N8N Cost Estimation
Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.
Why use this skill?
Automate your BIM cost estimation workflows. Use this N8N skill to classify Revit/IFC data, link to DDC CWICR databases, and generate instant, accurate cost reports.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/datadrivenconstruction/n8n-cost-estimationWhat This Skill Does
The N8N Cost Estimation skill transforms your BIM workflows by automating the tedious process of construction cost estimation. It integrates Revit and IFC data with the DDC CWICR database to provide precise, AI-driven cost analysis. The pipeline automatically classifies CAD elements, maps them to industry-standard work items, and performs quantity take-offs (QTO) in seconds. By replacing manual database lookups and expert estimation mapping with an intelligent vector search and LLM-driven classification, this skill reduces estimation time by over 90% while improving accuracy.
Installation
To integrate this into your agent, run the following command in your terminal:
clawhub install openclaw/skills/skills/datadrivenconstruction/n8n-cost-estimation
Ensure you have the RvtExporter executable configured in your N8N environment and verify that your LLM credentials (Claude or GPT) are correctly stored in the N8N global variables.
Use Cases
- Early Stage Estimating: Quickly generate order-of-magnitude costs for feasibility studies by uploading preliminary IFC exports.
- Change Order Management: Instantly calculate the cost impact of architectural changes by re-running the pipeline against updated Revit files.
- Bidding Support: Aggregate phased breakdown reports for subcontractors based on standardized work item norms found in the DDC CWICR database.
Example Prompts
- "Analyze the latest Revit export file and generate a cost estimate broken down by material category using the DDC CWICR standards."
- "Perform a quantity take-off on the provided floor structure and compare the estimated labor hours with our previous project baseline."
- "Generate a CSV cost report for all structural columns and beams identified in the IFC file, including the suggested unit price."
Tips & Limitations
- Data Quality: The accuracy of the output is heavily dependent on the quality of the BIM data. Ensure your Revit parameters are properly categorized.
- Performance: While the pipeline processes data in 3-10 seconds per group, very large files may require increasing your N8N node timeout settings.
- Verification: Always have a senior estimator review the final output, as AI classification is meant to assist rather than replace professional oversight.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-datadrivenconstruction-n8n-cost-estimation": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write, external-api, code-execution
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