Agent skill · data analytics · datadrivenconstruction
df-merger
Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.
Why this skill is useful
Provides domain-specific knowledge for merging construction-related DataFrames with intelligent schema reconciliation and key matching.
What it needs
Requires python3 installed locally. About 4k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
DataFrame Merger for Construction Data Overview Construction projects combine data from BIM, schedules, costs, and sensors. This skill merges DataFrames from disparate sources with intelligent key matching and schema reconciliation. Python Implementation Quick Start Common Use Cases 1. BIM + Schedule Integration 2. Cost + QTO 3. Multiple Sources Resources DDC Book: Chapter 2.3 - Pandas DataFrame
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/df-merger