AlvaroLaraFF/ride-climbing
.claude/skills/ride-climbing/SKILL.md
Climbing analysis for cyclists: VAM (vertical meters per hour), W/kg on climbs, hardest climbs in the period. Use when the user asks "how do I climb", "my climbs", "VAM", "watts per kilo".
tools
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add AlvaroLaraFF/strava-coach ride-climbingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 20, 2026, 3:15 PM15.0s1 file scanned
SKILL.md
- name:
- ride-climbing
- description:
- >
- Climbing analysis for cyclists:
- VAM (vertical meters per hour), W/kg on
- allowed-tools:
- Bash(python3 *), Read
ride-climbing
For each ride: total elevation, average grade implied (elev/distance), and VAM. If the user provides their weight and the ride has power, compute W/kg for the ride and rank climbs by W/kg.
Run
python3 .claude/skills/ride-climbing/scripts/climbing.py --days 90 --weight-kg 72
Present
Top 5 rides by VAM, plus an aggregate: average VAM, max VAM, and trend (improving / steady / declining) compared to the previous 90 days.
On error: auto-recovery chain
| Error contains | Action |
|---|---|
| No token | Invoke strava-setup, retry |
| No rides / No climby rides | Invoke strava-sync --level summary, retry |
| anything else | Surface |
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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