name: strava description: Query Strava fitness data including activities, stats, and athlete info. Use when the user asks about their Strava data, running or cycling activities, workout history, fitness stats, "how far did I run", "my cycling stats", "Strava activities", or wants to analyze exercise data from Strava.

Strava Skill

Query Strava fitness data by writing UV inline Python scripts using stravalib.

Setup

Credentials

Requires STRAVA_CLIENT_ID and STRAVA_CLIENT_SECRET in workspace/.env.

If not set, walk the user through creating a Strava API application:

Go to https://www.strava.com/settings/api
Create an application (any name, set Authorization Callback Domain to localhost)
Copy the Client ID and Client Secret

Then append to .env:

echo 'STRAVA_CLIENT_ID=their_client_id' >> .env
echo 'STRAVA_CLIENT_SECRET=their_client_secret' >> .env

Authentication

Strava uses OAuth2. Generate an auth link, send it to the user, then ask them to paste back the redirect URL.

Step 1: Generate auth URL

set -a; source .env 2>/dev/null; set +a; uv run - <<'EOF'
# /// script
# requires-python = ">=3.11"
# dependencies = ["stravalib>=2.4"]
# ///
import os
from stravalib import Client

client = Client()
url = client.authorization_url(
    client_id=int(os.environ["STRAVA_CLIENT_ID"]),
    redirect_uri="http://localhost/callback",
    scope=["read", "activity:read", "activity:read_all", "profile:read_all"]
)
print(f"URL: {url}")
EOF

Send the URL to the user as a clickable link. Tell them:

Click the link and authorize the app
The browser will redirect to a page that won't load (localhost) — that's expected
Copy the full URL from the browser address bar and paste it back here

Step 2: Exchange code for tokens (after user pastes the redirect URL)

Extract the code parameter from the URL the user pastes (it's in ?code=...&), then:

set -a; source .env 2>/dev/null; set +a; uv run - "THE_CODE_HERE" <<'EOF'
# /// script
# requires-python = ">=3.11"
# dependencies = ["stravalib>=2.4"]
# ///
import json, os, sys
from pathlib import Path
from stravalib import Client

client = Client()
tokens = client.exchange_code_for_token(
    client_id=int(os.environ["STRAVA_CLIENT_ID"]),
    client_secret=os.environ["STRAVA_CLIENT_SECRET"],
    code=sys.argv[1]
)

Path("strava-tokens.json").write_text(json.dumps({
    "access_token": tokens["access_token"],
    "refresh_token": tokens["refresh_token"],
    "expires_at": tokens["expires_at"],
    "athlete_id": tokens.get("athlete", {}).get("id")
}, indent=2))
Path("strava-tokens.json").chmod(0o600)

print(f"SUCCESS: Tokens saved")
EOF

Query Template

set -a; source .env 2>/dev/null; set +a; uv run - <<'EOF'
# /// script
# requires-python = ">=3.11"
# dependencies = ["stravalib>=2.4"]
# ///
import json, os, logging
from datetime import datetime, timedelta
from pathlib import Path
from stravalib import Client

logging.getLogger().setLevel(logging.ERROR)

TOKEN_FILE = Path("strava-tokens.json")
if not TOKEN_FILE.exists():
    print("ERROR: Not authenticated — run Strava setup first")
    exit(1)

tokens = json.loads(TOKEN_FILE.read_text())
client = Client()

# Auto-refresh expired tokens
if datetime.now().timestamp() >= tokens["expires_at"] - 60:
    new = client.refresh_access_token(
        client_id=int(os.environ["STRAVA_CLIENT_ID"]),
        client_secret=os.environ["STRAVA_CLIENT_SECRET"],
        refresh_token=tokens["refresh_token"]
    )
    tokens["access_token"] = new["access_token"]
    tokens["refresh_token"] = new["refresh_token"]
    tokens["expires_at"] = new["expires_at"]
    TOKEN_FILE.write_text(json.dumps(tokens, indent=2))

client.access_token = tokens["access_token"]

# === YOUR QUERY CODE HERE ===
for activity in client.get_activities(limit=5):
    dist_km = float(activity.distance) / 1000
    print(f"{activity.start_date_local.date()}: {activity.name} - {dist_km:.1f}km")
EOF

API Reference

Client Methods

Method	Returns	Description
`client.get_athlete()`	Athlete	Current user's profile
`client.get_athlete_stats(athlete_id)`	AthleteStats	Aggregated statistics
`client.get_activities(limit=N, after=date, before=date)`	Iterator[SummaryActivity]	List activities
`client.get_activity(activity_id)`	DetailedActivity	Single activity with full details

Activity Fields (SummaryActivity)

Field	Type	Description
`id`	int	Activity ID
`name`	str	Activity name
`type`	str	"Run", "Ride", "Swim", etc.
`sport_type`	str	More specific type (e.g., "TrailRun")
`distance`	Distance	Meters (use `float()` to convert)
`moving_time`	Duration	Seconds as int (use `.timedelta()` for timedelta)
`elapsed_time`	Duration	Seconds as int
`total_elevation_gain`	Distance	Meters climbed
`average_speed` / `max_speed`	Velocity	m/s
`average_heartrate` / `max_heartrate`	float/None	bpm (if recorded)
`start_date_local`	datetime	Local time

DetailedActivity adds: calories, description, laps, splits_metric, segment_efforts

AthleteStats

Access via client.get_athlete_stats(tokens["athlete_id"]):

ytd_run_totals, ytd_ride_totals - Year-to-date
all_run_totals, all_ride_totals - All-time
recent_run_totals, recent_ride_totals - Last 4 weeks

Each Totals object has: count, distance, moving_time (Duration), elevation_gain

Examples

These show non-obvious patterns. For straightforward methods, use the API reference above.

Filter Activities (type conversion gotchas)

# distance/moving_time are wrapper types — use float()/int() to convert
start = datetime.now() - timedelta(days=30)
runs = [a for a in client.get_activities(after=start, limit=100) if a.type == "Run"]

total_km = sum(float(a.distance) for a in runs) / 1000
total_hrs = sum(int(a.moving_time) for a in runs) / 3600
print(f"{len(runs)} runs: {total_km:.0f}km in {total_hrs:.1f}h")

Quick Reference

# Unit conversions
dist_km = float(activity.distance) / 1000
speed_kmh = float(activity.average_speed) * 3.6
time_sec = int(activity.moving_time)
pace_min_km = (time_sec / 60) / (float(activity.distance) / 1000)

# List all activity types
from stravalib.strava_model import ActivityType, SportType
print(ActivityType.model_json_schema()['enum'])  # Run, Ride, Swim, Hike, ...
print(SportType.model_json_schema()['enum'])     # TrailRun, MountainBikeRide, ...

Re-authentication

Strava tokens auto-refresh in the query template. If refresh fails (e.g. user revoked access), re-run the full OAuth flow from the Setup section.

Debugging

If a method call fails or you're unsure what's available, introspect:

uv run -c "from stravalib.client import Client; print([m for m in dir(Client) if not m.startswith('_')])"

For full library docs: webfetch https://github.com/stravalib/stravalib

Troubleshooting

"Not authenticated": Run the OAuth flow from the Setup section
Token refresh fails: Check STRAVA_CLIENT_ID and STRAVA_CLIENT_SECRET are set in .env
401 Unauthorized: User may have revoked access, re-run OAuth
Field is None: Some fields like average_heartrate only exist if recorded
User confused by localhost error: Explain that the redirect to localhost failing is expected — they just need to copy the URL

strava

Installation

Details

Usage

Skill Instructions