iris-interface-doc-ingest

Name: iris-interface-doc-ingest
Availability: InStock
Author: skylercook

Convert interface PDF, DOC, DOCX, XLS, and XLSX documents to Markdown and structured JSON.

Updated Jun 4, 2026

Search Tags:#document conversion #API development #Markdown #structured JSON #interface documentation

Ready to run

npx skills add https://github.com/SkylerCook/imedical.agents --skill iris-interface-doc-ingest

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: iris-interface-doc-ingest
Source: https://github.com/SkylerCook/imedical.agents/tree/main/plugins/iris-interface-dev-plugin/skills/iris-interface-doc-ingest
Command: npx skills add https://github.com/SkylerCook/imedical.agents --skill iris-interface-doc-ingest

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pdfplumber, python-docx, openpyxl, xlrd, markitdown, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill converts interface PDF, DOC, DOCX, XLS, or XLSX documents into Markdown and structured JSON, enabling efficient processing for field matching, diagnostics, and development planning without overwhelming the session context.

Core Features & Use Cases

Document Conversion: Converts interface documents into Markdown and structured JSON.
Efficient Processing: Facilitates field matching, diagnostics, and development planning.
Use Case: Ideal for developers who need to process interface documents for various applications such as API development and system integration.

Quick Start

Convert the interface document 'api-guide.pdf' to Markdown and JSON using the iris-interface-doc-ingest skill.

Frequently Asked Questions about iris-interface-doc-ingest

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

FAQPage Schema

How do I convert interface documents to Markdown and structured JSON for API development?▼

To convert interface documents to Markdown and structured JSON, use a document conversion process that parses PDF, DOC, DOCX, XLS, and XLSX files, enabling field matching and development planning without overwhelming session context.

What's the best way to extract interface fields from a PDF for diagnostics?▼

The best way to extract interface fields from a PDF for diagnostics is converting the document into structured JSON and Markdown, which facilitates efficient field matching and systematic diagnostics for system integration workflows.

Do I need Python libraries like pdfplumber and python-docx to convert interface documents?▼

Yes, converting interface documents requires Python libraries such as pdfplumber, python-docx, openpyxl, and xlrd to parse formats like PDF, DOC, and XLSX into structured JSON and Markdown outputs.

Can I use MarkItDown to convert interface documents for system integration?▼

Yes, MarkItDown can be used as an optional dependency to convert interface documents into Markdown and structured JSON, streamlining field matching and development planning for system integration workflows.

Does converting interface documents to structured JSON help with session context limits?▼

Yes, converting interface documents to structured JSON and Markdown helps manage session context limits by enabling efficient processing for field matching and diagnostics without overwhelming the environment.

What file formats are supported for interface document conversion to structured JSON?▼

Supported file formats for interface document conversion to structured JSON and Markdown include PDF, DOC, DOCX, XLS, and XLSX, ensuring comprehensive coverage for software development workflows.