table_collector
OfficialStreamline data collection from tables with structured output.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the collection of data from structured tables, converting various file formats into standardized records.
Core Features & Use Cases
- Table File Reading: Handles CSV, TSV, XLS, and XLSX files.
- Recursive Collection: Can scan directories for supported files.
- Metadata Adding: Includes file source information in output.
- Output Formatting: Supports JSONL, JSON, CSV, and auto-detection.
- Use Case: Perfect for researchers or data analysts needing to convert local tables into a uniform structure for further processing.
Quick Start
Run the table_collector skill with the input file path and desired output file path.
Dependency Matrix
Required Modules
openpyxlpandas
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: table_collector Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#table-collector Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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