doc-pipeline

Create and execute chained document processing workflows with a custom DSL.

368|75|Updated Jan 29, 2026

Search Tags:#workflow #orchestration #pipeline #data processing #document automation #scripting

Ready to run

npx skills add https://github.com/claude-office-skills/skills --skill doc-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: doc-pipeline
Source: https://github.com/claude-office-skills/skills/tree/main/doc-pipeline
Command: npx skills add https://github.com/claude-office-skills/skills --skill doc-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, openpyxl, python-pptx, reportlab, jinja2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines complex document processing by allowing users to chain multiple operations into reusable, automated workflows, reducing manual effort and ensuring consistency.

Core Features & Use Cases

Pipeline Creation: Define multi-stage workflows for document processing.
Data Flow: Seamlessly pass data between different operations (e.g., extraction, transformation, AI analysis, output generation).
Use Case: Automate the process of taking a PDF, extracting its text, analyzing it for specific clauses using AI, and then generating a formatted DOCX report.

Quick Start

Use the doc-pipeline skill to create a workflow that extracts text from a PDF, analyzes it for risks, and generates a DOCX report.

Frequently Asked Questions about doc-pipeline

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

FAQPage Schema

How do I chain document operations into an automated workflow?▼

Document automation pipelines chain multiple operations like extraction, transformation, AI analysis, and output generation into a single repeatable workflow using a custom DSL, passing data seamlessly between stages.

What is the best way to automate PDF text extraction and DOCX report generation?▼

Use a document processing pipeline to extract text from a PDF, analyze it for specific clauses, and generate a formatted DOCX report, orchestrating the stages with Python libraries like python-docx and reportlab.

Can I pass data between extraction and transformation stages in document automation?▼

Yes, document pipelines support data flow between stages, allowing you to pass extracted text or transformed data directly into AI analysis and output generation steps within the same workflow.

Does this document pipeline support Jinja2 templating for output generation?▼

Yes, the pipeline uses Jinja2 alongside python-docx, openpyxl, python-pptx, and reportlab to facilitate formatted output generation, enabling automated document creation from processed pipeline data.

How do I define multi-stage workflows for document processing?▼

Multi-stage workflows are defined using a custom DSL that specifies extraction, transformation, AI analysis, and output generation stages, orchestrating them into a single executable document processing pipeline.

When should I not use a pipeline approach for document automation?▼

A pipeline approach is unnecessary for single-step document tasks; it is designed for complex, multi-stage document automation requiring chained operations, data flow between stages, and repeatable workflows.