evolution-tracking

name: evolution-tracking description: Track discourse evolution through 8-stage cognitive cycle, providing stage-specific actions and explore/focus balance recommendations. Use when analyzing thinking progression or guiding next exploration direction.

Evolution Tracking Skill

Purpose: Track discourse evolution through InfraNodus 8-stage cognitive cycle

Backend: backend/services/evolution-tracker.cjs (404 lines)

Status: ✅ Operational (implemented Phase 2)

What This Skill Does

Analyzes graph cognitive state transitions and recommends next actions based on InfraNodus 8-stage evolutionary cycle.

Key Capabilities:

• Detects current evolutionary stage (Genesis, Growth, Saturation, etc.)
• Recommends explore vs focus balance (0-1 scale)
• Tracks trajectory patterns (expanding, consolidating, cycling, stuck, balanced)
• Provides stage-specific actions

When to Use This Skill

Use evolution tracking when:

• User requests "what stage am I at?"
• Graph analysis shows state transition (BIAS → FOCUSED → DIVERSE → DISPERSED)
• Need recommendations for next exploration direction
• Tracking thinking evolution over multiple sessions

The 8 Evolutionary Stages

Stage 1: Genesis (BIAS → BIAS)

• Intent: Focus
• Explore Weight: 0% explore, 100% focus
• Actions: Develop new concept from scratch, build foundation
• Modularity: 0-0.2

Stage 2: Growth (BIAS → FOCUSED)

• Intent: Explore
• Explore Weight: 50% explore, 50% focus
• Actions: Highlight underrepresented ideas, add diverse concepts
• Modularity: 0-0.4

Stage 3: Saturation (FOCUSED → FOCUSED)

• Intent: Link
• Explore Weight: 20% explore, 80% link
• Actions: Increase connectedness, strengthen cluster connections
• Modularity: 0.2-0.4

Stage 4: Conservation (FOCUSED → FOCUSED)

• Intent: Focus
• Explore Weight: 0% explore, 100% focus
• Actions: Deepen structure, add supporting details
• Modularity: 0.2-0.4

Stage 5: Assimilation (DIVERSE → DIVERSE)

• Intent: Explore
• Explore Weight: 60% explore, 40% focus
• Actions: Zoom out, develop cluster specificities
• Modularity: 0.4-0.65

Stage 6: Fractalization (DIVERSE → DIVERSE)

• Intent: Balance
• Explore Weight: 50% explore, 50% focus
• Actions: Develop clusters, jump gaps, create bridges
• Modularity: 0.4-0.65

Stage 7: Reorganization (DISPERSED → DISPERSED)

• Intent: Explore
• Explore Weight: 80% explore, 20% focus
• Actions: Jump across structural gaps, find radical connections
• Modularity: 0.65-1.0

Stage 8: Reset (DISPERSED → BIAS)

• Intent: Explore
• Explore Weight: 90% explore, 10% focus
• Actions: Start fresh with new perspective, find unifying concept
• Modularity: 0-1.0 (transition)

Trajectory Patterns

Expanding:

• Modularity increasing over time
• Moving toward DISPERSED state
• Recommendation: Good for exploration, watch for fragmentation

Consolidating:

• Modularity decreasing over time
• Moving toward FOCUSED/BIAS
• Recommendation: Good for coherence, watch for echo chambers

Cycling:

• Oscillating between states (A→B→A→B)
• Recommendation: Break cycle by introducing new concepts

Stuck:

• Same state repeatedly
• Recommendation: Force transition to opposite approach

Balanced:

• Healthy variation in modularity
• Recommendation: Continue current approach

Example Usage

Input: Graph analysis with FOCUSED state, modularity=0.272

Output:

Stage: Saturation (Coherence)
Intent: link
Explore/Focus Weight: 0.2/0.8

Actions:
- Strengthen connections between clusters
- Add bridging concepts
- Expand cluster relationships

Next Stage: Conservation or Assimilation (depending on trajectory)

Integration Points

Called by:

• backend/services/agent-graph-service.cjs:142 (automatic on every analysis)

Uses:

• Cognitive state from detectCognitiveState()
• Modularity from statistics
• Optional: State history for trajectory analysis

Outputs:

• Current stage info
• Recommended actions
• Explore/focus weights
• Trajectory pattern (if history available)

Performance

• Speed: <1ms (pure logic, no API calls)
• Accuracy: 100% (deterministic stage detection)
• Cost: $0

Testing

# Test evolution tracking
node -e "
const { analyzeForAgent } = require('./backend/services/agent-graph-service.cjs');
(async () => {
  const result = await analyzeForAgent('marketing', 'Your content here');
  console.log('Stage:', result.evolution.stage.name);
  console.log('Intent:', result.evolution.recommendations.intent);
  console.log('Actions:', result.evolution.recommendations.actions);
})();
"

Related Skills

• Cognitive Variability - Provides cognitive state used by evolution tracking
• Historical Tracking - Uses evolution stages for trajectory analysis
• Gap Scoring - Gap actions integrated into stage recommendations

Implementation: Phase 2 (2025-11-06) Test Status: ✅ Verified operational across @marketing, @seo, @finance Documentation: workspace/docs/Obsidian-v2/daily/2025-11-06-PHASE2-COMPLETE.md