claude

gabbe-brain

GABBE brain skills (13): Brain Mode internals: cognitive architectures, active inference, global workspace, working and episodic memory, self-improvement.

23 on GitHubby Andrei Nicolae Besleagav1.1.3CC-BY-SA-4.0updated 2 days agodevelopment
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Plugin gabbe-brain from marketplace gabbe in andreibesleaga/GABBE. Commands read from the repo's manifest — yesterday.

What it installs

Skills (13)

  • active-inference

    Apply Active Inference to minimize prediction error (Surprise). Use when: active inference.

  • cognitive-architectures

    Patterns from SOAR, ACT-R, and LIDA for advanced agent cognitive cycles. Use when: cognitive, architecture, soar, act-r, lida, reasoning cycle.

  • cognitive-testing

    Test cognitive and agentic loops by their mechanisms and invariants rather than by output-equality. Use when: cognitive testing, invariant testing, convergence testing, episodic memory integrity, shadow testing, loop guard, brain mode testing.

  • consciousness-loop

    Recursive self-reference (Strange Loop) and OODA Loop implementation. Use when: consciousness loop.

  • episodic-consolidation

    Consolidate short-term events into long-term 'Semantic' memory. Use when: episodic consolidation.

  • epistemology-knowledge

    Implement rigorous knowledge representation and update beliefs via Active Inference. Use when: knowledge, epistemology, active inference, belief, truth.

  • global-workspace

    Broadcast information across the swarm 'consciousness' (Global Workspace Theory). Use when: global workspace.

  • learning-adaptation

    Mechanisms for In-Context Reinforcement Learning, Meta-Learning, and Neuroplasticity. Use when: learning adaptation.

  • neuroscience-foundations

    Apply biological brain patterns to agent design. Use when: neuroscience, brain, cognitive, thalamus, basal ganglia.

  • self-improvement

    Evolutionary mechanisms for the agent to rewrite its own prompts (Neuroplasticity). Use when: self improvement.

  • sensory-motor

    Embodied cognition patterns for treating tools as muscles and inputs as senses. Use when: sensory motor.

  • sequential-thinking

    Break down complex problems into a step-by-step chain of thought for better reasoning. Use when: think, reason, complex, plan, analyze, sequential.

  • working-memory

    Manage Short-Term 'Working Memory' using Cognitive Chunking and Attention. Use when: working memory.

View source on GitHub andreibesleaga.github.io

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