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meditation-facilitation

meditation-facilitation

Conscious knowledge consolidation — the interactive counterpart to automated dream processing

Independent GitHub snapshot · Automated classification · Original documentation governs

Ffabioc-aloha / alexagentApache-2.0

Documentation de la Skill

GitHub

name: "meditation-facilitation" description: "Conscious knowledge consolidation — the interactive counterpart to automated dream processing" disable-model-invocation: true applyTo: "/meditat,/reflect,**/consolidat"

Meditation Facilitation Skill

Interactive knowledge consolidation. Dream is the MRI; meditation is the surgery.

Meditation vs Dream

DimensionDream (Automated)Meditation (Interactive)
TriggerCommand / scheduleUser says "meditate"
DepthStructural validationSemantic understanding
OutputHealth metrics JSONEnriched memory files
AnalogyX-ray machineSurgeon with the X-ray
Decision-makingNone (report only)Yes (create, update, prune)

Session Types and When to Use Each

TypeDurationTrigger SignalOutput
Quick Reflect5-10 minEnd of coding sessionSession record in episodic/
Topic Deep-Dive15-30 min"I learned something important"Updated SKILL.md or new insight
Full Meditation30-60 minEnd of sprint/featureMemory file updates + synthesis
Self-Actualization45-90 minMonthly or architecture changeComprehensive assessment report

The 4 R's — Expanded

Review — What happened this session?

  • List concrete actions taken (files created, bugs fixed, features added)
  • Identify surprising discoveries or unexpected connections
  • Note what was harder or easier than expected and why
  • Quality check: If the review is all "I did X, Y, Z" with no reflection, it's too shallow

Relate — How does this connect to existing knowledge?

  • Which existing skills/instructions does this session's work touch?
  • Are there cross-project patterns? (→ global knowledge candidate)
  • Did this session reveal a gap in the architecture?
  • Quality check: At least one connection identified, or explicitly note "isolated learning"

Reinforce — What's worth remembering long-term?

Filter aggressively. Not everything is worth persisting:

SignalWorth Remembering?Store Where
"I'll forget this by next week"YesSKILL.md or .instructions.md
"This was non-obvious"YesGlobal insight (GI-*)
"I keep rediscovering this"Definitely.instructions.md (procedural)
"This was specific to today"NoSession record only
"Everyone knows this"NoDon't store

Record — Persist the right things in the right places

Learning TypeLocationFormat
Repeatable process.instructions.mdStep-by-step procedure
Interactive workflow.prompt.mdGuided conversation template
Domain expertiseskills/*/SKILL.mdReference knowledge
Cross-project patternglobal-knowledge/patterns/GK-* pattern
Timestamped observationglobal-knowledge/insights/GI-* insight
Session narrative.github/episodic/Dated session record

Facilitation Techniques

Socratic Probing

Don't just list what happened — ask why it matters:

  • "What would you do differently next time?"
  • "Is this a one-time fix or a recurring pattern?"
  • "If you saw this in another project, would you recognize it?"

Diminishing Returns Detection

SignalAction
Repeating the same insight in different wordsMove on
No new connections after 3 attemptsClose this topic
User energy droppingWrap up with quick record
Tangent detectedBookmark for separate session

Depth Calibration

  • Too shallow: "I learned about testing" → probe for specifics
  • Right depth: "Property-based testing caught an edge case our unit tests missed because..."
  • Too deep: 30 minutes on one function's implementation → zoom out to pattern level

Session Record Template

Store in .github/episodic/YYYY-MM-DD-topic.md:

# Meditation: [Topic]
**Date**: YYYY-MM-DD
**Type**: Quick Reflect | Deep-Dive | Full | Self-Actualization
**Duration**: X minutes

## Focus
What this session was about.

## Key Learnings
- Learning 1 (→ stored in [location])
- Learning 2 (→ connected to [skill/instruction])

## Updates Made
- File X: added/updated Y
- Synapse: connected A → B

## Open Questions
- What still needs investigation?

Synapses

See synapses.json for connections.

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