Add wellness micro-habit recommender domain

[starburtMr]

Summary

For aolabsai/ao_pyth#9.

Adds a distinct wellness micro-habit recommender domain for the paid bounty. This is separate from the existing movie, music, recipe, learning, book, fitness, travel, e-commerce, personal-finance, career, home-maintenance, plant-care, board-game, volunteering, and pet-adoption submissions.

What it adds:

• local 12-habit wellness catalog covering calm, sleep, focus, energy, connection, and reflection habits
• deterministic eight-bit AO-compatible input encoding using focus area, time bucket, social context, and current user goal
• Streamlit wellness recommender demo with goal, effort, time, and social-context controls
• optional AO Agent scoring/training when ao_core and ao_arch are installed
• deterministic CLI/fallback ranking so reviewers can run it without private AO packages or paid APIs
• unit tests for encoding, goal-aware ranking, social filtering, feedback-driven ranking, and invalid goals

Validation

• python3 -m unittest tests/test_wellness_domain.py
• python3 -m unittest discover -s tests
• python3 -m py_compile wellness_domain.py wellness_recommender.py arch__WellnessRecommender.py tests/test_wellness_domain.py
• python3 wellness_recommender.py
• git diff --check

Bounty

/claim #9

If accepted for the paid bounty, preferred payout is PayPal via 1977995433@qq.com.

Note: I attempted to post /attempt #9 on aolabsai/ao_pyth#9 before opening this PR, but GitHub rejected the comment because the issue is currently locked.

Transparency: AI-assisted with Codex; I reviewed the implementation and validation output before submitting.