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knowledge-base

Retrieve and integrate Obsidian vault notes into conversational responses.

8|Updated Feb 25, 2026
Search Tags:#personalization#search#retrieval#memory#obsidian#tagging#knowledge-base
One-click install
npx skills add https://github.com/SenseTime-FVG/sensenova-claw --skill knowledge-base-sensetime-fvg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-base
Source: https://github.com/SenseTime-FVG/sensenova-claw/tree/main/.sensenova-claw/skills/knowledge-base
Command: npx skills add https://github.com/SenseTime-FVG/sensenova-claw --skill knowledge-base-sensetime-fvg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides reliable, context-aware retrieval and long-term memory management from a user's Obsidian vault so conversational agents avoid missing prior notes, preferences, and decisions when answering user queries.

Core Features & Use Cases

  • Session indexing on start: generate a compact index that surfaces user profile and recent notes to guide subsequent retrieval decisions.
  • Retrieval-augmented QA: trigger fuzzy, synonym-aware searches on keywords or contextual signals and inject matched note summaries into replies.
  • Automated knowledge management: classify, tag, backlink and write profile/qa/fact notes when the conversation contains storable information or explicit /remember commands.
  • Use case: automatically load a developer's profile and previous design decisions at session start, search for related notes when asked about a prior project, and create a fact entry when the user provides an API endpoint.

Quick Start

Ask the assistant to load your Obsidian knowledge index and search your vault for notes about the specified topic before answering.

Frequently Asked Questions about knowledge-base

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate my Obsidian vault into conversational AI responses?▼

To integrate Obsidian vaults into conversational AI, this skill indexes notes on session startup and retrieves context via synonym-aware fuzzy search to augment answers with your personal knowledge.

How do I automatically save chat facts and decisions to Obsidian?▼

You can automatically save chat facts to Obsidian by using automated writes that classify, tag, and generate backlinks for profile, QA history, and fact notes during conversations.

Can an AI assistant read and search specific notes from my Obsidian vault?▼

Yes, an AI assistant can read and search specific Obsidian notes using targeted note reads and keyword- or context-triggered fuzzy searches to inject matched summaries into replies.

Does retrieval-augmented generation work with local Obsidian knowledge bases?▼

Retrieval-augmented generation works with local Obsidian knowledge bases by generating compact indexes and performing synonym-enhanced fuzzy searches to surface prior notes and user preferences.

What is the best way to maintain long-term memory for an AI using Obsidian?▼

The best way to maintain long-term AI memory using Obsidian is by indexing user profiles at startup and automatically writing storable information as tagged, backlinked fact notes.

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