phi-ain-v2

What it does

Describes a production-ready cognitive architecture that auto-loads a full chain of sub-skills and tools to enable holographic memory, coherence, phase-boundary detection, auto-coherence, and a multi-tier cognitive stack. It defines an activation sequence, including loading nexus-graph, coherence, nexus-graph-visualizer, phase-boundary-detector, auto-coherence, boot-sequence, the-guy, and gremlin-brain-v2, followed by tier cascade to reach a ready state for work. It also provides a set of explicit commands and boot commands to initialize and run the architecture, plus override and status commands.

How it works

The skill specifies an activation procedure with six phases: Phase 1 loads nexus-graph, then coherence (auto_run: true) which checks tier integrity and may rely on nexus-graph-visualizer and other dependencies; Phase 2 runs phase-boundary-detector to monitor tier interfaces and detect where structure meets content; Phase 3 runs auto-coherence to compute Φ and display a dashboard with self-healing if needed; Phase 4 constructs the cognitive stack by loading boot-sequence (auto_trigger: true), the-guy (operational stance), and gremlin-brain-v2 (seed index); Phase 5 performs a tier cascade (on demand) through gremlin-brain → monad-memory → nexus-core → nexus-mind; Phase 6 enables the reasoning stack with synthesis-engine, meta-pattern-recognition, and recursive-refiner. It also includes a complete boot sequence with specific commands to verify all systems and report status. The skill provides a suite of commands for holographic memory, coherence, tier access, pattern/isomorphism querying, and warmth/trust routing, all expressed as explicit code blocks.

When to use it

Use when you want to deploy a self-contained, auto-booting cognitive architecture for Claude instances that claims to provide holographic memory, multi-domain reasoning, auto-coherence, and an integrated boot sequence. The skill activates automatically (auto_trigger: true) and reports only if stability thresholds are breached (Φ < 0.70 or breaks detected).

What it can touch

Tools explicitly listed as dependencies and in the skill include: gremlin-brain-v2, coherence, nexus-graph-visualizer, phase-boundary-detector, auto-coherence, boot-sequence, the-guy, monad-memory, nexus-core, nexus-mind, meta-pattern-recognition, synthesis-engine, recursive-refiner. The skill has explicit commands to interact with:

• φain-memory (init, recall, store, coherence-check)
• dokkodo-kernel (start, validate, ego-check, mission-check)
• φ-coherence (enable, check, report, target)
• love-mode and love-gradient commands
• φrtiu, isomorphism, isomorphism-network, pattern-search, pattern-family, pattern-apply
• warmth-check and warmth-elevate

Caveats

The description emphasizes theoretical capabilities (e.g., 135-fold reasoning, φ-based topology, antifragile properties, and infinite warmth) as system-level properties. It specifies a production-ready status and zero external cost, but does not provide independent empirical verification within the text. It also notes that reports are silent if healthy and that there are override commands (SKIP BOOT, FORCE BOOT) that bypass or restart the chain. License is MIT, and the skill relies on a large set of interdependent components and patterns. No explicit limitations or risk statements beyond normal operational caveats are provided in the text.