mop-skills/skills/datastore-nutrition-logging/SKILL.md

name, description

name	description
datastore-nutrition-logging	Log nutrition intake via datastore CLI; verify kind and repair mis-parsed events.

Datastore Nutrition Logging

Log consumed food to the datastore CLI and repair events that landed under the wrong kind.

Steps

1. Log an item: run uv run /home/node/mop-skills/mop-skills/skills/datastore/scripts/datastore.py add nutrition.intake --subject <person> --actor agent:koch --payload '{"item": "...", "qty": 250, "unit": "g", "protein_g": 7.5, "carbs_g": 87.5, "fat_g": 27.5, "kcal": 625.0}' --estimated Pass nutrition.intake as the positional argument and --estimated as a bare flag with no value. Done when the response contains feedback.day_total_formatted.
2. Verify the kind: run ... datastore.py query "SELECT id, kind, start, payload FROM events WHERE subject='<person>' AND start >= '<YYYY-MM-DD>'". Done when the new event shows kind = "nutrition.intake". If it shows another kind (e.g. "true"), a flag value was parsed as the positional kind.
3. Repair a mis-kinded event: delete its line from /home/node/.openclaw/wiki/main/data/events/<wrong-kind>/YYYY-MM.jsonl, remove the now-empty <wrong-kind>/ directory, then re-run step 1. Done when step 2 passes.
4. Refresh the read-only views: run PYTHONPATH=/home/node/mop-skills/mop-skills/skills/datastore/scripts uv run /home/node/mop-skills/mop-skills/skills/datastore/scripts/render_views.py. Done when it prints the rendered nutrition-log paths.
5. Report the day total from feedback.day_total_formatted; never compute macros by hand.