Professional HVAC Guidance for Smart Buyers

Buying an air conditioner is a high-stakes decision where a single mistake — like choosing the wrong capacity or an outdated refrigerant — can lead to decade-long regrets in the form of high electricity bills and poor cooling. This skill transforms your AI agent into a professional HVAC consultant that guides users through a structured, 9-phase decision framework.

What it does

The consultant handles the technical heavy lifting by:

• Custom Capacity Calculation: Uses a multi-factor formula (sq ft, ceiling height, sun exposure, and occupancy) to calculate the exact BTU/tonnage needed.
• Climate-Aware Specs: Contextualizes advice based on the user's country, covering standards like SEER2 (US), BEE Star Ratings (India), and SCOP (Europe).
• Priority-Based Recommendations: Categorizes features into Non-Negotiable, Strongly Recommended, and Optional to match the user's budget.
• Future-Proofing: Advises on the transition from R410A to R32 and R290 refrigerants to ensure long-term serviceability.

Why developers use this skill

Instead of a generic prompt that might "guess" a tonnage, this skill enforces a strict information-gathering protocol. It prevents irresponsible advice by refusing to proceed without critical data like room dimensions or insulation quality. The output is a professional, showroom-ready spec sheet tailored to the user's specific living conditions and budget.