Claude Skill MartBrowse skillsQuick linesLearn by videoTerminal guideWhat is a Skill?
← Back to list

BIM Classification AI

Auto-suggests standard classification codes (UniFormat, MasterFormat) for BIM elements from their name, category and properties.

Data & AnalyticsIntermediate★ 347⑂ 87AI score 6/10Last updated: Aug 22, 2026

What it does

  • Takes BIM element data exported from Revit/IFC (id, name, category, properties) and suggests UniFormat II and CSI MasterFormat codes.
  • Scores each candidate with a keyword/category confidence value (0–1), returns the top 5 suggestions and picks the best one as the default.
  • Includes a built-in mapping table for common Revit categories (Walls, Ducts, Structural Columns, Windows, Sprinklers, ...).
  • Supports batch classification over a pandas DataFrame, Excel export, and a summary of classification rate and high-confidence rate.

Who it's for

  • BIM managers and coordinators auditing model data quality and missing classification codes.
  • Cost estimators and QTO specialists who need elements mapped to cost databases.
  • AEC data engineers automating what used to be manual code assignment across thousands of elements.

Examples

  1. Single element — classify "Concrete Floor Slab Level 2" (category Floors, material Concrete) and get B1010 Floor Construction with a confidence score.
  2. Batch run — read bim_elements.xlsx, append UniFormat/MasterFormat columns for every element, and write classified_elements.xlsx.
  3. QA report — call get_summary() to report "classification rate 87%, high confidence 62%" in a model-quality deliverable.

Caveat: OmniClass, Uniclass and CWICR exist only as enum values with no code tables, and the CWICR mapping example references an undefined helper — you must supply those yourself.

· · · 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-classification-ai/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-classification-ai folder from the GitHub repo datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction into my ~/.claude/skills/bim-classification-ai/.
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 /tmp/ddc && mkdir -p ~/.claude/skills && cp -r /tmp/ddc/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai ~/.claude/skills/

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

  1. Open a terminal (PowerShell or Git Bash on Windows).
  2. Verify Python and install dependencies: python3 --version, then pip install pandas openpyxl.
  3. Clone the repository: git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git
  4. Copy the skill into Claude's skills folder: mkdir -p ~/.claude/skills && cp -r DDC_Skills_for_AI_Agents_in_Construction/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai ~/.claude/skills/
  5. Restart Claude Code and prompt something like "Classify these BIM elements with UniFormat codes".
  6. Prepare your input as an Excel/CSV file with element_id, name and category columns so batch classification works out of the box.