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
Decision gist · record as of 2026-05-11
Wiki Ingest organizes your articles, documents, and notes into a searchable, cross-referenced knowledge base. 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.
Use it when
- Yes.
- wiki-ingest supports batch processing files into wiki format with proper linking.
Verify before relying
Read SKILL.md below before installing (2 files). Open directory: indexed for reading, not audited.
Install
sanyuan0704/sanyuan-skills/wiki-ingest · repository language: Python
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
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)
File tree — 2 files
skills/wiki-ingest/SKILL.md
skills/wiki-ingest/references/page-templates.md
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Related skills
Wiki Ingest automates the process of reading source documents and weaving their content into your wiki. It identifies key entities, claims, and relationships, then creates or updates wiki pages while maintaining bidirectional cross-references and a source index. Each ingest operation is logged for full traceability.
llm-wiki lets you construct and maintain a compounding knowledge base as organized markdown files, with the agent handling summarization, cross-referencing, and consistency checks while you direct curation. Unlike RAG systems that rediscover knowledge per query, your wiki compiles once and stays current, with contradictions flagged and synthesis reflecting all ingested material.
llm-wiki helps you create and maintain a compounding knowledge base as interlinked markdown files, inspired by Andrej Karpathy's pattern. Unlike traditional retrieval systems that rediscover information per query, this skill compiles knowledge once and keeps it current with built-in cross-references and contradiction detection. The agent handles summarization, filing, and maintenance while you curate sources and direct analysis.
wiki-ingest automates the transformation of a single source document into a structured wiki by creating and linking source, entity, concept, and synthesis pages. It reads your space's conventions, flags contradictions with existing content, and maintains a log of all ingestions. The skill ensures every claim traces back to its origin and all cross-references stay current.
wiki-ingest reads external sources—files, URLs, or images—and populates your Obsidian vault by extracting entities and concepts, then creating or updating interconnected wiki pages. It handles delta tracking to skip unchanged sources, supports multiple vault organization modes, and uses file locking to safely coordinate concurrent writes across your knowledge base.
llmwiki-ingest transforms source files into interconnected wiki pages by extracting entities, concepts, and relationships. It writes source summaries, creates or updates entity and concept pages, cross-links everything, and flags contradictions—all while maintaining a searchable index and activity log. Perfect for building knowledge bases from session transcripts, markdown files, PDFs, and URLs.
More skills wiki-ingest (MIT) · wiki (MIT) · karpathy-llm-wiki (MIT) · book-study (MIT)