Research

Skill thoreinstein/obsidian-rag/skills/research

Use when the user asks a question about their vault, wants to explore a topic across notes, or says "research", "find out", "what do I know about", or "summarize my notes on". Chains semantic search, note reading, and link traversal for deep vault research.From its SKILL.md

Install

npx -y skills add thoreinstein/obsidian-rag --skill research

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.4 KB, 247 tokens by cl100k_base, as published. Nobody here has run it

Deep Vault Research

Research a topic across the user's Obsidian vault using a multi-pass approach.

Workflow

Semantic Discovery — Call obsidian_rag_query with the user's question (limit 5-10). This surfaces the most relevant chunks across the vault.
Targeted Reading — For each high-relevance result, call obsidian_read_note to get the full context. Skim for the most pertinent sections.
Link Traversal — Check obsidian_get_links on the most relevant notes to find connected knowledge. Read promising linked notes.
Synthesis — Combine findings into a clear answer with citations:
- Reference specific notes by name: [[Note Name]]
- Quote relevant passages when helpful
- Note any gaps or contradictions in the vault's knowledge

Arguments

The user's query follows the skill invocation. Example: /research what do I know about authentication patterns

Tips

If RAG returns no results, suggest running /index first
For broad topics, do multiple RAG queries with different phrasings
Always cite which notes your answer draws from

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.