Workout Track

Log a strength training session and insert it into the life_db database. Use when the user shares their gym session, exercises, sets, reps, weights, RPE, rest times, session duration, feelings, or asks to record a workout.

𝑠𝑝𝑖𝑑𝑒𝑦@spideystreet

Install

openclaw skills install @spideystreet/workout-track

Workout Log

Parses strength training sessions from natural or structured input and inserts them into the sport schema of life_db.

Connection

Credentials are in ~/.openclaw/services/life-db/.env.

Workflow

1. Parse the user's message

Extract from free text or structured input:

Field	Type	Notes
`session_date`	YYYY-MM-DD	Default: today
`duration_min`	int	Total session duration
`feeling`	1–10 integer	Overall session feeling
`notes`	string	Optional — program name, injuries, etc.
`exercises[]`	array	One object per exercise

Each exercise:

Field	Type	Notes
`exercise_name`	string	Normalize consistently (e.g. "Bench Press", "Squat", "Romanian Deadlift")
`sets`	int	Number of working sets
`reps`	int	Reps per set (use average if varied)
`weight_kg`	float	Working weight — `null` for bodyweight exercises
`rpe`	float	Rate of perceived exertion (1–10), optional
`rest_sec`	int	Rest between sets in seconds, optional
`order_in_session`	int	Order as mentioned
`notes`	string	Optional — tempo, drop sets, supersets, etc.

2. Confirm with the user

Show a summary before inserting:

text

📅 {DD/MM/YYYY} · Muscu · {duration} min · Feeling {feeling}/10
• {Exercise 1} — {sets}×{reps} @ {weight} kg
• {Exercise 2} — {sets}×{reps} bodyweight
• …

Save? (yes / no)

3. Insert

Only after confirmation, use the exec tool:

json

{
  "tool": "exec",
  "command": "bash -c 'set -a; source ~/.openclaw/services/life-db/.env; uv run --project ~/.openclaw {baseDir}/scripts/insert_workout.py <json>'"
}

Replace <json> with the minified JSON payload (no newlines, properly shell-escaped).

4. Confirm result

On OK — respond with exactly this format, nothing more: