HVAC Business Operations
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-hvac打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
Complete operations reference for HVAC contractors and service companies. Covers residential and commercial pricing, technician productivity, seasonal planning, equipment margins, EPA compliance, and growth strategy.
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
Operations reference for HVAC contractors — pricing, technician management, seasonal planning, EPA compliance, equipment margins, and growth from owner-operator to multi-location.
Built by AfrexAI — AI context packs that actually know your industry.
clawhub install afrexai-hvac
Browse all 10 industry context packs at the AfrexAI Store — $47 each or grab bundles starting at $97.
# HVAC Business Operations Complete operations reference for HVAC contractors and service companies. Covers residential and commercial pricing, technician productivity, seasonal planning, equipment margins, EPA compliance, and growth strategy. ## What This Covers ### Pricing & Revenue - **Service calls**: $89-150 diagnostic fee, $150-500 standard repair - **Installation**: Residential systems $5,000-15,000 (equipment + labor), commercial $15,000-100,000+ - **Maintenance agreements**: $150-300/year residential, $500-2,000/year commercial - **Emergency/after-hours**: 1.5x-2x standard rates - **Target gross margins**: 50-55% service, 35-45% installation, 60%+ maintenance agreements ### Labor & Technician Management - **Technician pay**: $22-35/hr (journeyman), $35-50/hr (senior/master), $18-22/hr (apprentice) - **Billable rate**: $95-175/hr residential, $125-225/hr commercial - **Revenue per tech**: Target $180,000-250,000/year - **Utilization target**: 75-85% billable hours - **Truck rolls per day**: 4-6 service calls, 1-2 installs - **Spiff programs**: $50-200 per maintenance agreement sold by tech, $100-500 per equipment upsell ### Seasonal Planning - **Peak seasons**: Summer (cooling) Jun-Aug, Winter (heating) Nov-Feb - **Shoulder seasons**: Spring tune-ups Mar-May, Fall tune-ups Sep-Nov - **Revenue split**: 40% cooling, 35% heating, 25% maintenance/other - **Staffing**: Scale 20-30% temp labor for peak, cross-train for shoulder work - **Cash reserves**: 3 months operating expenses minimum for off-peak ### Equipment & Inventory - **Top brands (residential)**: Carrier, Trane, Lennox, Rheem, Goodman, Daikin - **Markup**: 40-60% on equipment, 100-200% on parts - **Inventory turns**: Target 8-12x/year on common parts - **Must-stock parts**: capacitors, contactors, fan motors, thermostats, refrigerant, filters - **Vehicle inventory**: $3,000-5,000 per truck in common parts ### Compliance & Licensing - **EPA Section 608**: Universal certification required for all...
# HVAC Business Operations Operations reference for HVAC contractors — pricing, technician management, seasonal planning, EPA compliance, equipment margins, and growth from owner-operator to multi-location. Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs that actually know your industry. ## What's Inside - Service call and installation pricing benchmarks - Technician pay rates, utilization targets, spiff programs - Seasonal revenue planning and staffing strategy - Equipment markup and inventory management - EPA 608, AIM Act, NATE, OSHA compliance - KPI targets (revenue per tech, first-call fix rate, agreement retention) - Marketing cost benchmarks (LSA, Google Ads, review generation) - 5-stage growth playbook ($0 to $5M+) - Tech stack recommendations (ServiceTitan, Housecall Pro, Jobber) ## Install ```bash clawhub install afrexai-hvac ``` ## More Industry Packs Browse all 10 industry context packs at the [AfrexAI Store](https://afrexai-cto.github.io/context-packs/) — $47 each or grab bundles starting at $97. - [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where your business is bleeding money - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your AI agent stack in 5 minutes
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