Store and retrieve persistent project knowledge in a markdown wiki.
npx skills add https://github.com/hve4638/hve-cc-marketplace --skill wiki-hve4638
Please help me install this Agent Skill. Skill: wiki Source: https://github.com/hve4638/hve-cc-marketplace/tree/main/wiki/skills/wiki Command: npx skills add https://github.com/hve4638/hve-cc-marketplace --skill wiki-hve4638
Persistent, self-maintained markdown knowledge base for project and session knowledge. Inspired by Karpathy's LLM Wiki concept.
Start by ingesting a page with a title and content, then use queries to retrieve and review related pages.
High-intent search queries and answers about installing and using this skill.
To persist markdown knowledge across sessions, you can ingest project content into a local, cross-referenced knowledge base. The system automatically captures session metadata, ensuring your knowledge remains accessible and queryable in future interactions.
You can search a markdown knowledge base by using the query function to find matching pages by keywords and tags. The system returns relevant pages complete with text snippets and citations for quick reference and review.
Yes, you can run a lint health check on your markdown wiki to identify orphan pages, stale content, broken cross-references, oversized pages, and structural contradictions. This helps maintain a clean and navigable knowledge base.
The best way to quickly add a single page is by using the quick add function, which provides a simpler alternative to the full ingest operation. It allows you to rapidly store individual pieces of knowledge without processing multiple pages.
Yes, the wiki knowledge base supports cross-referencing to automatically cross-link captured pages. This creates a connected web of markdown documents, enabling seamless navigation between related project and session knowledge entries.
You can manage and delete markdown pages in a local knowledge base using basic list, read, and delete operations. These CRUD functions allow you to review stored pages and remove outdated or unnecessary content efficiently.
zjykzkIngest raw text data into an Obsidian wiki as searchable knowledge.
zzafergokConvert Markdown documents to HTML using marked.js, pandoc, gomarkdown, or static site generators.
Strategic-AutomationIngest sources into an interlinked Markdown wiki with linting and queries.
vanillaflavaTransform user-generated conversation content into structured wiki pages on the local filesystem.
