wiki-ingest

Ingest text, Markdown, PDFs, and directories into structured wiki pages.

Updated Aug 23, 2026

Search Tags:#templates #indexing #wiki #content-management #knowledge-base #cross-references #ingest

Ready to run

npx skills add https://github.com/jiakailong/GraphCoder --skill wiki-ingest-jiakailong

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wiki-ingest
Source: https://github.com/jiakailong/GraphCoder/tree/main/app/code_agent/skills/wiki-ingest
Command: npx skills add https://github.com/jiakailong/GraphCoder --skill wiki-ingest-jiakailong

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates scattered articles, notes, and documents into a consistent, searchable wiki knowledge base, enabling rapid retrieval and cross-linking.

Core Features & Use Cases

Ingest content from text, Markdown, PDFs, or directories and map them into wiki pages.
Extract and organize knowledge entities into concepts, products, patterns, and comparisons, updating cross-references automatically.
Maintain an audit trail by updating wiki/index.md and wiki/log.md with each ingest.

Quick Start

Provide the source content you want added to the wiki (text, file path, or directory) and the agent will create or update wiki pages accordingly.

Frequently Asked Questions about wiki-ingest

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

FAQPage Schema

How do I convert Markdown and PDF files into a structured wiki?▼

You can ingest text, Markdown, PDFs, or entire directories to automatically map content into structured wiki pages, organizing knowledge entities and updating cross-references for fast retrieval.

What is the best way to build a searchable knowledge base from scattered notes?▼

Building a searchable knowledge base from scattered notes is best achieved by ingesting content into a wiki, which automatically structures pages, applies templates, and maintains an index and log for rapid retrieval and cross-linking.

Can I batch ingest multiple documents into a wiki at once?▼

Yes, you can batch ingest multiple documents at once by providing a directory path, which automatically maps the files into structured wiki pages while updating the index and audit log.

How does idempotent updating work for wiki pages?▼

Idempotent updating for wiki pages ensures that ingesting the same content multiple times yields the same result without duplicating entries, safely refreshing the page content and audit trail.

Does wiki-ingest support automatic indexing and cross-references for content management?▼

Yes, wiki-ingest supports automatic indexing and cross-references by extracting knowledge entities into concepts, products, and patterns, updating wiki/index.md and wiki/log.md with each ingest.