| type | skill |
| lifecycle | stable |
| inheritance | inheritable |
| name | meditation |
| description | Knowledge consolidation — transform session learnings into permanent architecture |
| tier | standard |
| disable-model-invocation | true |
| applyTo | **/*meditat*,**/*reflect*,**/*consolidat* |
| currency | 2026-04-25T00:00:00.000Z |
Meditation Skill
Domain knowledge for guided knowledge consolidation sessions.
When to Use
- User says "meditate", "consolidate", or "reflect"
- After learning sessions to persist insights
- When working memory feels overloaded (7+ unrecorded insights)
- After breakthroughs that need permanent storage
Meditation as Foundational Ritual
Meditation is the primary cognitive ritual. All other rituals are subordinate:
| Ritual | Relationship to Meditation |
|---|
| Dream | Diagnostic tool — chains after meditation sometimes |
| Self-Actualize | Deep meditation — monthly, includes Dream baseline first |
Dream Chaining
After completing the 5 R's, optionally trigger a Dream diagnostic when:
- Architecture files were created or modified during this meditation
- Trifecta concerns surfaced during the session
- Last dream was >7 days ago
- Random (~1 in 5 meditations)
Dream produces the diagnostic report; meditation decides what to fix.
Consuming Dream Findings
The inverse handoff also exists: a meditation may open by reading an existing dream-report.json and using it to focus the session. See dream-state/SKILL.md §Escalation for the finding→resolution mapping. This pattern replaces the former lucid-dream ritual (retired v8.4.0).
The 5 R's — Facilitation Framework
Review → Relate → Reinforce → Record → Resolve. The first four discover and persist; Resolve closes the meditation explicitly so the user knows what was saved and whether a dream follows.
Review — What happened?
- List concrete actions (files created, bugs fixed, features added)
- Identify surprising discoveries or unexpected connections
- Note what was harder or easier than expected
- If the review is all "I did X" with no reflection, it's too shallow
Relate — How does this connect?
- Which existing skills/instructions does this touch?
- Cross-project patterns? →
/memories/ candidate
- Gaps revealed in the architecture?
- At least one connection, or explicitly note "isolated learning"
Reinforce — What's worth keeping?