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Create review and literature notes from articles, books, and courses with proper source attribution
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Analyze the current or a past Claude Code session to extract knowledge worth persisting to the vault. Proposes items, you pick, it writes them to the right place. This skill activates when you say capture this session, what should we save, what did we learn, or at end-of-session when valuable knowledge was generated.
One-time setup wizard — personalize the vault with your name, domains, and preferences
Hands-on guided tour of the vault — learn by doing with real examples
Migrate content from staging, chunk large files, and handle bulk note reorganization
Transform and organize notes in the Obsidian vault — add frontmatter, detect note types, create relationships
Extract URL content and create literature notes and review notes from web articles
| name | obsidian-review |
| description | Create review and literature notes from articles, books, and courses with proper source attribution |
| activation | ["review note","literature note","book review","article review","summarize article","source note","URL cleanup","notion link"] |
Create properly structured review and literature notes from source materials.
type: reviewtype: literature.obsidian-assistant-notes.md for vault-specific routing guidanceImportant: Review and literature notes point up: to their domain MOC (e.g., Machine Learning, Generative AI Resources, Software Engineering), not a generic "Reviews MOC" or "Sources MOC". No such generic MOCs exist in this vault — content is organized by domain.
---
type: review
title: "Title of Reviewed Material"
source: "Author, Title (Year)"
url: "https://..."
rating: 4
created: YYYY-MM-DD
up: "[[Domain MOC]]" # e.g. Machine Learning, Generative AI Resources, Software Engineering
related:
- "[[Related Concept]]"
tags:
- review
- category
---
Sections: Summary, Key Takeaways, Strengths, Weaknesses, Personal Reflection, Action Items
---
type: literature
source: "Author, Title (Year)"
url: "https://..."
created: YYYY-MM-DD
up: "[[Domain MOC]]" # e.g. Machine Learning, Software Engineering
tags:
- literature
- subject
---
When migrating from Notion, URLs often contain embedded redirects:
# Notion URL with embedded redirect
https://www.notion.so/page-name?pvs=4#id&url=https://actual-site.com/path/
# Extract only the actual destination
https://actual-site.com/path/
Rules: