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USER_PROFILE.example.md

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USER_PROFILE.example.md

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The YAML frontmatter is read by scripts/profile.py at import time.

Any field you omit falls back to a generic adult-cyclist default

(see DEFAULTS in scripts/profile.py).

identity: name: Generic rider dob: YYYY-MM-DD location: <City / area> height_m: 1.78

body: weight_kg: 75.0 # Used for W/kg calculations weight_source: <e.g. "Withings AM fasted"> weight_updated: YYYY-MM-DD

fitness: ftp_w: 200 # Functional Threshold Power ftp_updated: YYYY-MM-DD map_w_working: 250 # Maximal Aerobic Power — what you train against map_w_test: 250 # Raw test value map_note: ac_w: 350 # Anaerobic Capacity (1-min power) ac_note: nm_w: 600 # Neuromuscular peak (5–15s) lthr_bpm: 165 # Lactate Threshold HR (cycling) max_hr_bpm: 190 rest_hr_bpm: 55 # Used by Karvonen HR zones max_hr_uncertainty: <e.g. "±5">

physics: bike_weight_kg: 9.0 kit_weight_kg: 3.0 # Shoes, helmet, bottles, kit — for system weight system_weight_kg: 87.0 # body + bike + kit, used for speed/power cda: 0.30 # Coefficient of drag × frontal area cda_range: <e.g. "0.28–0.32"> fr_split_front_pct: 48 # Front-wheel weight % (Silca's 48/52 default) cda_position: <e.g. "hoods, neutral"> drivetrain_efficiency: 0.97 # 0.97 for 2x/3x; 0.98 for direct-drive crr: 0.0055 # Default rolling resistance (intermediate pressure) air_density_kg_m3: 1.225 # Sea level, 15°C gravity_m_s2: 9.81 wheel_circ_m: 2.155 # 700c × 32mm — adjust per tyre

training_load: ctl: 0 # Chronic Training Load — 42-day EMA of TSS atl: 0 # Acute Training Load — 7-day EMA of TSS tsb: 0 # Training Stress Balance — yesterday CTL − yesterday ATL source: <e.g. "TrainingPeaks AM YYYY-MM-DD">

goals: primary_event: primary_date: YYYY-MM-DD ftp_target_wkg: 3.0 phase: <e.g. "BUILD" | "BASE" | "PEAK" | "RECOVERY">

Rider context

Free-form Markdown. Use sections for narrative, uncertainty, and history that doesn't fit a YAML key.

Asymmetries / injuries

Anything the coach should know about (leg-length difference, prior injuries, posture issues).

Training history

How long you've been training, prior FTP/MAP progression, key milestones.

Equipment

Primary bike

  • Frame, drivetrain, cassette, tyres, tubes, sensors. Be specific — physics calculations depend on this.

Secondary bikes / commute / indoor

Sensors

  • Power meter (single-sided crank, dual-sided, pedal-based — affects accuracy)
  • Head unit
  • HR strap

Measurement accuracy notes

Any known biases (e.g. left-only crank reads ~96% of true if you're 48/52 imbalanced).

Position & fit

Measurement Value Notes
Saddle height mm BB centre to top
Saddle setback mm Tip of saddle behind BB
Stem length mm
Stem angle degrees
Bar width cm
Position character upright / neutral / aggressive

Weight distribution

Measured F/R split if you have scales. Defaults to Silca's 48/52 if unknown.

Tyre pressure preferences

Once calibrated via experimentation, record your preferred surface targets here.

Power zones

Generated from FTP. Cache here for readability.

HR zones

Generated from max + rest HR via Karvonen.

Current fatigue context

Narrative around the YAML training_load block. Recent sessions, why TSB is where it is.

Training priorities

Personal split: MAP / FTP / endurance / strength weighting.

Fuelling protocol

Carb-per-hour targets per ride type, real-food vs engineered preference, alarm/stop pattern.

Body composition tracking

Weight log, tape log, photo log tables.

Goals (detail)

Primary event narrative — key climbs, gearing checks, predicted speeds.

Pending experiments

Open questions

Data status tracker

Item Status Last updated
FTP
MAP
...

Ride log

Date Type Distance/Time TSS Analysis file