SuperAPI AI Directory

random-walk

Writing & research

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Updated 10-16 01:15

About this skill

Random Walk

Luhmann deliberately created “accidents” by revisiting old cards. This skill operationalizes that habit.

Inputs

  • mode (default: random): random / theme / time / cross
  • count (default: 4): recommended 3–5
  • filter (optional): keyword or time prefix (e.g. 202401)

Workflow

Step 1: Sample notes

Sample from your note directories (adjust to your repo):

  • Notes/
  • Literature/

Strategies:

  • random: slightly bias toward older notes
  • theme: filter by keyword, then random
  • time: filter by date prefix
  • cross: force one note from different domains/categories

Step 2: Deep read — “three link questions”

For each sampled note:

  1. How does it relate to my current problem/project?
  2. What does it echo from recent learning?
  3. What new question does it create?

Step 3: Action output

  • New link → propose bidirectional write-back edits
  • New idea → propose a new fleeting/permanent note
  • Needs update → specify what to refresh
  • No signal → record why and adjust next parameters

Output template

## Random Walk Log [YYYY-MM-DD]

### Sampled notes
1. [[Note 1]] — one-line takeaway
2. [[Note 2]] — one-line takeaway

### Serendipity insights
- **[Note A] × [Current project]**: ...
- **[Note B] × [Note C]**: ...

### Actions
- [ ] [Concrete write-back change / new note]

Quality checks

  • ≥2 bidirectional link suggestions that can be written back
  • ≥1 cross-domain analogy or “unexpected link”
  • If no discoveries: explain why + propose better parameters