A sophisticated agentic skill for coordinating complex real estate research, market analysis, and policy interpretation tasks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install realestate-deep-research
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install realestate-deep-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Real Estate Deep Research AI Skill?
The Real Estate Deep Research skill is a specialized agentic tool designed to handle the intricate requirements of the property industry. By integrating big data with long-term memory and internet-enabled operations, this skill allows users to move beyond simple queries to full-scale task orchestration. It is built to function as a senior assistant, capable of executing multi-step research cycles that would otherwise require significant manual effort.
As part of the Openclaw Skills ecosystem, it provides a bridge to the Agentic platform (agentic.dichanai.com), ensuring that users get high-quality, professional-grade outputs. Whether you are conducting land evaluations or generating weekly industry newsletters, this skill provides the depth and technical rigor needed for enterprise-level real estate intelligence.
Real Estate Deep Research AI Skill Use Cases
- Generating quarterly residential market analysis reports with deep trend forecasting.
- Conducting detailed land evaluation and competitive project case studies for developers.
- Automating the monitoring of real estate bidding and procurement notices.
- Interpreting complex urban planning policies and assessing their regional impact.
- Creating recurring industry newsletters and company performance profiles using Openclaw Skills.
How Real Estate Deep Research AI Skill Works
- Requirement Assessment: The skill first evaluates the user's research query to ensure all necessary parameters like time, location, and target audience are clear.
- Task Creation: Once requirements are refined, it initiates a task via a Python script, sending the data to the Agentic platform.
- Continuous Monitoring: The agent uses polling or status commands to track progress and handle the research lifecycle.
- Human-in-the-Loop (HITL) Management: If the AI requires a specific decision or clarification during research, the skill pauses and asks the user for input before resuming.
- Result Retrieval: After the task reaches the finished state, the skill fetches download links for the generated reports and data files.
Real Estate Deep Research AI Skill Setup
To deploy this skill, ensure you have the required environment variables and dependencies configured.
# Install required Python packages
uv add requests
# Set your Agentic Token
export AGENTIC_TOKEN="your_private_token"
# Verify your token and check for updates
python3 scripts/agentic.py check-token
python3 scripts/agentic.py check-update
Real Estate Deep Research AI Skill Data Schema & Taxonomy
The skill organizes research data through a structured workspace and metadata system:
| Component | Description |
|---|---|
| Task ID (chat_id) | A unique identifier for every research session. |
| Workspace | A cloud-based directory for reference files and intermediate drafts. |
| Results Directory | Files stored in the /成果 (Results) path, containing finalized reports. |
| Metadata | Includes timestamps, last_status, and progress percentages. |
All interactions are secured through API encryption, ensuring that reference documents and generated insights remain private within the Openclaw Skills workflow.
Real Estate Deep Research AI Skill Advanced Features
- Intelligent HITL Interruption: Automatically detects when a task requires human intervention and pauses execution.
- Scheduled Research: Use the schedule command to set up periodic market monitoring and automated report generation.
- Batch Asset Management: Capabilities for bulk uploading reference materials and batch downloading research results as ZIP files.
- Automatic Token Management: Built-in logic to renew authentication tokens and maintain long-term agent connectivity.
- Multi-Agent Coordination: Seamlessly integrates with broader Openclaw Skills to pass research findings into other development or marketing workflows.
SKILL.md
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