skillfed

wiki-ingest

Transform loose content into a living knowledge base by ingesting articles, documents, or notes into organized wiki pages. The skill automatically extracts concepts, products, and patterns, creates interconnected pages with cross-references, and maintains a searchable index—all while preventing duplicates and keeping your knowledge network coherent.

Wiki Ingest organizes your articles, documents, and notes into a searchable, cross-referenced knowledge base.

AI-generated summary based on this skill's SKILL.md

3,785 335 MIT updated by sanyuan0704

Install

sanyuan0704/sanyuan-skills/wiki-ingest · repository language: Python

CLI (skillfed)coming soon
git clone https://github.com/sanyuan0704/sanyuan-skills
cp -r sanyuan-skills/skills/wiki-ingest ~/.claude/skills/wiki-ingest

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How do I ingest content into a wiki using wiki-ingest?

wiki-ingest transforms loose content into organized wiki pages by automatically ingesting articles, documents, or notes. The skill extracts concepts, products, and patterns, then creates interconnected pages with cross-references. It maintains a searchable index while preventing duplicates, so your knowledge network stays coherent and easy to navigate.

Can wiki-ingest compile multiple articles into a knowledge base?

Yes. wiki-ingest is designed to compile multiple documents or articles into interconnected wiki pages. It automatically establishes cross-references between related content, so your compiled articles form a unified, searchable knowledge network rather than isolated pages.

Does wiki-ingest support batch processing of files?

wiki-ingest supports batch processing files into wiki format with proper linking. You can ingest multiple documents at once, and the skill handles conversion to wiki format, duplicate prevention, and automatic cross-referencing across your entire batch.

How does wiki-ingest organize content into wiki pages?

wiki-ingest organizes content by extracting knowledge entities and establishing cross-references automatically. It structures notes and documents into categorized wiki pages, builds a searchable index, and creates a coherent knowledge network where related concepts link together seamlessly.

What happens when I convert documents to wiki format with this tool?

When you convert documents to wiki format using wiki-ingest, the skill ingests your content, extracts key concepts and entities, creates structured wiki pages, and automatically generates cross-references. The result is a searchable, organized knowledge base where your documents become interconnected rather than standalone files.

SKILL.md

rendered from the published skill — quoted content, verbatim

Wiki Ingest — Knowledge Base Compiler

Compile any text content (articles, documents, notes) into structured wiki pages with cross-references, building a searchable, interconnected knowledge network.

IRON LAW: One wiki page = one knowledge entity. Never cram multiple concepts into one page.

Wiki Directory Structure

Wiki defaults to wiki/ under the current project root. User may specify a different path.

wiki/
├── index.md              # Full table of contents
├── log.md                # Append-only operation log
├── concepts/             # Core concept pages
├── products/             # Product/tool entity pages
├── patterns/             # Engineering patterns & design decisions
└── comparisons/          # Cross-topic comparison pages

Workflow

1. Confirm Input

Accept user-specified content

(truncated - see the full file via the links below)

Read as markdown · JSON record · Browse the source repository

File tree — 2 files
skills/wiki-ingest/SKILL.md
skills/wiki-ingest/references/page-templates.md

Related skills

Tags

knowledge-management content-organization batch-processing cross-referencing obsidian-compatible entity-extraction document-compilation wiki-automation