data-type-classifierClassify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods
Install via ClawdBot CLI:
clawdbot install datadrivenconstruction/data-type-classifierGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://datadrivenconstruction.ioAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A construction firm needs to catalog diverse data from ongoing projects, including CAD drawings, schedules, and inspection reports. This skill classifies each file type, recommends storage solutions like object storage for images and relational databases for schedules, and ensures proper integration for project management dashboards.
An architecture firm uses IFC and RVT files for building information modeling. The skill analyzes these semi-structured and geometric data types, recommends document databases for IFC files, and suggests processing tools like ifcopenshell to validate compliance with industry standards.
A government agency manages infrastructure data, including GIS spatial files, maintenance logs in PDFs, and sensor time-series data. The skill classifies these as spatial, unstructured, and temporal, recommending vector databases for GIS, data lakes for logs, and time-series databases for sensor data to optimize asset tracking.
A construction supplier handles purchase orders in Excel, contracts in DOCX, and delivery videos. The skill identifies structured, unstructured, and unstructured data types, recommends relational databases for orders and object storage for videos, and integrates with ERP systems for streamlined logistics.
A renovation contractor works with legacy DWG drawings, new JSON-based sensor data, and PDF inspection reports. The skill classifies these as geometric, semi-structured, and unstructured, recommending file systems for drawings, document databases for JSON, and processing tools like tesseract for OCR in reports to unify data for analysis.
Offer the skill as a cloud-based service where construction companies pay a monthly fee per user or project. It provides automated data classification, storage recommendations, and integration APIs, generating revenue from recurring subscriptions and premium support tiers.
Provide on-site or remote consulting services to help firms implement the skill for specific projects. Revenue comes from hourly rates or fixed project fees, including customization, training, and integration with existing systems like BIM software.
Sell perpetual licenses to large construction or engineering firms for unlimited use of the skill within their organization. This includes updates, technical support, and customization options, with revenue from one-time license sales and annual maintenance fees.
💬 Integration Tip
Ensure Python3 and required binaries like tesseract or ifcopenshell are installed; start by classifying common file types like CSV or IFC to build confidence before handling complex data sources.
Scored May 17, 2026
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