real-estate-showing-brief

What This Skill Does

房产带看简报官 (Real-Estate-Showing-Brief) is a specialized AI agent skill designed to streamline the preparation process for real estate professionals. It transforms raw buyer requirements, property details, and scheduling constraints into a professional, actionable briefing document. Instead of spending hours compiling notes, the agent structures critical information into a consistent format, including buyer personas, property focus areas, onsite inquiry checklists, and logical routing suggestions. It acts as an intelligent assistant to ensure you arrive at every showing prepared, professional, and data-driven.

Installation

To install this skill, run the following command in your OpenClaw terminal: clawhub install openclaw/skills/skills/52yuanchangxing/real-estate-showing-brief

Use Cases

This skill is ideal for:

1. Broker Preparation: Consolidating multiple listing details and buyer preferences before back-to-back showings.
2. Team Coordination: Sharing standardized briefings with assistants or junior agents to ensure quality of service.
3. Client Presentation: Generating professional, clear summaries that highlight why a specific property aligns with a client's core needs.
4. Onsite Efficiency: Providing a quick-reference checklist of potential questions and risk factors to cover during a tour.

Example Prompts

1. "我有一个三口之家的买家，今天下午要看三套位于海淀区的学区房，请帮我根据他们预算和对采光的要求生成一份带看简报。"
2. "这是客户发给我的房源链接列表和他们的偏好，请帮我整理成一份带看路线，并列出每一套房我需要重点确认的问题。"
3. "针对这套刚挂牌的精装公寓，请帮我分析潜在的风险点并准备一份看房过程中的提问清单，确保客户关注的采光和装修年限问题被覆盖。"

Tips & Limitations

• Data Integrity: The skill is designed to handle provided data. It will not fabricate property details. If information is missing, it will explicitly flag '待确认项' (Items to Confirm).
• Compliance First: This skill is a productivity tool, not a legal advisor. It cannot replace formal legal disclosures or binding contracts.
• Human Oversight: Always review the generated brief before presenting it to clients. The agent is intended to be a 'preparedness companion' rather than an autonomous decision-maker.
• Workflow: Utilize the predefined template.md and spec.json structures provided in the resources folder to ensure your inputs are processed with the highest accuracy.