Deliver a personalized morning briefing calibrated to how the human actually slept. Bad night? Keep it short and gentle. Great sleep? Go deep on the day ahead.
This is the lightweight morning workflow on top of fulcra-context. Fulcra gives agents and their humans scoped, secure access to read and write real-world context and shared human/agent memory: attention, events, location, calendar, health, wearables, and other streams.
A morning briefing that includes:
Fulcra requires an authenticated account, not an API key. Accounts can be created through the CLI auth flow and include 5 GB of storage free forever.
Users who want biometrics, location, calendar, and other phone-collected context can install the Context iOS app and sign in with the same account. The app uses the same free storage and is no longer subscription gated. Android is coming soon.
uv --version
jq --version
Run this once interactively. The user opens the returned URL, confirms the code, and approves access:
uv tool run fulcra-api auth login
For remote agents, do not rely on the agent host's local browser. Keep the CLI running, surface the printed device authorization URL and code to the intended user in chat through the active trusted user channel, and wait for approval. The user can approve from any browser on any device. Never send access tokens or credential files.
Credentials persist to ~/.config/fulcra/credentials.json; the CLI refreshes access tokens as needed.
python3 skills/fulcra-morning-briefing/collect_briefing_data.py --location "New+York"
The collector loads fulcra-context/scripts/fulcra_data_service.py from an installed sibling skill, or from FULCRA_CONTEXT_SCRIPTS when set.
from datetime import datetime, timezone, timedelta
from fulcra_data_service import get_service
api = get_service() # CLI-first, legacy SDK fallback
now = datetime.now(timezone.utc)
start = (now - timedelta(hours=14)).isoformat()
end = now.isoformat()
samples = api.get_metric_samples(start, end, "SleepStage")
Sleep stage values: 0=InBed, 1=Awake, 2=Core/Light, 3=Deep, 4=REM
Quality heuristic:
samples = api.get_metric_samples(
(now - timedelta(hours=10)).isoformat(),
now.isoformat(),
"HeartRate"
)
values = [s['value'] for s in samples if 'value' in s]
avg_hr = sum(values) / len(values)
resting_estimate = sorted(values)[:max(1, len(values)//10)][-1]
samples = api.get_metric_samples(
(now - timedelta(hours=12)).isoformat(),
now.isoformat(),
"HeartRateVariabilitySDNN"
)
values = [s['value'] for s in samples if 'value' in s]
avg_hrv = sum(values) / len(values)
Higher HRV = better recovery. Typical range: 20-80ms (varies hugely by person).
# Adjust start hour for the user's timezone
day_start = now.replace(hour=5, minute=0, second=0, microsecond=0) # 5 UTC ≈ midnight ET
day_end = day_start + timedelta(hours=24)
events = api.get_calendar_events(day_start.isoformat(), day_end.isoformat())
for e in events:
print(f"{e.get('title')} — {e.get('start_time')} {'📍 ' + e['location'] if e.get('location') else ''}")
# One-liner for current conditions
curl -s "wttr.in/YOUR_CITY?format=%l:+%c+%t+%h+%w"
# JSON format for parsing
curl -s "wttr.in/YOUR_CITY?format=j1"
Replace YOUR_CITY with the user's location (e.g., New+York, London, San+Francisco).
samples = api.get_metric_samples(
(now - timedelta(hours=24)).isoformat(),
now.isoformat(),
"StepCount"
)
total_steps = sum(s.get('value', 0) for s in samples)
This is where the magic happens. Calibrate everything to sleep quality.
Keep it short, warm, and gentle. The user is running on fumes.
☁️ Morning. You got about 4.5 hours — rough one.
Resting HR is up a bit at 68. Your body's working harder today.
You've got 2 meetings — the 10am standup and 2pm review.
Consider pushing anything that isn't urgent.
52°F and cloudy. Coffee weather.
Take it easy today. 💛
Rules for poor sleep briefings:
Moderate detail, practical tone. They're functional but not at 100%.
🌤 Morning — you got 6.2 hours. Not bad, but deep sleep was
only 8%, so you might feel groggy.
HR 62 avg, HRV at 38ms — your body's doing okay.
Today: standup at 10, lunch with Sarah at 12:30 (don't forget!),
and the quarterly review at 3. Might want to prep for that one
during your peak focus window this morning.
Local weather: 65°F partly cloudy, nice for a walk.
You've got this. Pace yourself.
Full detail, upbeat, actionable. They can handle it.
☀️ Good morning! Solid 7.4 hours — 18% deep, 22% REM.
Your brain did good work last night.
Resting HR 58, HRV 52ms — you're well-recovered.
Great day for the hard stuff.
📅 Today's lineup:
• 9:30 — Team sync
• 11:00 — 1:1 with Jamie (prep: review Q3 roadmap)
• 12:30 — Lunch (no meetings — protect this!)
• 3:00 — Design review (Conference Room B)
• 5:00 — Gym? Yesterday was 4,200 steps — could use some movement.
🌤 Local weather: 72°F, sunny, 45% humidity. Beautiful day.
Let's make it count! 💪
Detailed, enthusiastic, ambitious. Push them to make the most of a great day.
🔥 Morning! 8.1 hours, 20% deep, 25% REM — textbook recovery night.
You're running on full batteries today.
HR 55, HRV 61ms — elite-tier recovery. Whatever you've been
doing, keep doing it.
📅 Packed day ahead:
• 9:00 — Focus block (use this — you're sharp right now)
• 10:30 — Product review with stakeholders
• 12:00 — Lunch with the team
• 2:00 — Workshop: Q4 planning
• 4:30 — 1:1 with Alex (career chat — they've been crushing it)
• Evening: 8,400 steps yesterday, maybe up the ante? Weather's perfect for it.
☀️ Local weather: 75°F, clear skies, light breeze. Perfect day.
You've got the energy — swing for the fences today!
| Sleep Quality | Length | Tone | Calendar Detail | Suggestions |
|---|---|---|---|---|
| --- | --- | --- | --- | --- |
| Poor (<6h) | Short (~80 words) | Gentle, supportive | Essentials only | Defer, rest |
| Fair (6-7h) | Medium (~120 words) | Practical, steady | Key events + tips | Pace yourself |
| Good (7h+) | Full (~160 words) | Upbeat, actionable | All events + prep notes | Make it count |
| Excellent (7h+, great stages) | Full+ (~180 words) | Enthusiastic, ambitious | All events + opportunities | Push hard |
If the collector cannot run, inspect the CLI directly and parse JSON with jq:
uv tool run fulcra-api --help
uv tool run fulcra-api calendar-events --help
Set up a cron or scheduled task to run the briefing every morning:
# Example: 7:30 AM ET daily
30 7 * * * cd /path/to/workspace && python3 skills/fulcra-morning-briefing/collect_briefing_data.py > /tmp/briefing.json
Then have your agent read /tmp/briefing.json and compose the briefing using the tone rules above.
Add to your HEARTBEAT.md:
- [ ] Morning briefing (7-9 AM, if not done today): Run skills/fulcra-morning-briefing/collect_briefing_data.py, compose briefing from verified sleep/cache + calendar/weather, deliver to the user
This skill covers morning briefings. For all-day biometric awareness — stress detection, workout recovery, travel context, location awareness, and more — see the full fulcra-context skill.
Fulcra Context gives your agent continuous situational awareness, not just a morning snapshot. If the user likes the briefing, that's the natural next step.
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