Ingest fragmented sources into an interlinked local knowledge base for AI agents.
npx skills add https://github.com/XiaSanw/LLM-WIKI-Xiasanw --skill llm-wiki-xiasanw
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/XiaSanw/LLM-WIKI-Xiasanw/tree/main/skill Command: npx skills add https://github.com/XiaSanw/LLM-WIKI-Xiasanw --skill llm-wiki-xiasanw
llm-wiki solves the challenge of turning scattered, ephemeral AI interactions into a durable, interlinked local knowledge base that agents can read and remember across sessions.
Initialize a wiki and ingest your first source URL to start building.
High-intent search queries and answers about installing and using this skill.
You can build a local knowledge base by using an ingestion workflow to convert scattered sources like web pages, social posts, and PDFs into interlinked markdown pages. This organizes fragmented information into a durable, growing structure that AI agents read and remember across sessions.
The best way to ingest web pages and PDFs into a markdown knowledge graph is using a batch-ingest workflow that converts external sources into structured pages. It enforces a strict source registry and automated quality checks, ensuring stable functionality and clear entity interlinking.
Yes, you can use a shared knowledge base across Claude Code, Codex, and OpenClaw. The system uses a shared core with thin platform adapters, ensuring consistent workflows for initialization, ingestion, querying, and regression validation across all entry points.
You validate and maintain quality in an interlinked markdown knowledge base by running automated lint and status checks. These quality checks enforce a strict contract via a source registry, ensuring stable core functionality and regression validation across all platform adapters.
Yes, an AI agent knowledge base supports querying interconnected topics and synthesis pages. The query workflow allows agents to read and retrieve interconnected entities, topics, and source data, turning ephemeral interactions into a durable memory structure.
XinAlohaAudit and synchronize agent workspace configurations across Claude Code, Codex, and Grok.
srivtxConstruct interlinked markdown knowledge bases with entity and concept pages.
robkamWrite deterministic pytest/pexpect regression tests for YtreeNova behavior.
gqf2008Ingest sources into a persistent markdown knowledge base with wikilinks.
