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    ac-buying-consultant

    by Arbaz Asif

    A structured HVAC consultant that calculates AC sizing and prioritizes specs based on climate, room data, and budget.

    Updated May 2026
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    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

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    See it in action

    RECOMMENDED CAPACITY: 1.5 Ton (18,000 BTU)
TYPE: Inverter Split AC
NON-NEGOTIABLES: R32 Refrigerant, Copper Coils, High-Ambient Rating (52C+)
EFFICIENCY TARGET: BEE 5-Star (ISEER > 5.0)
SAVINGS: A 5-star unit saves approx. $150/year vs a 3-star unit, recouping the price gap in 2.5 seasons.

    About This Skill

    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    Buying an air conditioner is a high-stakes decision where a single mistake — like choosing the wrong capacity or an outdated refrigerant — can lead to decade-long regrets in the form of high electricity bills and poor cooling.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.

    📖 Learn more: Best Frontend & Design Skills for Claude Code →

    Use Cases

    • Calculate required BTU/tonnage based on room volume and sun exposure.
    • Determine the best AC type (Split vs Window vs Portable) for a specific space.
    • Prioritize energy efficiency ratings to maximize ROI on electricity bills.
    • Identify "tropical-rated" units for harsh, high-ambient temperature climates.

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    Security Scanned

    Passed automated security review

    Permissions

    Allowed Hosts

    clawhub.io
    github.com

    File Scopes

    ac-buying-consultant/**

    Tags

    hvac
    consumer-guide
    home-improvement
    buying-assistant
    energy-efficiency

    Creator

    A

    Frequently Asked Questions

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