anti-hivemind
CommunityDetect and escape AI convergence across models.
Data & Analytics#multimodel#model-evaluation#divergence#llm-council#divergence-analysis#architecture-unique
AuthorWondermonger-daydreaming
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Detect collective homogeneity across multiple AI models and isolate architecture-unique ideas from the common hivemind.
Core Features & Use Cases
- Multi-model council execution to generate a prompt across diverse architectures.
- Divergence analysis to classify ideas into MODAL, CONVERGENT, and SINGULAR layers.
- Use cases include benchmarking, competitive intelligence, and creative direction where generic AI output risks convergence.
Quick Start
Create a 4–6 model council and run a prompt to identify architecture-common ideas and isolate architecture-unique insights.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: anti-hivemind Download link: https://github.com/Wondermonger-daydreaming/claude-skills-library/archive/main.zip#anti-hivemind Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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