llmwiki-ingest
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.
llmwiki-ingest converts documents into structured wiki pages with automatic extraction of entities, concepts, and cross-links.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-06-18
llmwiki-ingest converts documents into structured wiki pages with automatic extraction of entities, concepts, and cross-links. 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.
Use it when
- llmwiki-ingest handles markdown files, PDFs, URLs, and session transcripts.
- Yes.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
Pratiyush/llm-wiki/llmwiki-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 markdown files into my wiki?
llmwiki-ingest processes markdown files by extracting entities, concepts, and relationships, then automatically creates cross-linked wiki pages. The tool writes source summaries, generates or updates entity and concept pages, and maintains a searchable index—transforming your raw markdown into an interconnected knowledge base.
What file formats can llmwiki-ingest process?
llmwiki-ingest handles markdown files, PDFs, URLs, and session transcripts. It converts each format into structured wiki pages by extracting people, companies, projects, and concepts, then cross-linking them semantically. The tool also processes folders for batch ingestion, making it flexible for diverse source material.
Can llmwiki-ingest batch ingest wiki files?
Yes. llmwiki-ingest supports batch ingestion of multiple files and folders at once. It processes each document to extract entities and concepts, creates interconnected pages, and maintains consistency across your entire import. An activity log tracks all changes while a searchable index keeps your knowledge base organized.
How does llmwiki-ingest handle contradictions?
llmwiki-ingest flags contradictions and inconsistencies during bulk imports to help maintain wiki integrity. When conflicts are detected between new content and existing pages, the tool alerts you so you can review and resolve them before finalizing the ingestion.
What does llmwiki-ingest extract from session transcripts?
llmwiki-ingest processes session transcripts into structured project entities, capturing decisions, tools used, and participants. It extracts people, companies, and concepts, then creates cross-linked pages that organize your session data into a searchable, interconnected knowledge base.
Does llmwiki-ingest create wiki pages automatically?
Yes. llmwiki-ingest automatically creates wiki pages from your source files by extracting entities and concepts, writing summaries, and establishing cross-links between related pages. It updates existing pages when needed and maintains a complete activity log of all ingestion operations.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
llmwiki-ingest
What this skill does
Takes a source file (or a folder) and turns it into wiki pages following the Karpathy LLM Wiki pattern:
- Writes a
wiki/sources/<slug>.mdsummary - Creates/updates entity pages for people, companies, projects, tools, libraries mentioned
- Creates/updates concept pages for ideas, patterns, decisions discussed
- Cross-links everything with
[[wikilinks]] - Flags contradictions
- Updates
wiki/index.md,wiki/overview.md,wiki/log.md
When to use
- User says "ingest this file", "add this to the wiki", "process this into the wiki"
- User runs the
/wiki-ingestslash command - User says "sync the wiki" — in that case, the
llmwiki-syncskill runs the converter first, then invokes this skill for each new file
Workflow
Follow the Ingest Workflow from the repo's CLAUDE.md
(truncated - see the full file via the links below)
File tree — 1 file
.claude/skills/llmwiki-ingest/SKILL.md
Let your AI agent find skills like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 56,283 agent skills by what they can do, searchable in plain language.
wish › “Ingest documents into a structured wiki with automatic entity and concept extraction”
Give your agent the search over MCP, or paste the wish link into any chat. No install? Search from any chat →
Related skills
This skill searches your local llmwiki—a knowledge base built from your Claude Code, Cursor, and other session history—to answer questions about your own work and decisions. It reads relevant wiki pages, synthesizes answers with inline citations, and can save substantial responses as new synthesis pages for future reference.
llmwiki-sync automates the full pipeline from Claude Code session transcripts to a searchable, LLM-maintained knowledge base. It converts raw session logs to markdown, ingests them into wiki structure (sources, entities, concepts), and optionally builds a static HTML site. Use it to keep your work history organized and queryable across projects.
wiki-all orchestrates the entire llmwiki workflow in sequence: initializing directories, syncing session data to markdown, constructing knowledge graphs with Graphify AI, compiling HTML output, running 14 quality checks, and launching a local server. Use it when you need to rebuild your wiki from scratch or refresh everything at once.
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.
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.
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.
More skills llm-wiki (MIT) · Llm Wiki (unlicensed) · wiki-ingest (MIT) · project-maintainer (MIT) · self-learn (MIT) · rag-skills (Apache-2.0) · wiki-lint (MIT) · wiki-ingest (MIT)