseapess-api.local(zero-config for students). - Per-team: set
APESS_URLin the app's.zeroclaw/apess-node.env, or passAPESS_URL=http://<laptop-ip>:3000when packaging.
Reachability
The laptop's API must reach the board over the workshop WiFi. Verify the AP
allows client-to-client traffic (many guest networks isolate clients). See
deploy/lan/README.md.