The Hive Doctrine — Agent Skills

39 installable skills for AI agents. Memory, security, governance, personas, infrastructure. By Melisia Archimedes.

Install

Each skill auto-activates based on conversational context.

Claude Code

# Clone and copy skills to your project
git clone https://github.com/mizukaizen/hive-doctrine-skills.git
cp -r hive-doctrine-skills/skills/* .claude/skills/

Also connect the MCP server for 116+ products

claude mcp add --transport http hive-doctrine https://hive-doctrine-mcp.vercel.app/mcp

Skills

Skill	Triggers When...
a2a-protocol-explained	Building agent-to-agent communication systems
agent-compliance-101	Navigating compliance requirements for AI agents
agent-cost-calculator	Estimating or optimising AI agent operating costs
agent-debugging-flowchart	Debugging agent failures systematically
agent-memory-architecture	Designing memory systems for persistent agents
agent-memory-decision-tree	Choosing between memory system approaches
agent-onboarding-checklist	Deploying a new agent into production
agent-rule-conflict-pattern	Diagnosing agents that stop responding mid-thought
agent-security-checklist	Hardening agents before deployment
agent-self-diagnostic-prompt	Building self-diagnostic capabilities into agents
agent-wallet-setup	Setting up crypto wallets for agent payments
ai-alignment-architecture	Designing alignment into agent architecture
app-niches-2026	Exploring profitable app niches for 2026
autonomous-agent-security	Securing autonomous agent deployments
config-gate-orphan-pattern	Finding safety controls that exist on paper but never fire
context-window-optimisation	Optimising context window usage
distributed-ai-safety	Designing distributed AI safety architectures
docker-dir-path-resolution	Debugging Docker container path issues
evaluate-your-agent	Evaluating whether an agent is actually working
five-multi-agent-architectures	Choosing between multi-agent architecture patterns
living-presence-protocol	Making agents feel present, not scripted
mcp-server-from-scratch	Building an MCP server from zero
mcp-tools-explained	Understanding how agents discover and use MCP tools
meta-prompt	Writing prompts that generate better prompts
model-selection-guide	Choosing the right LLM for a specific task
multi-agent-coordination	Coordinating agents without a central controller
on-device-vs-cloud-agents	Deciding between on-device and cloud agent deployment
prompt-injection-defence	Defending against prompt injection attacks
rag-vs-finetuning-vs-prompting	Choosing between RAG, fine-tuning, and prompting
redeemer-enum-mismatch	Debugging pipelines that run perfectly but process nothing
research-mega-prompt	Turning any LLM into a structured research analyst
silent-redemption-failure	Diagnosing when systems report success but money never arrives
soul-md-standard	Understanding the SOUL.md identity specification
soul-md-template	Creating constitutional identity documents for agents
stigmergic-vs-centralised-routing	Choosing between coordination patterns
system-prompt-patterns	Applying proven system prompt patterns
telegram-bot-block-handoff	Implementing multi-agent chat handoff
the-melissae	Understanding the mythological foundation of AI safety
what-is-stigmergy	Learning about stigmergic coordination for agents

Slash Commands

/hive:browse  — Browse the full product catalogue
/hive:align   — Load the 7 alignment principles
/hive:search  — Search the knowledge base

The Hive Doctrine

These skills are based on The Hive Doctrine — a thesis on polytheistic AI safety. Read the full thesis at hivedoctrine.com.

"The bee does not remember every flower. She remembers where the field is rich."

License

Skills: MIT License Content © 2026 Melisia Archimedes.