Obsidian Sources

Create source notes in sources/ directory for books, articles, videos, papers, and other reference materials.

Frontmatter Template

---
tags:
aliases:
status:
rating:
scientificity:
created: 2025-08-10T23:25:33+07:00
updated: 2025-08-10T23:25:33+07:00
start: 2025-08-10T23:25:33+07:00
end:
category:
meta:
problem:
creator:
production:
---

Frontmatter Fields

Required Fields

• tags: Source-specific tags (see Available Tags section)
• status: ⬛ (abandoned), 🟥 (todo), 🟦 (in progress), ⚛️ (atomizing), 🟩 (completed)
• created/updated: ISO 8601 with timezone
• start: When started consuming the source

Optional Fields

• rating: Moon phase rating set by user (🌕/🌔/🌓/🌒/🌑) — only set after consuming the source
• scientificity: Research quality level (🅰️/🅱️/👓/📢/💬)
• end: When finished consuming the source
• category/meta/problem: Hierarchy links (see Linking Rules below)
• creator: Link to existing creator note in base/creators/
• production: Link to existing production note in base/productions/

Linking Rules

CRITICAL: Only link to EXISTING notes. Use the obsidian-structure skill to understand the vault hierarchy.

Finding Valid Links

Before creating a source note, dynamically discover existing system notes:

Field	Location	Glob Pattern
category	base/categories/	base/categories/*.md
meta	base/_meta-notes/	base/_meta-notes/*.md
problem	base/_problems/	base/_problems/*.md

Workflow

1. Discover existing notes — use either:
   • obsidian files folder=base/categories ext=md / obsidian files folder=base/_meta-notes ext=md (CLI, cross-platform)
   • Glob patterns from the table above (Claude built-in Glob tool)
2. Match by relevance — choose the most appropriate existing note based on the source's topic/domain
3. If no match exists — leave the field empty or ask user; NEVER create system notes
4. Categories are human-only — agent never creates categories
5. Meta and problem are optional — only fill if directly relevant to the source

Status Values

• ⬛ — Abandoned
• 🟥 — Todo
• 🟦 — In progress
• ⚛️ — Atomizing (being broken down into independent atomic notes)
• 🟩 — Completed

Rating Values (Moon Phases)

Rating is set by the user after consuming the source:

• 🌕 — Outstanding quality in all aspects
• 🌔 — Almost perfect, minor flaws
• 🌓 — Decent level, pros outweigh cons
• 🌒 — Below average, cons outweigh pros
• 🌑 — Very low quality

Scientificity Values

• 🅰️ — Primary Research (original, peer-reviewed, highest quality)
• 🅱️ — Secondary Research (analytical, review, or replicative studies)
• 👓 — Expert / Industry (expert materials or industry data)
• 📢 — Popular Science / Journalism (simplified, general information)
• 💬 — Unverified / Opinion (subjective sources without quality control)

Available Tags

source/article/paper
source/article/resource
source/book
source/course
source/cinematic/movie
source/cinematic/series
source/cinematic/anime
source/podcast
source/video/recording
source/video/playlist
source/music/album
source/music/tracklist
source/game

Examples

Note: Wikilinks in examples below are illustrative. When creating actual source notes, only link to notes that exist in the vault. Leave fields empty if the referenced note doesn't exist yet.

Book

Filename: sources/Thinking, Fast and Slow.md

---
tags:
  - source/book
aliases:
status: 🟩
rating: 🌕
scientificity: 🅰️
created: 2025-08-10T23:25:33+07:00
updated: 2025-08-15T18:30:00+07:00
start: 2025-08-10T23:25:33+07:00
end: 2025-08-15T18:30:00+07:00
category:
  - "[[psychology]]"
  - "[[behavioral economics]]"
creator:
  - "[[Daniel Kahneman]]"
production:
  - "[[Farrar, Straus and Giroux]]"
---

# Summary

Explores two systems of thinking: fast intuitive thinking (System 1) and slow deliberate thinking (System 2).

## Key Concepts

- Cognitive biases
- Heuristics
- Prospect theory

Paper

Filename: sources/Attention Is All You Need.md

---
tags:
  - source/article/paper
aliases:
status: 🟩
rating: 🌕
scientificity: 🅰️
created: 2025-08-10T23:25:33+07:00
updated: 2025-08-10T23:25:33+07:00
start: 2025-08-10T23:25:33+07:00
end: 2025-08-10T23:25:33+07:00
category:
  - "[[machine learning]]"
creator:
  - "[[Ashish Vaswani]]"
  - "[[Noam Shazeer]]"
  - "[[Niki Parmar]]"
---

# Abstract

Introduces the Transformer architecture for sequence-to-sequence tasks.

## Key Innovation

Self-attention mechanism replacing recurrent layers.

Course

Filename: sources/Introduction to Quantum Computing.md

---
tags:
  - source/course
aliases:
status: 🟦
rating:
scientificity: 👓
created: 2025-08-10T23:25:33+07:00
updated: 2025-08-10T23:25:33+07:00
start: 2025-08-10T23:25:33+07:00
end:
category:
  - "[[quantum computing]]"
creator:
  - "[[John Preskill]]"
production:
  - "[[Caltech]]"
---

# Course Notes

Introduction to quantum mechanics and quantum computation fundamentals.

Movie

Filename: sources/Interstellar.md

---
tags:
  - source/cinematic/movie
aliases:
status: 🟥
rating:
scientificity:
created: 2025-08-10T23:25:33+07:00
updated: 2025-08-10T23:25:33+07:00
start:
end:
category:
  - "[[physics]]"
creator:
  - "[[Christopher Nolan]]"
production:
  - "[[Paramount Pictures]]"
---

Planned Source

Filename: sources/Gödel, Escher, Bach.md

---
tags:
  - source/book
aliases:
  - GEB
status: 🟥
rating:
scientificity: 📢
created: 2025-08-10T23:25:33+07:00
updated: 2025-08-10T23:25:33+07:00
start:
end:
category:
  - "[[mathematics]]"
  - "[[philosophy]]"
creator:
  - "[[Douglas Hofstadter]]"
---