AlvaroLaraFF/run-pr-tracker
.claude/skills/run-pr-tracker/SKILL.md
Track personal records over standard distances (400m, 1k, 1mi, 5k, 10k, 15k, HM, M) and flag PRs that have gone stale. Use when the user asks "my PRs", "personal records", "best times", "have I improved at 10k".
development
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add AlvaroLaraFF/strava-coach run-pr-trackerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
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Snyk (dep)Open source security scanning
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Last scanned: Apr 20, 2026, 3:15 PM13.5s1 file scanned
SKILL.md
- name:
- run-pr-tracker
- description:
- >
- allowed-tools:
- Bash(python3 *), Read
run-pr-tracker
Reads the best_efforts table populated from the raw_json of each Run
activity (Strava ships this per activity automatically).
Run
python3 .claude/skills/run-pr-tracker/scripts/pr_tracker.py
Present
Table: Distance | PR Time | Pace | Date | Age (days). Flag PRs older than
180 days as STALE in a follow-up note, with a one-line suggestion ("attempt a
fresh 5k effort").
On error: auto-recovery chain
| Error contains | Action |
|---|---|
| No token / StravaAuthError | Invoke strava-setup, retry |
| best_efforts / Sync first / Sync runs first | Invoke strava-sync --level details --limit 50, retry |
| No activities / No runs | 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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