Search structured wiki pages by keywords, tags, and content relevance.
npx skills add https://github.com/surebeli/AK-llm-wiki --skill wiki-search-surebeli
Please help me install this Agent Skill. Skill: wiki-search Source: https://github.com/surebeli/AK-llm-wiki/tree/main/plugin/skills/wiki-search Command: npx skills add https://github.com/surebeli/AK-llm-wiki --skill wiki-search-surebeli
This Skill enables fast, ranked searching across a structured knowledge base, allowing users to quickly locate relevant pages and information.
Use the wiki-search skill to find pages related to "machine learning fairness."
High-intent search queries and answers about installing and using this skill.
To search a knowledge base, use this skill to perform keyword-based, tag-based, and content-aware search within a structured wiki. It provides ranked and relevant results for efficient knowledge retrieval.
Yes, you can filter wiki search results by tags and content type. The skill performs tag-based and content-aware search, understanding wiki structure and cross-references to rank results accurately.
The best way to find recent wiki pages is to use this skill's context-aware search. It understands wiki page recency and ranks the most pertinent entries by relevance and freshness.
Ranked search for a structured wiki works by using a combination of index scanning and full-text search. This mechanism delivers accurate, relevant outputs for navigation and knowledge discovery tasks.
Yes, this wiki search skill works without external dependencies. It relies solely on its internal scripts to perform index scanning and full-text search across your structured knowledge base.
You should use content-aware search instead of simple keyword matching when you need to verify content or discover knowledge. It evaluates wiki structure, cross-references, and page recency to rank results.
thieungCreate and validate knowledge base vault directories and CLAUDE.md schema.
erencodingManage Lark knowledge bases by creating spaces and organizing nodes.
rnbenIngest sources into a persistent, interlinked Markdown wiki with frontmatter validation.
BEKO2210Search knowledge bases semantically with vector embeddings and keyword fallback.
