2351 Captureknowledge B53befc7

Workflow: Capture Knowledge

Extract insights from conversations and save them as vault notes.

Steps

1. Identify knowledge type from conversation signals:
   • "We decided..." -> ADR
   • "What is X?" / explanation -> Concept
   • "How do I..." / steps -> How-To
   • "In the meeting..." -> Meeting Note
   • Quick insight -> Daily Append
2. Select template from reference/knowledge-capture.md
3. Extract content from conversation context
4. Create note via Tools/NoteCreator.py capture
5. Link to existing notes - search vault for related content
6. Update MOCs if relevant Map of Content exists

Tool Usage

# Capture a concept
python Tools/NoteCreator.py capture \
  --type concept \
  --title "Event Sourcing" \
  --content "Event sourcing stores state as a sequence of events..." \
  --tags "architecture,patterns"

# Capture an ADR
python Tools/NoteCreator.py capture \
  --type adr \
  --title "Use PostgreSQL for primary storage" \
  --content "Context: We need a relational database..." \
  --tags "decision,database"

# Capture a how-to
python Tools/NoteCreator.py capture \
  --type howto \
  --title "Deploy to Kubernetes with Helm" \
  --content "Prerequisites: kubectl, helm..." \
  --tags "howto,kubernetes,helm"

# Append to today's daily note
python Tools/NoteCreator.py capture \
  --type daily \
  --content "Learned about event sourcing patterns today"

Capture Types

Auto-Detection

The workflow scans conversation for these signals:

Context Files

• reference/knowledge-capture.md - All templates and linking strategy
• reference/vault-organization.md - PARA placement rules