knowledge-agent

Converts raw captured notes into structured atomic knowledge with tagging and linking.

3|4|Updated Jul 20, 2026
One-click install
npx skills add https://github.com/xrcodexcode/xr_node --skill knowledge-agent-xrcodexcode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge-agent
Source: https://github.com/xrcodexcode/xr_node/tree/main/claude/skills/knowledge-agent
Command: npx skills add https://github.com/xrcodexcode/xr_node --skill knowledge-agent-xrcodexcode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Raw captured information often sits unprocessed in an inbox, losing value over time. This Skill transforms scattered captures into structured, modular, and traceable knowledge notes that integrate into a Zettelkasten-style vault. ## Core Features & Use Cases - Extraction & Summarization: Pulls core claims, definitions, examples, and verbatim quotes from raw captures in 01_RAW/CAPTURE/. - Atomization: Synthesizes literature notes and candidate atomic concepts into 01_RAW/PROCESS/ for active study. - Controlled Tagging & Linking: Validates tags against a controlled vocabulary and checks graph connections before promotion. - Use Case: After capturing highlights from a research paper, run this Skill to extract key claims, draft atomic notes, apply consistent tags, and get an approval-ready knowledge note linked into your MOC hierarchy. ## Quick Start Ask the agent to process the latest capture in 01_RAW/CAPTURE into a structured atomic knowledge note with validated tags and links.

Frequently Asked Questions about knowledge-agent

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

FAQPage Schema
How do I turn raw notes into atomic Zettelkasten notes?

Run the knowledge-agent on files in 01_RAW/CAPTURE. It extracts core claims, definitions, and quotes, then drafts literature notes and candidate atomic concepts in 01_RAW/PROCESS for your review before promotion.

What is a knowledge agent for personal knowledge management?

A knowledge agent is an automated workflow that processes raw captured information into structured vault notes. This one handles extraction, summarization, atomization, tagging, and linking so captures become traceable knowledge nodes.

Does the knowledge agent enforce a controlled tag vocabulary?

Yes. It validates all candidate tags against the controlled vocabulary defined in tagging.md before promotion, preventing taxonomy fragmentation across the vault.

Can notes be promoted without manual approval?

No. The workflow presents each candidate knowledge note to the user for approval before promotion, ensuring human review of extracted claims, tags, and graph connections.

What are the limitations of automated note atomization?

Automated atomization depends on the quality of the raw capture and may split or merge concepts imperfectly. The approval gate exists precisely so users can correct boundaries, tags, and links before notes enter the permanent vault.