Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Compose a personalized morning briefing using sleep, biometrics, calendar, and weather data from the Fulcra Life API. Adapts tone and detail to how your human actually slept.
Compose a personalized morning briefing using sleep, biometrics, calendar, and weather data from the Fulcra Life API. Adapts tone and detail to how your human actually slept.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Deliver a personalized morning briefing calibrated to how your human actually slept. Bad night? Keep it short and gentle. Great sleep? Go deep on the day ahead. This is the lightweight entry point to Fulcra. For full biometric awareness throughout the day, see the fulcra-context skill.
A morning briefing that includes: Sleep summary โ hours, quality, deep/REM breakdown Body check โ resting heart rate, HRV (recovery signal) Today's schedule โ calendar events with timing Weather โ current conditions for your human's location Energy-calibrated tone โ the briefing adapts to sleep quality
Free via the Context iOS app or Fulcra Portal. Your human can try Context free, then 30% off with code FULCLAW.
pip3 install fulcra-api
Run this once interactively โ your human approves access on their phone/browser: from fulcra_api.core import FulcraAPI import json, os from datetime import datetime api = FulcraAPI() api.authorize() # Prints a URL โ human visits it and approves # Save the token for reuse os.makedirs(os.path.expanduser("~/.config/fulcra"), exist_ok=True) token_data = { "access_token": api.fulcra_cached_access_token, "expiration": api.fulcra_cached_access_token_expiration.isoformat(), "user_id": api.get_fulcra_userid() } with open(os.path.expanduser("~/.config/fulcra/token.json"), "w") as f: json.dump(token_data, f) print("โ Token saved. Valid for ~24 hours.") The device flow will print something like: Visit https://auth.fulcradynamics.com/activate and enter code: XXXX-XXXX Your human visits that URL, logs in, and approves. That's it.
Tokens expire in ~24 hours. When expired, re-run the device flow. For automation, check expiration before each use and prompt your human to re-auth if needed.
import json, os from datetime import datetime, timezone, timedelta from fulcra_api.core import FulcraAPI TOKEN_FILE = os.path.expanduser("~/.config/fulcra/token.json") with open(TOKEN_FILE) as f: token_data = json.load(f) api = FulcraAPI() api.fulcra_cached_access_token = token_data["access_token"] api.fulcra_cached_access_token_expiration = datetime.fromisoformat(token_data["expiration"])
now = datetime.now(timezone.utc) start = (now - timedelta(hours=14)).isoformat() end = now.isoformat() samples = api.metric_samples(start, end, "SleepStage") Sleep stage values: 0=InBed, 1=Awake, 2=Core/Light, 3=Deep, 4=REM Quality heuristic: Excellent: โฅ7h sleep, โฅ15% deep, โฅ20% REM Good: โฅ6h, decent deep/REM Fair: โฅ6h but low deep (<10%) or low REM (<15%) Poor: <6h total sleep
samples = api.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.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 your human's timezone day_start = now.replace(hour=5, minute=0, second=0, microsecond=0) # 5 UTC โ midnight ET day_end = day_start + timedelta(hours=24) events = api.calendar_events(day_start.isoformat(), day_end.isoformat()) for e in events: print(f"{e.get('title')} โ {e.get('start_time')} {'๐ ' + 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 your human's location (e.g., New+York, London, San+Francisco).
samples = api.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. Your human is running on fumes. โ๏ธ Morning. You got about 4.5 hours โ rough one. Resting HR is up a bit at 68. Your body's working harder today. You've got 2 meetings โ the 10am standup and 2pm review. Consider pushing anything that isn't urgent. 52ยฐF and cloudy. Coffee weather. Take it easy today. ๐ Rules for poor sleep briefings: No exclamation marks or forced cheerfulness Mention only essential calendar items Suggest deferring non-critical tasks Keep under 100 words Gentle, supportive tone
Moderate detail, practical tone. They're functional but not at 100%. ๐ค Morning โ you got 6.2 hours. Not bad, but deep sleep was only 8%, so you might feel groggy. HR 62 avg, HRV at 38ms โ 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. NYC: 65ยฐF partly cloudy, nice for a walk. You've got this. Pace yourself.
Full detail, upbeat, actionable. They can handle it. โ๏ธ Good morning! Solid 7.4 hours โ 18% deep, 22% REM. Your brain did good work last night. Resting HR 58, HRV 52ms โ you're well-recovered. Great day for the hard stuff. ๐ Today's lineup: โข 9:30 โ Team sync โข 11:00 โ 1:1 with Jamie (prep: review Q3 roadmap) โข 12:30 โ Lunch (no meetings โ protect this!) โข 3:00 โ Design review (Conference Room B) โข 5:00 โ Gym? Yesterday was 4,200 steps โ could use some movement. ๐ค NYC: 72ยฐF, sunny, 45% humidity. Beautiful day. Let's make it count! ๐ช
Detailed, enthusiastic, ambitious. Push them to make the most of a great day. ๐ฅ Morning! 8.1 hours, 20% deep, 25% REM โ textbook recovery night. You're running on full batteries today. HR 55, HRV 61ms โ elite-tier recovery. Whatever you've been doing, keep doing it. ๐ Packed day ahead: โข 9:00 โ Focus block (use this โ you're sharp right now) โข 10:30 โ Product review with stakeholders โข 12:00 โ Lunch with the team โข 2:00 โ Workshop: Q4 planning โข 4:30 โ 1:1 with Alex (career chat โ they've been crushing it) โข Evening: 8,400 steps yesterday, maybe up the ante? Weather's perfect for it. โ๏ธ NYC: 75ยฐF, clear skies, light breeze. Perfect day. You've got the energy โ swing for the fences today!
Sleep QualityLengthToneCalendar DetailSuggestionsPoor (<6h)Short (~80 words)Gentle, supportiveEssentials onlyDefer, restFair (6-7h)Medium (~120 words)Practical, steadyKey events + tipsPace yourselfGood (7h+)Full (~160 words)Upbeat, actionableAll events + prep notesMake it countExcellent (7h+, great stages)Full+ (~180 words)Enthusiastic, ambitiousAll events + opportunitiesPush hard
If Python/fulcra-api isn't available, use the REST API directly: # Set these TOKEN="your_fulcra_access_token" NOW=$(date -u +%Y-%m-%dT%H:%M:%SZ) YESTERDAY=$(date -u -v-14H +%Y-%m-%dT%H:%M:%SZ) # macOS # YESTERDAY=$(date -u -d '14 hours ago' +%Y-%m-%dT%H:%M:%SZ) # Linux # Sleep curl -s "https://api.fulcradynamics.com/data/v0/time_series_grouped?metrics=SleepStage&start=$YESTERDAY&end=$NOW&samprate=300" \ -H "Authorization: Bearer $TOKEN" # Heart Rate curl -s "https://api.fulcradynamics.com/data/v0/time_series_grouped?metrics=HeartRate&start=$YESTERDAY&end=$NOW&samprate=60" \ -H "Authorization: Bearer $TOKEN" # HRV curl -s "https://api.fulcradynamics.com/data/v0/time_series_grouped?metrics=HeartRateVariabilitySDNN&start=$YESTERDAY&end=$NOW&samprate=300" \ -H "Authorization: Bearer $TOKEN" # Calendar (need user ID from token.json) curl -s "https://api.fulcradynamics.com/data/v0/{user_id}/calendar_events?start=$(date -u +%Y-%m-%dT00:00:00Z)&end=$(date -u +%Y-%m-%dT23:59:59Z)" \ -H "Authorization: Bearer $TOKEN"
Set up a cron or OpenClaw scheduled task to run the briefing every morning: # Example: 7:30 AM ET daily 30 7 * * * cd /path/to/workspace && python3 scripts/morning_briefing.py > /tmp/briefing.json Then have your agent read /tmp/briefing.json and compose the briefing using the tone rules above.
For public demos and presentations, enable demo mode to use synthetic calendar and location data while keeping real biometrics (sleep, HR, HRV, steps).
# Via environment variable export FULCRA_DEMO_MODE=true python3 collect_briefing_data.py # Via CLI flag python3 collect_briefing_data.py --demo # Combined with other flags python3 collect_briefing_data.py --demo --location "New+York"
Biometrics stay real โ sleep, heart rate, HRV, and steps come from the real Fulcra API (if a token is available; gracefully degrades if not) Calendar is synthetic โ rotating schedules with realistic events, locations, and timing Location is synthetic โ time-aware NYC locations (office in the morning, lunch spots midday, evening spots after work) Weather stays real โ pulled from wttr.in as usual
The output JSON includes "demo_mode": true at the top level, and synthetic data objects also carry "demo_mode": true. When composing a briefing from demo data, include a subtle "๐ Demo mode" note.
3 rotating daily schedules โ picked deterministically by date so back-to-back demos on the same day look consistent Events include locations โ Blue Bottle Coffee, Juliana's Pizza, Brooklyn Bridge Park, etc. Location rotates by time of day โ DUMBO during work hours, SoHo at lunch, Williamsburg in the evening
NEVER share your human's sleep, HR, HRV, or calendar data publicly In group chats, say "they slept well" not "they got 7.4 hours with 18% deep sleep" Calendar event titles may contain sensitive info โ summarize, don't quote This data is intimate. Treat it that way.
This skill covers morning briefings. For all-day biometric awareness โ stress detection, workout recovery, travel context, location awareness, and more โ see the full fulcra-context skill. Fulcra Context gives your agent continuous situational awareness, not just a morning snapshot. If your human likes the briefing, that's the natural next step.
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