Agent skill · Data & Analytics

qto-report-datadrivenconstructi-ddc-skills-for-ai-ag

Generate Quantity Take-Off (QTO) reports from BIM/CAD data. Extract volumes, areas, counts by category. Group elements, apply calculation rules, and create cost estimates automatically.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill qto-report-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/analysis/qto-report-datadrivenconstructi-ddc-skills-for-ai-ag/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Quantity Take-Off (QTO) Report Generation ## Overview Based on DDC methodology (Chapter 3.2), this skill automates the extraction and grouping of quantities from BIM/CAD data. QTO is the foundation for cost estimation, scheduling, and project planning in construction. **Book Reference:** "Quantity Take-Off и автоматическое создание смет" / "QTO and Automated Estimates" > "QTO Quantity Take-Off: группировка данных по атрибутам позволяет автоматически извлекать объемы и количества из BIM-моделей для расчета стоимости." > — DDC Book, Chapter 3.2 ## 5D BIM Concept The QTO process is central to 5D BIM: - **3D**: Geometry (volume, area, length) - **4D**: Time (schedule integration) - **5D**: Cost (quantity × unit price) ## Quick Start ```python import pandas as pd # Load BIM element data df = pd.read_csv("revit_export.csv") # Generate QTO by category qto = df.groupby('Category').agg({ 'Volume': 'sum', 'Area': 'sum', 'ElementId': 'count' }).rename(columns={'ElementId': 'Count'}) # Calculate cost (if unit prices available) qto['Unit_Price'] = [150, 80, 450, 200] # $/m³ qto['Total_Cost'] = qto['Volume'] * qto['Unit_Price'] qto.to_excel("qto_report.xlsx") ``` ## Core QTO Functions ### Basi

What's inside
Steps it walks through
  1. Overview
  2. 5D BIM Concept
  3. Quick Start
  4. Core QTO Functions
  5. Basic QTO by Category
  6. Multi-Level QTO
  7. QTO with Pivot Table
  8. Cost Calculation from QTO
  9. Apply Unit Prices
  10. Apply Rules from Excel
  11. BIM Data Extraction Patterns
  12. From Revit Export (CSV)
  13. From IFC Export
  14. Advanced QTO Reports
Ships with 1 file
  • metadata.json
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About this skill
What does the qto-report-datadrivenconstructi-ddc-skills-for-ai-ag skill do?

Generate Quantity Take-Off (QTO) reports from BIM/CAD data. Extract volumes, areas, counts by category. Group elements, apply calculation rules, and create cost estimates automatically.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill qto-report-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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