Answer questions from an Obsidian wiki with cited sources.
npx skills add https://github.com/itsmarsss/memento --skill wiki-query-itsmarsss
Please help me install this Agent Skill. Skill: wiki-query Source: https://github.com/itsmarsss/memento/tree/main/obsidian-wiki/.skills/wiki-query Command: npx skills add https://github.com/itsmarsss/memento --skill wiki-query-itsmarsss
This Skill solves the problem of finding and synthesizing accurate answers from a large Obsidian knowledge base when you do not know where the relevant information lives.
Ask your assistant to answer your question using your Obsidian wiki with citations, for example: "What do I know about project ingest contracts, and what parts are still missing?"
High-intent search queries and answers about installing and using this skill.
To search an Obsidian vault and get cited answers, use semantic question answering to retrieve relevant pages and synthesize factual lookups or relationship queries with direct page-level citations.
Index-only lookups in Obsidian are possible by querying page summaries and frontmatter without opening full pages, providing fast answers when detailed page content is unnecessary.
Obsidian question answering supports gap questions by synthesizing information across vault directories, identifying missing relationships, and surfacing consulted pages to show what is known versus what is absent.
Stale source detection marks potentially outdated or disputed wiki pages during retrieval, applying trust annotations to consulted sources so you know which information might need verification.
Filtered visibility modes exclude internal and PII-tagged pages during wiki retrieval, returning only user-facing or public content by applying directory-level filters to the search query.
Tiered retrieval escalates from cheap index and section reads to full-page reads only when needed, optimizing knowledge base search speed when simple summaries lack sufficient detail.
tiankong0101-byteLocates active Obsidian vaults and performs safe note operations on Markdown files.
zeenie-aiAnswer questions with synthesized web research and verifiable citations via Perplexity Sonar.
liaocaoxuezheCreate and edit Obsidian-flavored Markdown notes with wikilinks, embeds, callouts, and frontmatter.
MassimilianoPiliImplement RAG systems with LangChain4j for document ingestion and vector search.
