AC Buying Consultant is a skill that turns an AI agent into a structured HVAC advisor following a 9-phase decision framework. Rather than producing a generic recommendation, it enforces an information-gathering protocol that requires room dimensions, insulation quality, ceiling height, sun exposure, and occupancy data before proceeding. This prevents the agent from guessing at capacity figures without sufficient context.
The core function is BTU and tonnage calculation using a multi-factor formula that accounts for square footage, ceiling height, sun exposure, and occupancy. Alongside sizing, the skill contextualizes advice by country-specific efficiency standards: SEER2 ratings for US buyers, BEE Star Ratings for India, and SCOP for Europe.
Recommendations are categorized into three tiers — Non-Negotiable, Strongly Recommended, and Optional — so the output maps directly to a user’s stated budget. The skill also covers refrigerant future-proofing, specifically advising on the shift from R410A to R32 and R290 to avoid long-term serviceability problems.
The final output is a spec sheet tailored to the user’s living conditions and budget, suitable for use when comparing units in a showroom or online. This skill is appropriate when an agent needs to handle detailed, multi-variable HVAC purchase guidance rather than surface-level appliance suggestions.