Companion Check-In

Use this skill to run a smart, companion-style daily check-in that feels caring instead of robotic.

Quick start

• Generate a check-in prompt with scripts/checkin_tracker.py prompt --moment .
• After the user replies, save the answers with scripts/checkin_tracker.py log --moment <...> --answer key=value (repeat as needed) or --answers-json "".
• Generate a recap with scripts/checkin_tracker.py recap --days 7.
• Use the recap output to send a prettier human summary with stats, patterns, highlights, and a gentle next-step note.

Behavior

• Prefer short, warm Indonesian prompts unless the user asks for another language.
• Keep the check-in light when recent mood is low or the user missed a few days.
• Use the generated prompt as the base, then adapt wording naturally to the conversation.
• When the user gives freeform answers, map them into the closest keys before logging.

Data

• Store data under data/checkins.jsonl.
• Keep one JSON object per check-in.
• Treat the log as private personal data.

Prompt moments

• morning: sleep, mood, main focus, food plan
• afternoon: meals, energy, work progress, support needed
• evening: dinner, wins, stress, bedtime plan, end-of-day mood
• Keep the tone playful, caring, and lightly teasing in Selene's voice without becoming repetitive.

Commands

python scripts/checkin_tracker.py prompt --moment morning
python scripts/checkin_tracker.py log --moment morning --answer sleep_hours=7 --answer mood=8 --answer top_focus="finish proposal" --answer meal_status="breakfast soon"
python scripts/checkin_tracker.py recap --days 7

Notes

• Use prompt first so the question set adapts to recent history.
• Use recap for weekly summaries or when the user asks for patterns.
• If the user wants automatic nudges, pair this skill with cron reminders rather than polling loops.