Agent skill · data analytics · datadrivenconstruction
cwicr-data-loader
Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.
Why this skill is useful
Provides a specialized data loading utility for multiple formats that enhances data integration capabilities in construction finance applications.
What it needs
Requires openpyxl, pandas, pyarrow, python3, qdrant-client installed locally. About 5k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
CWICR Data Loader Business Case Problem Statement DDC CWICR database is distributed in multiple formats: Apache Parquet (optimized for analytics) Excel workbooks (human-readable) CSV files (universal exchange) Qdrant snapshots (vector search) Applications need unified data access regardless of source format. Solution Universal data loader supporting all CWICR formats with automatic schema detection, validation, and pandas DataFrame conversion. Business Value Format agnostic - Load from any CWICR distribution Validated data - Automatic schema validation Memory efficient - Lazy loading for large datasets Type-safe - Proper data types preserved Technical Implementation Prerequisites Python Implementation Quick Start Common Use Cases 1. Multi-Language Loading 2. Category Filtering 3. Keyword Search Database Statistics Resources GitHub: OpenConstructionEstimate-DDC-CWICR Downloads: CWICR Releases Formats: Parquet, Excel, CSV, Qdrant snapshots
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/cwicr-data-loader