Downloads

🚧 Work in progress

These files are still being tested and may be updated before the event. Re-download on the day.

Everything for AI Flight Academy scenarios. Files download straight from this site - no GitHub account, no cloning.

Scenario 1 · The Digital Twin

🟢 Cowork

🧬Your twinReads your mail, Teams and calendar through Work IQ, then writes and installs itself. Upload this file straight into Cowork.Download SKILL.md →

Installing it: Cowork → Customize → Skills → Add ▾ → Upload skill → pick the downloaded SKILL.md. Then start a new task - skills are only discovered when a task begins.

🔵 Scout

🧬Your twinThe skill, plus one worked example of something built on it. Unzip and import the folder.Download .zip →

Installing it: unzip it, then Scout → Extensions → Import → drag in the my-twin folder. Then start a new session - skills are only discovered at session start. Say set up my twin.

Import the folder, not the file

The templates and the example extension sit next to SKILL.md. Dragging in the file on its own leaves them behind.

The page needs Node 18+ - check with node --version. Without it the twin still works; you just won't get the page.

🟣 Code

📦StarterA fictional twin, ready to answer. One call that reaches it from Python, a worked example, and an MCP server.Download .zip →

Unzip and open the folder in VS Code. The Copilot CLI finds the twin in .github/skills/ on its own - there is nothing to register.

The twin arrives pre-populated with fictional data - a made-up engineer at a made-up company - so it answers straight away and no personal data is involved. DISCLAIMER.md in the starter covers what's invented and how to point it at your own work afterwards.

One-line setup in a terminal

PowerShell:

$u='https://microsoftlearning.github.io/AI-Flight-Academy/downloads/twin-code-starter.zip'
$z="$env:TEMP\tcs.zip"; iwr $u -OutFile $z
Expand-Archive $z -DestinationPath "$HOME\twin-code" -Force
code "$HOME\twin-code\twin-code-starter"

macOS / Linux:

curl -L -o /tmp/tcs.zip https://microsoftlearning.github.io/AI-Flight-Academy/downloads/twin-code-starter.zip
unzip -q /tmp/tcs.zip -d ~/twin-code
code ~/twin-code/twin-code-starter

Scenario 2 · Dispatch

Seat a room of Global Skilling teams over an incoming skilling request so the positions split, then have the room land one routing decision - who fields it, who it's for, and a plan of deliverables built once and reused across teams. All three altitudes share the same data pack - sample requests, the team cards, and the routing policy.

🟢 Cowork · 🔵 Scout

🟢DispatchThe Dispatch skill - the room that seats teams, takes positions, and lands one routing decision.Download .zip →🗂️Data packSample requests, the Global Skilling team cards, and the routing policy.Download .zip →

Cowork: Customize → Skills → Add ▾ → Upload skill → the whole the-dispatch.zip. Start a new session, attach the data pack, and say seat the room and dispatch RQ-01.

Scout: unzip, then Extensions → Import → drag in the the-dispatch folder. Start a new session and point it at the dispatch-data folder.

🟣 Code

📦Starter repoThe dashboard, a seated room, the intake gate, and the MCP server.Download .zip →🟢The Dispatch skillSame skill - the seat / dispatch verbs and the single-triager control.Download .zip →🗂️Data packThe requests the room routes.Download .zip →

Unzip all three so the-dispatch-starter, the-dispatch, and dispatch-data sit side by side - the dashboard and check_content.py expect the data pack as a sibling. Then open the-dispatch.code-workspace in VS Code.

One-line setup in a terminal

PowerShell:

$base='https://microsoftlearning.github.io/AI-Flight-Academy/downloads'
$dest="$HOME\the-dispatch"
foreach ($n in 'the-dispatch-starter','the-dispatch','dispatch-data-pack') {
  $z="$env:TEMP\$n.zip"; iwr "$base/$n.zip" -OutFile $z
  Expand-Archive $z -DestinationPath $dest -Force
}
code "$dest\the-dispatch-starter\the-dispatch.code-workspace"

macOS / Linux:

base=https://microsoftlearning.github.io/AI-Flight-Academy/downloads
dest=~/the-dispatch
for n in the-dispatch-starter the-dispatch dispatch-data-pack; do
  curl -L -o /tmp/$n.zip $base/$n.zip
  unzip -q /tmp/$n.zip -d $dest
done
code $dest/the-dispatch-starter/the-dispatch.code-workspace

Scenario 3 · The Ambassador

A working cohort picker that ships nine data files and reads one of them. Cowork and Scout share the same skill; Code gets a starter with the data already wired in.

🟢 Cowork · 🔵 Scout

🎖️AmbassadorThe skill, the definition it runs on, and three worked alternatives.Download .zip →🗂️Program data72 fictional candidates and ~2,000 evidence records across nine CSVs.Download .zip →

Cowork: Customize → Skills → Add ▾ → Upload skill → the whole ambassador-skill.zip. Start a new session, attach CandidateProfiles.csv, and say run the ambassador program.

Scout: unzip, then Extensions → Import → drag in the ambassador folder. Start a new session and point it at the program-data folder.

🟣 Code

📦StarterA working cohort picker, three alternative definitions, and the nine data files.Download .zip →

Self-contained. Unzip, then:

cd ambassador-starter
python run.py

Python 3.10+, no dependencies.