constructintel-extraction

Name: constructintel-extraction
Availability: InStock
Author: buildsmarterai

Extract structured cost data from construction bid PDFs with CSI classification.

Updated Mar 31, 2026

Search Tags:#pdf #validation #extract #document-extraction #construction-bids #line-items #csi-classification

Ready to run

npx skills add https://github.com/BuildSmarterAI/claude-skills --skill constructintel-extraction

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: constructintel-extraction
Source: https://github.com/BuildSmarterAI/claude-skills/tree/main/constructintel-extraction
Command: npx skills add https://github.com/BuildSmarterAI/claude-skills --skill constructintel-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ConstructIntel Extraction Pipeline automates turning unstructured bid documents and PDFs into structured, validated data, reducing manual parsing effort and errors.

Core Features & Use Cases

PDF text extraction and document classification to route bids for processing.
AI-driven line item extraction, CSI MasterFormat classification, quantity takeoff, and confidence scoring.
Multi-agent validation to improve accuracy on high-value bids and enable audit trails.

Quick Start

Activate this skill to transform a bid PDF into a structured item list with CSI codes and validation scores.

Frequently Asked Questions about constructintel-extraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract line items from construction bid PDFs?▼

To extract line items from construction bid PDFs, this Skill automates text extraction and itemization to pull structured cost data. It applies AI to identify schedules of values and output validated line items.

Can I automatically classify extracted bid data by CSI MasterFormat divisions?▼

Yes, extracted bid data can be automatically classified by CSI MasterFormat divisions. The pipeline includes a dedicated CSI classification stage that assigns appropriate division codes to parsed line items.

What is the best way to validate cost data extracted from schedules of values?▼

The best way to validate extracted cost data is using a multi-agent validation stage. This mechanism cross-references itemized schedules of values to improve accuracy and generate confidence scores for auditability.

Does this PDF extraction pipeline work for unstructured construction documents?▼

Yes, the pipeline processes unstructured construction documents by applying document classification and text extraction. It routes bids automatically and transforms raw PDF content into structured, validated data.

How does confidence scoring work for AI-extracted construction bids?▼

Confidence scoring for AI-extracted construction bids evaluates the accuracy of parsed line items and CSI classifications. It generates an auditability score during the validation stage to flag high-value bids needing review.

Are there limitations when extracting quantity takeoffs from bid PDFs?▼

Limitations depend on the PDF text extraction quality and document classification accuracy. If the source bid documents are highly irregular, the quantity takeoff and line-item extraction may require additional manual validation.