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BIM Clash Detection

A Python skill that auto-detects MEP/structural/architectural clashes from BIM element bounding-box data, grades severity, and exports an Excel clash report.

Data & AnalyticsIntermediate★ 297⑂ 79AI score 7/10Last updated: Aug 22, 2026

What it does

  • Loads a DataFrame/Excel of BIM elements (element_id, discipline, level, min/max XYZ) and finds conflicts via 3D bounding-box intersection.
  • Distinguishes hard clashes (physical intersection), soft clashes (clearance violations), workflow conflicts and duplicates.
  • One-call setup of standard coordination tests: MEP vs structure, electrical vs structure, plumbing vs structure, duct clearance, fire protection vs structure.
  • Tracks severity (critical/major/minor/info), status (new/active/resolved/approved/ignored), assignee and resolution notes.
  • Produces summary stats by discipline pair and severity, plus a clash_report.xlsx export.

Who it's for

  • BIM coordinators and design managers who export Revit/IFC models to CSV/Excel.
  • Engineers wanting scripted clash screening in a Python pipeline without a Navisworks seat.
  • Construction data teams feeding clash metrics into dashboards or analytics.

Examples

  1. "Load bim_elements.xlsx, run the standard MEP tests, and tell me how many critical clashes exist" → runs detection and prints the severity breakdown.
  2. "Filter clashes involving mechanical/electrical, assign them to the MEP Team and export to Excel" → assignment plus clash_report.xlsx.
  3. "Add a soft-clash test with 50 mm clearance between ducts" → adds a ClashTest with tolerance=0.05 and re-runs.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/HEAD/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the 1_DDC_Toolkit/BIM-Analysis/bim-clash-detection folder from the GitHub repo datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction into my ~/.claude/skills/bim-clash-detection/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git && mkdir -p ~/.claude/skills && cp -r DDC_Skills_for_AI_Agents_in_Construction/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and confirm prerequisites: python3 -V, then pip install pandas openpyxl.
  2. Clone the repository: git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r DDC_Skills_for_AI_Agents_in_Construction/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection ~/.claude/skills/
  5. Restart Claude Code and verify bim-clash-detection appears under /skills.
  6. Prepare an Excel/CSV with discipline and min_x…max_z columns, then ask: "Run clash detection on this file."
View source on GitHub ↗License: MIT