Persona Sim

Simulate feedback from census-grounded virtual populations. Five layers, each independently replaceable:

L5 Scenario adapters (product-feedback-sim / vote-predict / social-sandbox)   thin wrappers
L4 Simulation engine (sim_engine.py — SGO: panel -> score -> persuadable middle -> anchored gradient)
L3 LLM router        (llm_router.py — config-driven; default Haiku 4.5 + prompt cache; Sonnet for gradient)
L2 Persona sampler   (sampler.py    — unified sample_personas(n, filters, source, mode))
L1 Persona store     (~/.claude/data/personas/ + manifest.json)

First-time setup (not optional)

Dependencies and config live outside the skill under ~/.claude/data/personas/ so sharing the skill never leaks keys. See SETUP.md for the full walk-through. Short version: