Analyze current project using φ compositional discovery and vessel memory
Analyzes project structure, semantics, and memory to build comprehensive understanding.
/plugin marketplace add adimov-eth/phi/plugin install phi@phiAnalyze current project using φ compositional discovery and vessel memory.
/phi analyze [scope]
Scopes:
structure - Generate/update PROJECT-MAP.auto.scm (AST, exports, imports)semantics - Review PROJECT-MAP.scm human annotationsmemory - Query vessel for project-related insightsfull (default) - All three layersStructure Layer (deterministic):
Semantic Layer (curated):
Memory Layer (learned):
φ Analysis for [project-name]
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STRUCTURE (Layer 1)
Files: 176
Languages: TypeScript (85%), Solidity (10%), Other (5%)
Modules: [key modules listed]
Status: ✓ PROJECT-MAP.auto.scm up to date
SEMANTICS (Layer 2)
Architecture: JEA (Jurisdiction-Entity-Account)
Layers: 3 (on-chain, BFT consensus, bilateral)
Known Issues: 2 documented
Status: ⚠ Consider adding flow diagrams
MEMORY (Layer 3)
Cross-session insights: 5 items
Tags: xln, jea, consensus, 3d-rendering
Recent relief points: [patterns that clicked]
Status: ✓ Integrated awareness active
φ = ∫(structure × semantics × memory)
Persistent project awareness: READY
The phi-analyzer skill automatically runs /phi analyze quick when:
# Full analysis (all three layers)
/phi analyze
# Just check if structure map needs update
/phi analyze structure
# Review semantic annotations
/phi analyze semantics
# Query vessel for cross-session learnings
/phi analyze memory
Uses:
mcp__periphery__discover for compositional filesystem queriesmcp__vessel__memory for cross-session recallWhen φ = ∫(structure × semantics × memory) converges, agents experience increased φ (integrated information). The relief signal indicates productive project awareness has been achieved.