.claude/skills/goals-tracker/SKILL.md
Set, list and track training goals (distance/time/elevation per week, month or year, optionally per sport). Use when the user mentions goals, targets, yearly distance, monthly km, "voy a llegar a".
npx skillsauth add AlvaroLaraFF/strava-coach goals-trackerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Add a new goal:
python3 .../goals-tracker/scripts/goals.py add --metric distance --period year --sport Run --target 1500
--metric: distance (km), time (minutes), elevation (m)--period: week, month, year--sport: Run, Ride, Swim, or omit for all sports--target: number in the metric's unitsList + progress:
python3 .../goals-tracker/scripts/goals.py list
For each active goal: name, target, current value, % progress, ETA at current pace, projection vs target. Highlight green (on track), yellow (close), red (behind).
If the user wants to add a goal, ask for the four parameters with AskUserQuestion (metric, period, sport, target) when any are missing.
| Error contains | Action |
|---|---|
| No token / StravaAuthError | Invoke strava-setup, retry |
| No activities / No data | Invoke strava-sync --level summary, retry |
| anything else | Surface |
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.
data-ai
Show a weekly training log: activities grouped by ISO week and sport, with totals for distance, time and elevation. Use when the user asks "what did I do this week", "weekly summary", "training log".
tools
Cross-reference recent runs/rides with historical weather (temperature, humidity, wind) from Open-Meteo to find correlations with performance. Use when the user asks "do I run worse in the heat", "weather impact", "temperature vs pace".
testing
Show how the user's training time and volume distribute across run, ride and swim, and flag underweighted disciplines. Use when the user asks "am I balanced", "discipline balance", "which sport am I neglecting".
data-ai
Compute a combined CTL/ATL/TSB across run, ride and swim for triathletes. Use when the user asks "my combined load", "triathlon training load", "total TSS across sports".