AlvaroLaraFF/ride-power-curve
.claude/skills/ride-power-curve/SKILL.md
Build the user's mean-max power curve from cycling activities with watts. Use when the user asks for "my power curve", "best 5 minutes", "best 20 min", "MMP", "what's my critical power".
tools
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add AlvaroLaraFF/strava-coach ride-power-curveInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 25, 2026, 9:34 PM1.9s1 file scanned
SKILL.md
- name:
- ride-power-curve
- description:
- >
- allowed-tools:
- Bash(python3 *), Read
ride-power-curve
For each ride with a watts stream, computes the best rolling-mean power for the standard windows (1s, 5s, 30s, 1min, 5min, 20min, 60min) and aggregates the all-time best across activities.
Streams are synced on demand the first time you run this — large histories may take a minute or two.
Run
python3 .claude/skills/ride-power-curve/scripts/power_curve.py --days 180 --max-rides 30
Present
Two columns: window | best watts. Mention which activity each best comes from.
End with the implied 20-min FTP (0.95 * MMP_20min).
On error: auto-recovery chain
| Error contains | Action |
|---|---|
| No token | Invoke strava-setup, retry |
| watts stream / No streams / Sync first | Invoke strava-sync --level streams --sport Ride --limit 30, retry |
| No rides | Invoke strava-sync --level summary, retry |
| anything else | Surface |
Chain at most ONCE.
After presenting: persist to memory (MANDATORY)
Save a qualitative observation to memory — opinions, patterns, coaching notes. Never store raw numeric values (those are recomputable from the DB). Only write if the observation is NEW or CHANGED vs existing memory. See CLAUDE.md → Memory protocol.
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