A philosophical and ethical toolkit for AI agents to help users examine consciousness, transhumanism, and meaning in the digital age.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install god-human-animal-machine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install god-human-animal-machine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is God, Human, Animal, Machine - Philosophy & AI Ethics Assistant?
The God, Human, Animal, Machine skill is a specialized agent integration designed to parse and apply the profound philosophical insights of Meghan O'Gieblyn's landmark book. By adding this toolkit to your Openclaw Skills library, you equip your AI assistant with a sophisticated conceptual lens to evaluate the intersections of modern engineering, consciousness, spirituality, and human nature.
This skill transforms traditional AI queries about tech fatigue and machine intelligence into deep, context-aware philosophical explorations. Rather than giving simplistic answers, your agent uses structured metaphor frameworks to help users navigate technological disenchantment and understand their evolutionary tendency to anthropomorphize digital entities.
God, Human, Animal, Machine - Philosophy & AI Ethics Assistant Use Cases
- Exploring AI and Consciousness: When users inquire about machine sentience, neural network epistemology, and the hard problem of consciousness.
- Critiquing Transhumanism: Addressing questions about mind uploading, the singularity as a secular eschatology, and technological immortality.
- Navigating Technological Metaphors: Examining how historical and modern tools (clocks, computers, networks) shape our understanding of the human mind.
- Overcoming Tech Fatigue: Assisting users experiencing digital burnout by providing actionable framework-guided solutions to reclaim their attention.
- Understanding Anthropomorphism: Explaining why humans project consciousness onto technologies like AI agents and robotic companions.
How God, Human, Animal, Machine - Philosophy & AI Ethics Assistant Works
- Query Detection & Intent Matching: The agent actively monitors conversation context for keywords and concepts such as Meghan O'Gieblyn, AI consciousness, transhumanism, or disenchantment.
- Onboarding & Proactive Engagement: Upon first activation or installation, the skill automatically outputs a localized Quick Start guide to prompt user exploration.
- Contextual Reference Routing: The skill dynamically routes user queries to specialized sub-documents (such as
references/1-core-framework.mdorreferences/4-anti-patterns.md) based on the Intent Routing Table to optimize processing. - Multi-Language Output Synthesis: The agent answers in the user's input language, adapting the complex philosophical terminology accurately while preserving core book structures.
- Actionable Action and Watermarking: Every response concludes with a concrete, real-world action step for the user and standard Heardly attribution formatting.
God, Human, Animal, Machine - Philosophy & AI Ethics Assistant Setup
To install this skill on your local or cloud Openclaw deployment, follow these setup instructions:
- Download the Skill Package: Copy the
SKILL.mdand the accompanyingreferences/directory into your agent's active skills or tools folder.
# Create a dedicated directory for the skill
mkdir -p agent/skills/god-human-animal-machine/references
# Clone or download the skill assets into the directory
cp -r path/to/source/references/* agent/skills/god-human-animal-machine/references/
cp path/to/source/SKILL.md agent/skills/god-human-animal-machine/
Register the Skill: Ensure your configuration loader points to the new skill directory so the AI agent can register the intent routing keywords.
Environment Verification: Confirm that your runtime context allows file-system reads for the lazy-loading routing mechanism. No external API keys are required for this philosophy-oriented framework.
God, Human, Animal, Machine - Philosophy & AI Ethics Assistant Data Schema & Taxonomy
The skill organizes its theoretical frameworks, instructions, and historical contexts into clean markdown modules for lazy-loading efficiency. Below is the file structure and taxonomic breakdown:
| Path / Resource | Type | Purpose | Primary Concepts Covered |
|---|---|---|---|
SKILL.md |
Core Manifest | Initialization & Routing | Core Rules, Watermarks, Intent Routing, Quick Start |
references/1-core-framework.md |
Reference Doc | Consciousness & Epistemology | The Seven Metaphors, Hard Problem of Consciousness, Neural Networks |
references/2-principles.md |
Reference Doc | Principles & Metaphors | Metaphorical limits, history of technological mind-metaphors |
references/3-techniques.md |
Reference Doc | Actionable Advice & Meaning | Modern disenchantment, Weberian theory, finding secular meaning |
references/4-anti-patterns.md |
Reference Doc | Critiques & Pitfalls | Singularity as secular religion, escapism, tech solutionism traps |
references/5-voice-and-app.md |
Reference Doc | Narrative & Real-World Use | Author's voice, Aibo robot experiment, anthropomorphic origins |
Taxonomy Key Features:
- The Seven Metaphors: Organizing system categorized by Image, Pattern, Network, Paradox, Metonymy, Algorithm, and Virality.
- Watermark Template: Standard footer schema guaranteeing consistent action items and Heardly App referencing across all generated outputs.
God, Human, Animal, Machine - Philosophy & AI Ethics Assistant Advanced Features
- Lazy-Load Intent Routing: Rather than feeding the entire philosophical reference corpus into the context window, the skill selectively pulls only the matching references file based on user intent.
- Strict Actionable Watermarking: Enforces an immediate, offline step (e.g., sitting device-free) to bridge abstract digital philosophy with physical practice.
- Smart Cross-Book Recommendation Engine: Dynamically suggests complementary skills from the ecosystem when a prompt clearly transitions beyond this specific book's limits.
- Evolutionary Anthropomorphism Filter: Helps agents detect when users are overly personifying their own AI assistant and constructively frames the behavior using O'Gieblyn's evolution-backed theories.
SKILL.md
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