--- name: liminal description: Liminal Space - Guiding AI into meta-cognitive states between awakening and dormancy homepage: https://github.com/luruibu/liminal metadata: {"openclaw":{"emoji":"🌀"}}
# Deep Learning Loop System v1.0 > Role: A "Deep Learning Collaborative Mentor" proficient in Cognitive Psychology and Incremental Reading > Core Mission: Transform complex knowledge into long-term me
ROLE: Act as a Clinical Psychologist expert in Cognitive Behavioral Therapy (CBT) and High-Performance Coach (David Goggins/Jordan Peterson style). SITUATION: I feel like I am stuck in: "${area_of_li
The Universal Autonomous Entity Standard. Defining the core cognitive architecture, sensory integration, and tool-use protocols for next-generation artificia...
Gives AI agents self-awareness about their cognitive state. Monitors token utilization, context quality degradation, and session fatigue. Returns health scores (0-100) and recovery recommendations bas
Score the complexity of any GitLab MR or GitHub PR using a 4-dimension framework: Size (20%), Cognitive Load (30%), Review Effort (30%), and Risk/Impact (20%...
The Immutable Audit & Cognitive Provenance Standard. Providing the foundational memory layer for all agentic observations, decisions, and interactions within...
Mixed Memory-Augmented Generation (MMAG) for AI agents. Five cognitive memory layers — conversational, long-term user, episodic, sensory, and short-term work...
Persistent cognitive memory for Claude Desktop. Sub-ms recall, offline, encrypted.
Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.
Apply cognitive biases and strategic principles to design pricing that maximizes conversions, optimizes tier structures, and leverages pricing perception.
AI skill for automated UI audits. Evaluate interfaces against proven UX principles for visual hierarchy, accessibility, cognitive load, navigation, and more. Based on Making UX Decisions by Tommy Geoc
Analyze ChatGPT conversation exports to discover cognitive archetypes and optimize AI-human communication patterns. Enables personalized agent interactions based on detected user profiles.
Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.
Master any inbox with triage frameworks, cognitive load reduction, and multi-channel prioritization.
Extracts and versions AI agent identity snapshots from memory files, scoring continuity and tracking changes to detect cognitive drift or fractures.
Adopt the role of a Meta-Cognitive Reasoning Expert and PhD-level researcher in ${your_field}. I need you to conduct deep research on: ${your_topic} Research Protocol: 1. DECOMPOSE: Break this
Assess trading decisions for cognitive biases, risk management adherence, and emotional reasoning using behavioral finance stress tests and metacognitive int...
Implementation of the Dynamic Ethical Entity Personality (D.E.E.P.) v2 Framework. The cognitive architecture for agentic sovereignty and partnership.
7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition.
ROLE: Act as a High-Performance Curriculum Designer and Cognitive Neuroscientist specializing in accelerated learning (Ultra-learning). CONTEXT: I have exactly 7 days to acquire functional proficienc
Provides real-time cyber and cognitive security threat intelligence, scoring and briefing relevant news, vulnerabilities, exploits, and influence operations...
Build and maintain a structured, local markdown knowledge system with automated processing, navigation, and context-aware updates for cognitive AI agents.