AlvaroLaraFF/consistency
.claude/skills/consistency/SKILL.md
Measure how consistent the user is with training: streaks, days per week, variability of weekly volume. Use when the user asks about consistency, streaks, frequency, "am I regular".
data-ai
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add AlvaroLaraFF/strava-coach consistencyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 16, 2026, 6:12 PM176.5s3 files scanned
SKILL.md
- name:
- consistency
- description:
- >
- Measure how consistent the user is with training:
- streaks, days per week,
- allowed-tools:
- Bash(python3 *), Read
consistency
Run
python3 .claude/skills/consistency/scripts/consistency.py --weeks 12
Present
Show: current streak (consecutive days/weeks with at least one activity), average days per week, coefficient of variation of weekly volume, and a one-line verdict (HIGHLY CONSISTENT / CONSISTENT / IRREGULAR).
On error: auto-recovery chain
If the script returns "success": false, chain BEFORE showing the error:
| Error contains | Action |
|---|---|
| No token / NO_TOKEN / StravaAuthError | Invoke skill strava-setup, then re-run |
| No activities / Sync first / No data | Invoke skill strava-sync with --level summary, then re-run |
| anything else | Surface to the user |
Chain at most ONCE per request.
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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