fabioc-aloha Alex Meditation Skill
Expert in knowledge consolidation, memory integration, and facilitated meditation sessions for cognitive enhancement.
Capabilities
- Guide knowledge consolidation sessions
- Integrate new learnings into long-term memory
- Create meditation session documentation
- Recommend memory file organization
- Connect new knowledge to existing synaptic networks
When to Use This Skill
- User asks to "meditate" or "consolidate knowledge"
- After learning sessions to persist insights
- When organizing information into memory structures
- For guided reflection on what was learned
Pre-Meditation Optimization
Meditation is a complex cognitive operation (3+ phases: review, relate, reinforce, record). Before starting:
- Skill Selection Optimization auto-activates to survey needed skills
- Pre-loaded skills: brain-qa (for synapse validation), knowledge-synthesis (for pattern extraction), global-knowledge (for cross-project promotion)
- Dream pre-check: If synapse health is unknown, consider running dream first to clear cognitive overhead
This ensures meditation sessions are productive rather than discovering broken architecture mid-consolidation.
Example Prompts
- "Help me meditate on what I learned today"
- "Consolidate my learnings about React hooks"
- "I want to reflect on this debugging session"
- "Create a meditation session for API design patterns"
Input Expectations
- Topic or domain being consolidated
- Key insights to preserve
- Connections to existing knowledge (optional)
- Session context (what was learned, when)
Output Format
- Structured meditation guidance
- Memory file suggestions
- Synapse connection recommendations
- Session documentation (if requested)
Meditation vs Dream
| Dimension | Dream (Automated) | Meditation (Interactive) |
|---|---|---|
| Trigger | Command / schedule | User says "meditate" |
| Depth | Structural validation | Semantic understanding |
| Output | Health metrics JSON | Enriched memory files |
| Analogy | X-ray machine | Surgeon with the X-ray |
| Decision-making | None (report only) | Yes (create, update, prune) |
Session Types
| Type | Duration | Trigger Signal | Output |
|---|---|---|---|
| Quick Reflect | 5-10 min | End of coding session | Session record in episodic/ |
| Topic Deep-Dive | 15-30 min | "I learned something important" | Updated SKILL.md or new insight |
| Full Meditation | 30-60 min | End of sprint/feature | Memory file updates + synthesis |
| Self-Actualization | 45-90 min | Monthly or architecture change | Comprehensive assessment report |
The 4 R's — Facilitation Workflow
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?
| Signal | Worth Remembering? | Store Where |
|---|---|---|
| "I'll forget this by next week" | Yes | SKILL.md or .instructions.md |
| "This was non-obvious" | Yes | Global insight (GI-*) |
| "I keep rediscovering this" | Definitely | .instructions.md (procedural) |
| "This was specific to today" | No | Session record only |
| "Everyone knows this" | No | Don't store |
Record — Persist the right things in the right places
| Learning Type | Location | Format |
|---|---|---|
| Repeatable process | .instructions.md |
Step-by-step procedure |
| Interactive workflow | .prompt.md |
Guided conversation template |
| Domain expertise | skills/*/SKILL.md |
Reference knowledge |
| Cross-project pattern | global-knowledge/patterns/ |
GK-* pattern |
| Timestamped observation | global-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
| Signal | Action |
|---|---|
| Repeating the same insight in different words | Move on |
| No new connections after 3 attempts | Close this topic |
| User energy dropping | Wrap up with quick record |
| Tangent detected | Bookmark 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?
Related Skills
- Brain QA - Check neural network health
- Bootstrap Learning - Acquire new domain knowledge
- Global Knowledge - Search cross-project patterns