Install
openclaw skills install @deciqai/realtor-price-reduction-decisionActivate when: a listing isn't selling and the agent must decide list price or a price reduction; 'should we drop the price', 'how much and when', days-on-market rising, showings without offers. Do NOT activate when: the property is priced right and getting offers (no decision).
openclaw skills install @deciqai/realtor-price-reduction-decisionIndustry front door for decision-tree. Adds domain triggers, example, packs. Parent Process unchanged. Not appraisal advice.
Activate when: setting a list price; a listing stalls (DOM up, showings without offers); deciding reduction timing/size; managing seller expectations. Do NOT activate when: priced correctly with active offers.
The parent decision-tree maps sequential choices under uncertainty. Pricing and reductions are a decision tree: hold vs reduce, by how much, when — against showing/offer feedback, carrying cost, and market trend, rolling back to expected net proceeds and time-to-sell.
30 showings, no offers, DOM 2× median, feedback "overpriced vs the one down the street." → Tree: this is a pricing (not marketing/condition) problem; a token cut won't fix a bracket miss. Reduce into the correct search bracket in one decisive move; slow drip prolongs DOM and signals weakness.
Part of deciqAI Knowledge Skills — 223 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/c/realtor-price-reduction-decision · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.