Andy's Soul - AI Agent 核心操作指令 | Universal core directives for AI agents (Claude, Codex, Cursor) - Cognitive axioms + Musk's methodology + Karpathy's principles
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Updated
Jun 29, 2026
Andy's Soul - AI Agent 核心操作指令 | Universal core directives for AI agents (Claude, Codex, Cursor) - Cognitive axioms + Musk's methodology + Karpathy's principles
MCP server for unified cognitive processing — deep reasoning framework for Cline, Claude & AI code assistants
Open-source framework for growing your own "Claudicle"—an adaptive membrane for Claude Code and AI orchestrators, powered by the Open Souls paradigm
A methodology so aggressive it demands to be replaced.
Novel LLM narrative generation framework — structured story creation using cognitive inversion & deep-thinking models
A systems programming language with ownership semantics, and the cognitive framework built on top of it
☯️ Five-Phase Cognitive Flywheel — structured analysis framework for complex problems. Built by an AI agent, open-sourced for all agents.
A meta-prompt framework for calibrating AI collaboration to your cognitive architecture.
MCP Server for 6-stage Thinking Protocol Framework
A personal cognitive framework for understanding perception, nervous system load, and meaning-making.
Li Chia-Ta perspective skill — Minerva 78 Thinking Habits + Decision Intelligence for Hermes Agent
from concept to perceptual lens for ai
A multi-axis framework for evaluating cognitive agency in biological and synthetic minds.
知识蒸馏·投资认知:基于雾满龙冈公开内容提炼的投资框架与决策 Skill
蒸馏一个人的认知操作系统的 Agent Skill — 对外汉语教学法 × AI「第零阶级」方法论 × 跨时空连接思维。Distill a person's cognitive OS. Inspired by nuwa-skill.
SUBSTRATE MCP Server — Persistent AI entity framework with causal memory, emotional state, and identity continuity. By Garmo Labs.
知识蒸馏·投资认知:基于 Metalslime 公开内容提炼的投资思维模型与决策 Skill
知识蒸馏·人文认知:基于陈丹青著作与访谈提炼的思维模型和表达 Skill
🧠 An open-source framework and CLI tool to systematically enhance AI problem-solving, quality, and reasoning.
知識の冗長を抑え、意味構造を保ったまま情報を圧縮する構成的手法を提案します。 学習モデル、AI応答、教育設計などでの知識再構成と最適化に有用です。 A constructive theory for compressing knowledge while preserving semantic structure. Applicable to learning models, AI responses
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