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obsidian-review
Create review and literature notes from articles, books, and courses with proper source attribution
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Create review and literature notes from articles, books, and courses with proper source attribution
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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: