Tabula PDF Table Extraction Agent
Uses Tabula Java library via tabula-py bindings to detect and extract tables from PDF documents. Supports both lattice and stream extraction modes with configurable area coordinates and outputs to pandas DataFrames or CSV.
Uses Tabula Java library via tabula-py bindings to detect and extract tables from PDF documents. Supports both lattice and stream extraction modes with configurable area coordinates and outputs to pandas DataFrames or CSV.
npx skills add agentskillexchange/skills --skill tabula-pdf-table-extraction-agent
Uses Tabula Java library via tabula-py bindings to detect and extract tables from PDF documents. Supports both lattice and stream extraction modes with configurable area coordinates and outputs to pandas DataFrames or CSV.
Overview
This skill provides automated integration capabilities designed for production agent workflows. It handles authentication, rate limiting, and error recovery out of the box, allowing agents to focus on high-level task orchestration rather than low-level API management.
Key Features
- Automatic retry logic with exponential backoff for API rate limits
- Structured output formatting compatible with downstream agent pipelines
- Comprehensive error handling with actionable diagnostic messages
- Configurable caching layer to reduce redundant API calls
Usage
Install via the Agent Skill Exchange registry and configure with your API credentials. The skill exposes a standardized interface that works across supported agent frameworks, with framework-specific optimizations applied automatically during initialization.