feat(skills): promote untracked pod skills into mop-skills
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name: "datastore-nutrition-logging"
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description: "Log nutrition intake via datastore CLI; verify kind and repair mis-parsed events."
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---
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# Datastore Nutrition Logging
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Log consumed food to the datastore CLI and repair events that landed under the wrong kind.
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## Steps
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1. Log an item: run
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`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`
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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`.
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2. Verify the kind: run
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`... datastore.py query "SELECT id, kind, start, payload FROM events WHERE subject='<person>' AND start >= '<YYYY-MM-DD>'"`.
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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.
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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.
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4. Refresh the read-only views: run
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`PYTHONPATH=/home/node/mop-skills/mop-skills/skills/datastore/scripts uv run /home/node/mop-skills/mop-skills/skills/datastore/scripts/render_views.py`.
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Done when it prints the rendered nutrition-log paths.
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5. Report the day total from `feedback.day_total_formatted`; never compute macros by hand.
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