| name | analyze-workout |
| description | Computes adherence delta between actual and prescribed workout: pace deviation %, completion %, HR drift, RPE delta. Returns a structured signal dict. Called automatically after log-workout or fetch-strava-activity. |
Analyze Workout
Given an actual workout and its prescribed counterpart, computes a structured adherence signal dict using the threshold rules from DESIGN.md §4. The verdict (on-target, under, over, aborted) drives the downstream adapt-plan strike rules. This skill is never invoked directly by the user — it is always called programmatically by log-workout or fetch-strava-activity.
When to use
- Immediately after
log-workout captures user input.
- Immediately after
fetch-strava-activity normalizes a Strava activity.
- When re-analyzing historical workouts (e.g., after a data correction).
Outputs
A dict {completion_pct, pace_delta_pct, rpe_delta, hr_drift_bpm, verdict} stored in workouts.json[].analysis and returned in-memory to the caller for immediate use by adapt-plan.
See body.md for full instructions and scripts/analyze.py for the deterministic delta computation.
