AlvaroLaraFF/swim-swolf
.claude/skills/swim-swolf/SKILL.md
Compute SWOLF (swimming efficiency = stroke time + stroke count per length) and show the trend over recent swims. Use when the user asks about SWOLF, swim efficiency, "am I more efficient in the pool".
testing
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add AlvaroLaraFF/strava-coach swim-swolfInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 16, 2026, 5:43 PM203.9s3 files scanned
SKILL.md
- name:
- swim-swolf
- description:
- >
- allowed-tools:
- Bash(python3 *), Read
swim-swolf
For pool swims, syncs the lap data on demand and computes SWOLF per lap, then averages per session.
Run
python3 .claude/skills/swim-swolf/scripts/swim_swolf.py --days 60
Present
Per-session average SWOLF, plus a trend line: improving (lower SWOLF) or declining. Reference values: <30 elite, 30-40 trained, 40-50 recreational,
50 beginner.
On error: auto-recovery chain
| Error contains | Action |
|---|---|
| No token | Invoke strava-setup, retry |
| lap data / No swims with usable lap data | Invoke strava-sync --level details --limit 30, retry (laps will be lazy-fetched on next run) |
| No swims | 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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