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extraction-pipeline-patterns

Automate documentation and validation of multi-format extraction pipeline patterns.

Updated Jan 12, 2026
Search Tags:#documentation#routing#pipeline#extraction#multi-format#data-processing#format-detection
One-click install
npx skills add https://github.com/RichmanTanOrganisation/MainCore --skill extraction-pipeline-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: extraction-pipeline-patterns
Source: https://github.com/RichmanTanOrganisation/MainCore/tree/main/.ai-rulez/skills/extraction-pipeline-patterns
Command: npx skills add https://github.com/RichmanTanOrganisation/MainCore --skill extraction-pipeline-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill codifies a reusable extraction pipeline pattern library to ensure consistent handling of 56+ formats, enabling reliable format detection, routing, and fallback strategies.

Core Features & Use Cases

  • Format Detection & Routing: Standardizes MIME/extension checks and directs data to the correct extractor.
  • Fallback & Recovery: Documents OCR fallbacks, password handling, and nested archive processing for robust extraction.
  • Use Case: When adding support for a new format, implement the extraction pattern once and reuse it across projects.

Quick Start

Use this pattern to validate a sample file by tracing detection decisions, chosen extractors, and fallbacks.

Frequently Asked Questions about extraction-pipeline-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a multi-format data extraction pipeline?▼

Build a multi-format data extraction pipeline by applying pattern-driven standardization for MIME and extension checks, routing data to specific extractors, and implementing OCR fallbacks for robust document processing.

What is format detection and routing in data processing?▼

Format detection and routing in data processing is the mechanism of standardizing MIME and extension checks to direct data to the correct extractor, ensuring reliable multi-format data handling.

How do I handle extraction failures for unsupported file formats?▼

Handle extraction failures for unsupported file formats by implementing documented fallback and recovery strategies, including OCR fallbacks for images, password handling, and nested archive processing.

Can I reuse the same extraction pattern for PDFs and Office documents?▼

Yes, you can reuse the same extraction pattern for PDFs and Office documents by codifying the logic into a reusable library, implementing the extractor once and applying it across multiple software engineering projects.

Does this extraction pipeline pattern support nested archive processing?▼

Yes, this extraction pipeline pattern supports nested archive processing as part of its fallback and recovery documentation, ensuring robust data extraction from compressed files alongside OCR and password-protected documents.

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