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.
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Added May 26, 2026
ai-agentsaws
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Scanned May 27, 2026
$npx -y skills add thoreinstein/obsidian-rag --skill research --agent claude-code
Installs into .claude/skills of the current project.
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---
name: research
description: >-
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.
---
# Deep Vault Research
Research a topic across the user's Obsidian vault using a multi-pass approach.
## Workflow
1. **Semantic Discovery** — Call `obsidian_rag_query` with the user's question (limit 5-10). This surfaces the most relevant chunks across the vault.
2. **Targeted Reading** — For each high-relevance result, call `obsidian_read_note` to get the full context. Skim for the most pertinent sections.
3. **Link Traversal** — Check `obsidian_get_links` on the most relevant notes to find connected knowledge. Read promising linked notes.
4. **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