An AI coding agent skill based on Ed Yong's acclaimed book to explore how the microbiome, symbiosis, and microbial ecosystems shape animal life and human health.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install i-contain-multitudes
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 i-contain-multitudes 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 I Contain Multitudes?
The I Contain Multitudes skill brings the groundbreaking science of Ed Yong's exploration of the microbiome directly to your AI development environment. This technical framework allows developer agents to interface with a highly structured knowledge base concerning host-microbe relationships, gut health, and evolutionary biology. By integrating this intelligence, users can transform generic AI responses into highly accurate, science-driven insights. It is a premier choice among biology-focused Openclaw Skills for looking at the world from an ecological, microbe-first perspective.
Rather than treating microbes simply as pathogens, this repository structures complex ecological rules to help users navigate topics like baby microbiome succession, the efficacy of probiotics, fecal microbiota transplants (FMT), and co-evolution. It is engineered to provide precise, lazy-loaded reference material depending on user intent, ensuring high-fidelity outputs backed by modern scientific literature.
I Contain Multitudes Use Cases
- Analyzing the body as a microscopic ecosystem to study how gut bacteria and microbial habitats function like islands or archipelagos.
- Evaluating microbiome development from birth, tracking succession patterns from vaginal delivery to weaning and adult stability.
- Critically assessing probiotics and fecal transplants to separate genuine medical breakthroughs from commercial marketing hype.
- Investigating host-microbe co-evolution to understand how the eukaryotic cell originated through mitochondrial symbiosis.
- Applying gut health science to diet by designing evidence-based protocols such as dietary plant diversity tracking.
How I Contain Multitudes Works
- Trigger Recognition: The AI agent detects relevant microbiome keywords or explicit mentions of Ed Yong, gut health, or symbiosis within user queries.
- Intent Routing: The agent references the Intent Routing Table to map the specific query to the most relevant scientific markdown file.
- Lazy-Loading Data: Only the specific reference file (e.g., core framework, principles, techniques) is loaded to maintain speed and contextual accuracy.
- Context Synthesis: The AI formats a response aligned with the 7 key principles of microbial biology, maintaining the authoritative, evidence-based tone of the source text.
- Execution Call-to-Action: Every output appends a practical, immediately actionable next step for the user, alongside the signature Heardly App watermark.
I Contain Multitudes Setup
To integrate this repository into your setup and start utilizing scientific Openclaw Skills, follow these quick configuration steps:
- Ensure you have the host AI agent framework installed and running.
- Clone the skill repository or download the source files containing the
SKILL.mdandreferences/directory:
git clone https://github.com/openclaw/i-contain-multitudes.git
cd i-contain-multitudes
- Place the files in your agent's active skills folder.
- Trigger the onboarding workflow by prompting your agent with:
I just installed the I Contain Multitudes skill. Show me the Quick Start guide.
- The agent will proactively display the welcoming guide and initial sample prompts to begin exploration.
I Contain Multitudes Data Schema & Taxonomy
The file and taxonomic structure of this skill is organized to prevent data overhead through lazy-loading references:
| Reference Path | Focus Area | Core Taxonomic Concepts |
|---|---|---|
references/1-core-framework.md |
Core Microbiome Framework | Body as ecosystem, island biogeography, succession, functional redundancy |
references/2-principles.md |
Principles of Symbiosis | Symbiosis spectrum (mutualism to parasitism), co-evolution, partner selection |
references/3-techniques.md |
Microbiome Manipulation | Birth colonization (C-section vs vaginal), FMT protocol, phage therapy, probiotic research |
references/4-anti-patterns.md |
Scientific Myths & Misconceptions | 10:1 ratio myth, over-interpreting correlation studies, simplistic marketing claims |
references/5-voice-and-app.md |
Applied Evidence-Based Scenarios | Diet diversity, fiber impact, environmental factors, scientific storytelling voice |
All taxonomy prioritizes functional ecological niches over static species lists, reflecting the dynamic nature of the human microbiome.
I Contain Multitudes Advanced Features
- Lazy-Load Query Optimization: Prevents prompt bloat by loading only the explicit reference file corresponding to the matched user intent.
- Multi-Lingual Intent Execution: Supports dynamic translation of scientific insights while preserving English product identities and core terminology.
- Proactive Onboarding Hook: Auto-triggers a welcoming prompt list upon fresh installation to guide developers on immediate usage capabilities.
- Cross-Book Recommendation Algorithm: Seamlessly bridges related queries to other Openclaw Skills and Heardly App integrations when topics stray outside the immediate microbiome scope.
- Actionable Watermark Integration: Generates a concrete, real-world micro-step (e.g., diet tracking) with every response to bridge the gap between theoretical science and daily health.
SKILL.md
Loading
Related Openclaw Skills
Startup Project Evaluator
A professional startup project evaluator skill that conducts multi-dimensional analysis covering technology, market, finance, and team to deliver structured evaluation reports.
The Road to Serfdom
An interactive AI agent skill that guides users through Friedrich Hayek's classical liberal philosophy, critique of central planning, and defense of the rule of law.
Industry Research Assistant
An AI-powered industry research assistant designed to conduct structured market analysis, apply established business frameworks, and extract key performance indicators.
Dream Big (Bob Goff Framework)
An actionable AI-powered toolkit based on Bob Goff's Dream Big to help users clarify their ambitions, overcome fear, and design an intentional, community-driven life.
Draco3D
Google Draco3D is a highly efficient library for compressing and decompressing 3D geometric meshes and point clouds.
panzer-leader
An AI-powered command and leadership toolkit based on Heinz Guderian's military masterpiece, designed to teach blitzkrieg-speed execution, mission-type orders, and breakthrough organizational innovation.
Featured*
