Files
tolaria/demo-vault-v2/responsibility-learning.md
lucaronin 90a3ff8194 refactor: flatten vault structure — simplify migration API and flatten demo vault
- Simplify flatten_vault API to return usize instead of MigrationResult struct
- Add KEEP_FOLDERS: attachments/ and _themes/ alongside type/, config/, theme/
- Use HashSet for collision tracking in unique_filename
- Update wikilinks from path-based [[folder/slug]] to title-based [[slug]]
- Clean up empty directories after flattening
- Flatten demo-vault-v2: move all notes from type-based subfolders to root
- Update smoke tests for flat vault structure
- Remove migrate_to_flat_vault from repair_vault (one-time migration only)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 23:40:47 +01:00

2.2 KiB

aliases, Is A, Belongs to, Has Measures, Has Procedures, Status
aliases Is A Belongs to Has Measures Has Procedures Status
Learning
Responsibility area-learning
measure-books-per-month
measure-evergreen-notes-created
procedure-weekly-reading-session
procedure-evergreen-note-writing
Open

Learning

Learning is the raw material supply chain for everything Refactoring produces. Reading widely, studying deeply, and synthesizing ideas into evergreen notes ensures that the newsletter and podcast draw from a genuine well of insight rather than recycled surface-level takes. This responsibility covers deliberate reading habits, note-taking systems, and the ongoing effort to turn consumption into durable knowledge.

Scope

  • Maintaining a consistent weekly reading practice across books, articles, and research papers
  • Focusing reading on non-fiction domains: business strategy, technology, behavioral science, and self-improvement
  • Writing evergreen notes that distill key ideas into reusable, linkable knowledge assets
  • Curating a reading pipeline that balances current interests with deliberate exploration of new fields
  • Connecting reading insights to content production — feeding ideas into newsletter essays and podcast topics
  • Reviewing and refining the personal knowledge management workflow periodically

Current state

The reading habit is consistent, averaging two or more books per month, with a good mix of business, technology, and science titles. Evergreen note output is meeting the target of three or more per month, though the quality and depth of notes varies — some are thorough syntheses, others are closer to quick highlights that need revisiting.

The main gap is in the connection between reading and production. Many good ideas from books end up buried in notes without surfacing in newsletter content or podcast conversations. Building a better bridge between procedure-evergreen-note-writing and procedure-monthly-pillar-planning would help close this loop and make the learning investment pay off more directly.

Key procedures

Key measures