AlvaroLaraFF/polarization-check
.claude/skills/polarization-check/SKILL.md
Check whether the user follows the 80/20 polarized training principle — most time at easy intensity, a small slice hard, very little moderate. Use when the user asks "am I 80/20", "polarized", "training distribution".
testing
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add AlvaroLaraFF/strava-coach polarization-checkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 16, 2026, 5:41 PM300.4s3 files scanned
SKILL.md
- name:
- polarization-check
- description:
- >
- allowed-tools:
- Bash(python3 *), Read
polarization-check
Buckets the last 30 days of training time into easy / moderate / hard zones based on average HR per activity, then compares against the 80/20 rule.
Pre-flight: read snapshot for flags
python3 .claude/skills/athlete-snapshot/scripts/read_snapshot.py
Extract hr_max_bpm from the snapshot and pass as --hr-max. If no snapshot,
use default (190).
Run
python3 .claude/skills/polarization-check/scripts/polarization.py --hr-max 190
Present
Show three percentages and a verdict: POLARIZED (≥75% easy, ≤10% moderate), PYRAMIDAL, THRESHOLD-HEAVY, or UNDEFINED. Add one suggestion for rebalancing if not polarized.
On error: auto-recovery chain
| Error contains | Action |
|---|---|
| No token / StravaAuthError | Invoke strava-setup, retry |
| No activities / Sync first | Invoke strava-sync --level summary, retry |
| anything else | Surface to the user |
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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